What are people searching for in February 2023

What is trending in February 2023

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What are people searching for in February 2023

 

In February 2023, people around the world will continue to look to Google Trends to gain insight into what others are searching for online. Trends show that as winter continues, people will be researching ways to lighten their mood with fun activities, trying out new recipes and exploring different destinations they’d like to explore once they can travel again. There’s no telling what else will come up on those lists of searches in February 2023, but one thing is certain – the trends tell us a lot about the current state of mindsets around the world.

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As winter comes to an end, February is the month for Half Term holidays, World Nutella Day, Groundhog Day and St. Valentine’s Day.

 

Top trends February 28, 2023

Top trends February 27, 2023

 

 


Top trends February 27, 2023

Top trends February 24, 2023

Top questions about spring cleaning

When does spring cleaning start?

Spring cleaning typically starts in the early spring, sometime between late February and early April, depending on the region and climate.

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What is spring cleaning?

Spring cleaning refers to the annual practice of thoroughly cleaning and decluttering one’s home, usually in the springtime. It involves tasks that go beyond the regular cleaning and organization that occur on a daily or weekly basis.

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When is spring cleaning day?

There is no specific “spring cleaning day” that is universally recognized. Spring cleaning is usually spread out over several days or weeks, depending on the size of the home and the amount of cleaning that needs to be done.

What is the purpose of spring cleaning?

The purpose of spring cleaning is to deep clean and declutter the home after the long, stagnant winter months. It helps to refresh the living space, improve indoor air quality, and create a more comfortable and welcoming environment for the warmer months ahead.

When to start spring cleaning?

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The best time to start spring cleaning is when the weather starts to warm up and the days start to get longer. This is usually in late February or early March in many regions. However, the exact timing may vary depending on individual schedules and preferences.

Top trending “cleaning hacks…” 

What are some Shower head cleaning hacks?

  1. Use white vinegar: Fill a plastic bag with white vinegar and tie it around the shower head. Leave it for a few hours, then remove the bag and run the shower to rinse it clean.
  2. Baking soda and vinegar: Mix equal parts baking soda and white vinegar to create a paste. Apply the paste to the shower head, let it sit for an hour, then rinse it off with water.
  3. Toothbrush and baking soda: Wet a toothbrush, dip it in baking soda, and scrub the shower head thoroughly. Rinse with water.

What are some Microwave cleaning hacks?

  1. Vinegar and water: Mix equal parts white vinegar and water in a microwave-safe bowl. Microwave for 5 minutes, then wipe clean with a damp cloth.
  2. Lemon and water: Cut a lemon in half, place it in a bowl with water, and microwave for 2-3 minutes. Let it cool for a few minutes, then wipe the interior of the microwave with a cloth.
  3. Dish soap and water: Mix a few drops of dish soap with water in a spray bottle. Spray the interior of the microwave, then wipe clean with a damp cloth.

What are some Tide pod couch cleaning hacks?


  1. Damp cloth: Dampen a cloth with water and use it to gently blot the stain.
  2. Vinegar solution: Mix equal parts white vinegar and water in a spray bottle. Spray the solution onto the stain, then blot with a cloth.
  3. Tide pod and warm water: Dissolve a Tide pod in warm water, then dip a cloth in the solution and use it to gently clean the stain.

What are some How to make car slime cleaning hacks?

  1. Borax and warm water: Mix 1/2 cup of borax with 2 cups of warm water. Add a few drops of food coloring for a fun touch.
  2. Cornstarch and dish soap: Mix 1/2 cup of cornstarch with 1/4 cup of dish soap. Knead the mixture until it forms a slime-like consistency.
  3. Glue and baking soda: Mix 1/2 cup of clear glue with 1/4 cup of baking soda. Add a few drops of food coloring if desired. Knead the mixture until it forms a slime-like consistency.

What are some Oven cleaning hacks?

  1. Baking soda and vinegar: Mix baking soda and water to create a paste. Spread the paste over the interior of the oven and let it sit overnight. Spray vinegar over the paste, then wipe it clean with a damp cloth.
  2. Ammonia: Place a bowl of ammonia in the oven overnight. The next day, wipe the interior of the oven clean with a damp cloth.
  3. Lemon and salt: Cut a lemon in half, sprinkle salt on the cut side, and use it to scrub the interior of the oven. Wipe clean with a damp cloth.

Top questions on hospice care

What is hospice care?

Hospice care is a type of specialized medical care that focuses on providing comfort and support for individuals who are nearing the end of their lives. Hospice care is typically provided in the patient’s home or in a hospice facility, and it is designed to improve the quality of life for patients and their families during this difficult time.

What to expect in hospice care?

In hospice care, patients can expect to receive a wide range of services, including pain management, symptom control, emotional and spiritual support, and assistance with daily activities. Hospice care is designed to be tailored to the individual needs of the patient and their family, and it may involve a team of healthcare professionals, including doctors, nurses, social workers, chaplains, and volunteers.


Who pays for hospice care at home?

Hospice care at home is typically covered by Medicare, Medicaid, and most private insurance plans. Some hospice organizations also offer financial assistance to help cover the costs of care for patients who do not have insurance or who have limited resources.

What hospice does not tell you?

While hospice care can be an invaluable source of support and comfort for patients and their families, there are some things that hospice providers may not tell you, such as the fact that hospice care is not a cure and that it is intended to provide comfort and support rather than aggressive medical treatment. Hospice providers may also not disclose the potential limitations of hospice care, such as the fact that it may not be able to meet all of a patient’s needs.

Why is Jimmy Carter in hospice care?

Jimmy Carter, the former President of the United States, is in hospice care due to his age and a diagnosis of metastatic melanoma. Hospice care is intended to provide comfort and support for patients in their final days or weeks of life, and it is designed to help manage symptoms and improve the quality of life for both patients and their families.

Top questions on melanoma 

How does melanoma start?

Melanoma is a type of skin cancer that starts in the cells that produce pigment in the skin. It typically starts as a mole or other spot on the skin that changes in size, shape, or color over time.

How deadly is melanoma?

Melanoma can be a deadly form of cancer, particularly if it is not caught early. However, the prognosis for melanoma is generally good when it is detected and treated early. The five-year survival rate for melanoma is around 95% for cases that are caught in the early stages.

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What is melanoma cancer?

Melanoma is a type of cancer that develops in the cells that produce pigment in the skin. It can occur anywhere on the body, but it is most commonly found on the skin. Melanoma can be a serious and potentially deadly form of cancer, but early detection and treatment can significantly improve the prognosis.

Is melanoma skin cancer?

Yes, melanoma is a type of skin cancer that develops in the cells that produce pigment in the skin. It is one of the most serious forms of skin cancer, but it is also one of the less common types.

Where is melanoma found?

Melanoma can occur anywhere on the body, but it is most commonly found on the skin. It can also develop in other areas that contain pigment-producing cells, such as the eyes, mucous membranes, and even internal organs such as the liver or lungs in rare cases.

 

Top trends February 23, 2023

Top trends February 22, 2023

Top trends February 21st, 2023

Top questions about earthquakes, past day, worldwide

Q: What causes earthquakes? A: Earthquakes are caused by the sudden release of energy in the Earth’s crust or upper mantle. This can occur due to tectonic movements, volcanic activity, human activities such as mining or construction, and meteorite impacts.

Q: What is an earthquake? A: An earthquake is a sudden shaking of the ground caused by the movement of tectonic plates beneath the Earth’s surface. This can result in damage to buildings, roads, and other structures.

Q: What to do in an earthquake? A: During an earthquake, it is important to stay calm and take cover under a sturdy object such as a table or desk. If outside, move to an open area away from buildings, trees, and power lines. After the shaking stops, check for injuries and damage, and follow instructions from local authorities.

Q: What is earthquake light? A: Earthquake light is a phenomenon where unusual lights are observed in the sky before, during, or after an earthquake. These lights can appear as flashes or glowing streaks and may be caused by the release of electrical charges during seismic activity.

Q: How long do earthquakes last? A: The duration of an earthquake can vary depending on the size and location of the earthquake. Small earthquakes may last only a few seconds, while larger earthquakes can last for several minutes or more. After the main shock, there may be aftershocks that can continue for days, weeks, or even months.

Top questions about dementia, past day, worldwide

Q: What is dementia?

A: Dementia is a general term for a decline in mental ability severe enough to interfere with daily life. It affects memory, thinking, and behavior and can lead to a loss of independence.

Q: Is dementia hereditary?

A: Some types of dementia have a genetic component, such as familial Alzheimer’s disease or Huntington’s disease. However, most cases of dementia are not directly inherited and are instead influenced by a combination of genetic and environmental factors.

Q: What causes dementia?

A: Dementia can be caused by a variety of factors, including brain damage due to strokes, head injuries, or diseases such as Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease. Other factors that can contribute to the development of dementia include high blood pressure, high cholesterol, and smoking.

Q: How to prevent dementia?

A: While there is no known cure for dementia, there are steps that can be taken to reduce the risk of developing it. These include maintaining a healthy diet and exercise regimen, managing conditions such as high blood pressure and diabetes, staying mentally and socially active, and avoiding smoking and excessive alcohol consumption.

Q: What is frontotemporal dementia?

A: Frontotemporal dementia is a type of dementia that primarily affects the frontal and temporal lobes of the brain. It can cause changes in personality and behavior, as well as language difficulties. Unlike Alzheimer’s disease, it often affects younger individuals, typically in their 50s or 60s.

Top questions about frontotemporal dementia, past day, worldwide

Q: What is frontotemporal dementia?

A: Frontotemporal dementia (FTD) is a type of dementia that primarily affects the frontal and temporal lobes of the brain, which are responsible for personality, behavior, and language. FTD can cause changes in behavior, emotions, and judgment, as well as difficulty with language and movement.

Q: What are the 7 stages of frontotemporal dementia?

A: Frontotemporal dementia is often divided into three main stages: early, middle, and late. Within these stages, symptoms can vary, but generally, FTD is characterized by changes in behavior and personality, such as increased apathy, social withdrawal, and loss of empathy.

Q: What is the life expectancy with frontotemporal dementia?

A: The life expectancy for individuals with frontotemporal dementia can vary depending on the subtype and the individual’s overall health. However, on average, individuals with FTD live for 6-8 years after diagnosis, although some may live for up to 15 years.

Q: What causes frontotemporal dementia?

A: The exact cause of frontotemporal dementia is unknown, but it is believed to be caused by a combination of genetic and environmental factors. Mutations in certain genes can increase the risk of developing FTD, and some cases are believed to be caused by brain injuries, infections, or other underlying medical conditions.

Q: What lobes of the brain are affected by frontotemporal dementia?

A: Frontotemporal dementia primarily affects the frontal and temporal lobes of the brain, which are responsible for personality, behavior, and language. The damage caused by FTD can lead to changes in behavior, emotions, and judgment, as well as difficulty with language and movement.

Top trends February 20th, 2023

Top “what does…do to the body” related to chemical substances

  • What does Formaldehyde do to the body? Formaldehyde is a colorless gas with a strong odor that is used in many industries. Exposure to formaldehyde can cause irritation of the eyes, nose, and throat, as well as coughing, wheezing, and skin rashes. Long-term exposure has been linked to an increased risk of cancer, including leukemia and other types of cancer.

  • What does Vinyl chloride do to the body? Vinyl chloride is a chemical used in the production of PVC plastic. Exposure to high levels of vinyl chloride can cause damage to the liver, lungs, and central nervous system. Long-term exposure has been linked to an increased risk of a rare form of liver cancer called angiosarcoma.

  • What does Cyanide do to the body? Cyanide is a highly toxic chemical that interferes with the body’s ability to use oxygen. Exposure to high levels of cyanide can cause rapid breathing, confusion, seizures, and loss of consciousness. It can be fatal in a matter of minutes.

  • What does Carbon monoxide do to the body? Carbon monoxide is a colorless, odorless gas that is produced by incomplete combustion of fossil fuels. Exposure to high levels of carbon monoxide can cause headaches, dizziness, nausea, confusion, and loss of consciousness. In severe cases, it can be fatal.

  • What does Nitric acid do to the body? Nitric acid is a highly corrosive chemical used in the production of fertilizers, dyes, and other chemicals. Exposure to nitric acid can cause severe burns to the skin, eyes, and respiratory system. Inhaling nitric acid can cause respiratory distress, including coughing, wheezing, and shortness of breath. Prolonged exposure can cause lung damage and increase the risk of lung cancer.

 

Top searched questions related to the train derailment

  • Where was White Noise filmed? White Noise is a 2005 supernatural horror film directed by Geoffrey Sax and starring Michael Keaton. It was filmed in Vancouver, British Columbia, Canada.

  • Who owns Norfolk Southern? Norfolk Southern Corporation is a major transportation company in the United States. As of my knowledge cutoff in September 2021, the company was publicly traded and owned by its shareholders.

  • Can lungs recover from hydrochloric acid inhalation? Inhalation of hydrochloric acid can cause severe damage to the lungs, leading to a range of respiratory problems. The extent of lung recovery from such damage depends on the severity and duration of exposure. In some cases, lung function can partially or fully recover with appropriate medical treatment and lifestyle changes. However, in more severe cases, permanent damage may occur.

  • What is vinyl chloride used for? Vinyl chloride is a colorless gas that is used primarily to make polyvinyl chloride (PVC), a widely used plastic. PVC is used to make a variety of products, including pipes, wire and cable coatings, flooring, and medical equipment.

  • What is vinyl chloride? Vinyl chloride is a chemical compound with the formula C2H3Cl. It is a colorless gas that is used in the production of polyvinyl chloride (PVC), a type of plastic that is widely used in construction, automotive, and medical industries. Vinyl chloride is classified as a human carcinogen and exposure to high levels can cause a range of health problems, including liver damage and nerve damage.

 

Top trends February 16th, 2023

How to get help with rent: There are several ways to get help with rent, including applying for rental assistance programs through the government or local organizations, seeking help from non-profit organizations, and asking for temporary assistance from family or friends. It is also a good idea to communicate with your landlord about any financial difficulties you may be experiencing and to work together to find a solution.

How to get help with housing: There are several resources available to help individuals and families find affordable housing, including government-subsidized housing programs, non-profit organizations, and local housing authorities. You can also search online for rental listings, contact real estate agents, or seek help from social workers or housing advocates.

How to get help with electric bill: There are several ways to get help with paying your electric bill, including contacting your electric company to discuss payment plans or discounts, applying for energy assistance programs through the government or local organizations, seeking help from non-profit organizations, and exploring other financial assistance options.

How to get help for depression: There are several ways to get help for depression, including seeking professional help from a mental health provider, such as a therapist or psychiatrist, joining a support group, talking to your primary care physician, or reaching out to hotlines or crisis centers. It is important to seek help as soon as possible, especially if you are experiencing severe symptoms.

How to get help for mental health: There are several resources available to get help for mental health, including seeking professional help from a mental health provider, such as a therapist or psychiatrist, joining a support group, talking to your primary care physician, or reaching out to hotlines or crisis centers. It is important to seek help as soon as possible, especially if you are experiencing severe symptoms or are in crisis. Additionally, some workplaces and universities offer employee assistance programs or counseling services for mental health.

 

 

 

 

 

 

 

How does social media affect mental health? Social media can have both positive and negative effects on mental health. On one hand, it can provide social support, connection, and positive reinforcement. On the other hand, excessive use of social media can lead to negative effects such as increased anxiety, depression, social comparison, cyberbullying, and addiction. It is important to use social media in moderation and to be aware of the potential risks.

What is nitric acid used for? Nitric acid is a strong acid that is commonly used in the production of fertilizers, dyes, and explosives. It is also used in the manufacturing of certain metals and in the purification of water.

How to help someone with depression? To help someone with depression, it is important to provide emotional support, listen without judgment, and encourage them to seek professional help. You can also offer practical support, such as helping with household tasks or accompanying them to appointments. It is important to remember that depression is a medical condition that requires professional treatment.

How to help someone having a panic attack? To help someone having a panic attack, it is important to remain calm, provide reassurance, and help them focus on their breathing. Encourage them to breathe slowly and deeply, and remind them that the panic attack will eventually pass. If necessary, offer to help them seek professional help or accompany them to an appointment.

How to help someone with anxiety? To help someone with anxiety, it is important to provide emotional support, listen without judgment, and encourage them to seek professional help. You can also offer practical support, such as helping with household tasks or accompanying them to appointments. Encourage them to practice relaxation techniques, such as deep breathing or meditation, and to engage in regular exercise.

How to help an alcoholic? To help an alcoholic, it is important to encourage them to seek professional help and to offer emotional support. You can also help them to find resources, such as support groups or treatment centers, and to develop a plan for recovery. It is important to remember that alcoholism is a medical condition that requires professional treatment, and that recovery is a long-term process.

Top trends February 15th, 2023

How often can you donate plasma? It depends on the regulations of the plasma donation center and your individual health status. In general, you can donate plasma twice a week with at least one day in between donations.

How often can you donate blood? It depends on the regulations of the blood donation center and your individual health status. In general, you can donate whole blood every 56 days, or double red blood cells every 112 days.

How much do you get for donating plasma? The compensation for donating plasma varies depending on the donation center and the location. On average, donors can receive between $20 to $50 per donation.

How long does it take to donate plasma? The process of donating plasma usually takes around 1 to 2 hours. The exact time can depend on factors such as the donor’s physical condition, the donation center’s process, and the size of the needle used.

How much blood do you donate? During a whole blood donation, which is the most common type of blood donation, you typically donate one pint or 470 milliliters of blood. However, the amount of blood collected can vary slightly depending on the blood donation center and the donor’s weight and height.

Top trends February 14th, 2023

Did the US shoot down a UFO?

  • There is no credible evidence to suggest that the US or any other country has ever shot down a UFO.

What are these UFOs?

  • The term UFO stands for “Unidentified Flying Object,” which refers to any object or phenomenon in the sky that cannot be immediately identified or explained.

How many UFOs have been shot down?

  • There is no confirmed record of any UFO being shot down.

Are the UFOs aliens?

  • The nature and origin of UFOs, whether they are of extraterrestrial or terrestrial origin, is unknown and subject to speculation and debate.

What does UFO mean?

  • UFO is an acronym for Unidentified Flying Object, which refers to any object or phenomenon in the sky that cannot be immediately identified or explained.

Fantasia sereia Carnaval: This is a costume idea for Carnival that involves dressing up as a mermaid, with a tail and seashell bra or other mermaid-inspired attire.

Fantasia vandinha Carnaval: This is a costume idea for Carnival inspired by the character Wednesday Addams from the Addams Family. It could involve wearing a black dress with a white collar and perhaps braiding one’s hair.

Fantasia de Carnaval policial: This is a costume idea for Carnival that involves dressing up as a police officer, with a badge, hat, and other police-inspired attire.

Fantasia de Carnaval diabinha: This is a costume idea for Carnival that involves dressing up as a devil, with horns, a tail, and other devil-inspired attire.

Fantasia de Carnaval coelhinha: This is a costume idea for Carnival that involves dressing up as a bunny, with ears, a tail, and other bunny-inspired attire.

Aniversário tema Carnaval: This phrase suggests a birthday party with a Carnival theme, where the decorations, costumes, and activities may be inspired by the Carnival festival.

Festa tema Carnaval: This phrase suggests a party with a Carnival theme, where the decorations, costumes, and activities may be inspired by the Carnival festival.

Decoração tema Carnaval: This phrase suggests decorations with a Carnival theme, such as colorful banners, masks, streamers, and other items associated with the Carnival festival.

Unhas tema Carnaval: This phrase suggests nail art with a Carnival theme, where the nails may be decorated with bold and bright colors, patterns, and designs associated with the Carnival festival, such as masks, feathers, or other Carnival-inspired imagery.

Top trends February 13th, 2023

Top searched “for…” related to self-love, past week, US

Affirmations for self-love:

  1. I love and accept myself exactly as I am.
  2. I am deserving of love and respect, and I give it to myself freely.
  3. I trust myself to make the best decisions for my life and well-being.
  4. I am worthy of care and kindness, and I treat myself with compassion.
  5. I am grateful for all that I am and all that I have, and I choose to focus on my strengths and achievements.

Journal prompts for self-love:

  1. What are some things that make me feel happy and loved?
  2. What are my biggest accomplishments, and how can I celebrate and acknowledge them?
  3. What is one thing I appreciate about myself today?
  4. What are some negative thoughts or beliefs I have about myself that I can challenge and reframe in a more positive light?
  5. What is one thing I can do to take care of myself physically, emotionally, or mentally today?
  6. What are some of my core values, and how can I ensure that I am honoring them in my daily life?
  7. What are some things that I am grateful for in my life, and how can I cultivate more gratitude?
  8. How can I be more kind and compassionate to myself, especially during times of stress or difficulty?
  9. What are some things I can do to practice self-care and prioritize my own needs?
  10. What are some affirmations or positive messages I can tell myself when I need a reminder of my worth and value?

Quotes for self-love:

  1. “You yourself, as much as anybody in the entire universe, deserve your love and affection.” – Buddha
  2. “Love yourself first and everything else falls into line.” – Lucille Ball
  3. “Self-love is the source of all our other loves.” – Pierre Corneille
  4. “To fall in love with yourself is the first secret to happiness.” – Robert Morley
  5. “Self-compassion is simply giving the same kindness to ourselves that we would give to others.” – Christopher Germer
  6. “You are enough just as you are.” – Meghan Markle
  7. “The most powerful relationship you will ever have is the relationship with yourself.” – Steve Maraboli
  8. “When you recover or discover something that nourishes your soul and brings joy, care enough about yourself to make room for it in your life.” – Jean Shinoda Bolen
  9. “Love yourself enough to set boundaries. Your time and energy are precious. You get to choose how you use it. You teach people how to treat you by deciding what you will and won’t accept.” – Anna Taylor
  10. “The better you feel about yourself, the less you feel the need to show off.” – Robert Hand

Crystals for self-love:

  1. Rose Quartz: Known as the stone of love, this crystal promotes self-love, self-acceptance, and compassion.

  2. Amethyst: Helps to release negative thoughts and emotions, promoting a sense of inner peace and self-awareness.

  3. Citrine: Boosts self-confidence and self-worth, helping to bring a positive outlook on life.

  4. Clear Quartz: Amplifies energy and helps to clarify thoughts and emotions, promoting self-reflection and self-awareness.

  5. Rhodonite: Encourages self-love and self-acceptance, and helps to release emotional wounds and past hurts.

  6. Green Aventurine: Helps to release old patterns and habits, promoting self-forgiveness and self-compassion.

  7. Black Onyx: Provides strength and grounding, helping to release negative self-talk and self-doubt.

  8. Moonstone: Encourages emotional balance and stability, and helps to promote self-care and self-nurturing.

  9. Labradorite: Helps to strengthen intuition and self-awareness, promoting self-discovery and self-love.

  10. Garnet: Promotes self-empowerment and confidence, and helps to release self-imposed limitations and self-doubt.

Self-love activities for kids:

  1. Positive affirmations: Encourage kids to create a list of positive affirmations about themselves and read them aloud every day.

  2. Gratitude journaling: Encourage kids to write down a list of things they are grateful for every day to promote a positive mindset and self-appreciation.

  3. Self-care routine: Teach kids how to take care of their bodies through healthy eating, exercise, and proper sleep habits.

  4. Mindful breathing: Teach kids simple breathing exercises to help them manage stress and anxiety, and promote a sense of calm.

  5. Creative expression: Encourage kids to engage in creative activities like drawing, painting, or writing to express their emotions and promote self-discovery.

  6. Time in nature: Spend time in nature with kids to help them connect with the environment and cultivate a sense of inner peace and well-being.

  7. Acts of kindness: Encourage kids to perform acts of kindness for others to promote empathy and compassion.

  8. Positive self-talk: Teach kids how to identify negative self-talk and replace it with positive self-talk to promote a positive self-image.

  9. Learning new skills: Encourage kids to learn new skills or take on new challenges to build self-confidence and a sense of accomplishment.

  10. Playtime: Make time for play and relaxation to promote a sense of joy and well-being.

Top searched “self care gift for…,” past week, US

  1. Care gift for Women

  2. Care gift for Men

  3. Care gift for New moms

  4. Care gift for Employees

  5. Care gift for Friends

Top events/activities for single people, past week, US

  1. Speed dating

  2. Cruises

  3. Mixers

  4. Concerts

  5. Cooking classes

Top types of events for single people, past week, US

  1. Valentines singles events

  2. Online singles events

  3. Sober singles events

  4. Free singles events near me

  5. Church events for valentines day for singles

Top solo travel destination, past week, US

  1. Costa Rica

  2. Rome

  3. Thailand

  4. Vietnam

  5. Bali

Top “is it weird to … alone,” past week, US

  1. Is it weird to go to a bar alone?

  2. Is it weird to go to a concert alone?

  3. Is it weird to go to a restaurant alone?

  4. Is it weird to go to the movies alone?

  5. Is it weird to go to a club alone?

Top trends February 12th, 2023

Top trends February 11th, 2023

Top trends February 10th, 2023

Patrick Mahomes is named the NFL’s 2022 Most Valuable Player

Chocolate FAQs

How to make chocolate covered strawberries:

Ingredients:

  • 1 pint fresh strawberries
  • 12 ounces semisweet chocolate chips
  • 1 tablespoon vegetable oil

Instructions:

  1. Wash and dry the strawberries, making sure they are completely dry.
  2. Melt the chocolate chips and oil in a double boiler or in the microwave, stirring frequently, until smooth.
  3. Hold each strawberry by the stem, dip it into the melted chocolate, and let any excess chocolate drip off.
  4. Place the chocolate-covered strawberries on a sheet of wax paper and let them cool and set for at least 30 minutes.
  5. Serve the strawberries or store them in an airtight container in the refrigerator for up to 2 days.

Is dark chocolate good for you: Yes, dark chocolate can be good for you in moderation. Dark chocolate is high in antioxidants, which can help reduce inflammation and lower the risk of certain diseases. It is also a good source of iron, magnesium, and zinc. However, it is important to keep in mind that dark chocolate is high in calories and fat, so it should be consumed in moderation as part of a balanced diet.

Is red velvet chocolate: Red velvet is a type of cake that is often flavored with cocoa powder and buttermilk, and is usually tinted red with food coloring. The flavor of red velvet is often described as mild, slightly chocolatey, and tangy. While there are chocolate-based red velvet recipes, it is not considered to be a chocolate cake.

What is white chocolate: White chocolate is a type of chocolate that is made from cocoa butter, sugar, and milk solids, but does not contain cocoa solids. White chocolate has a sweet, creamy flavor and a smooth, melting texture. Unlike dark or milk chocolate, white chocolate does not contain any cocoa solids, so it does not have the same chocolate flavor.

How to make chocolate:

Ingredients:

  • 1 cup cocoa butter
  • 1 cup cocoa powder
  • 1 cup powdered sugar
  • 1 teaspoon vanilla extract

Instructions:

  1. Melt the cocoa butter in a double boiler or in the microwave, stirring frequently, until it is completely melted.
  2. Stir in the cocoa powder, powdered sugar, and vanilla extract until the mixture is smooth.
  3. Pour the mixture into a silicone mold or a sheet pan lined with wax paper.
  4. Place the mold or pan in the refrigerator until the chocolate is firm, about 30 minutes to 1 hour.
  5. Remove the chocolate from the mold or pan and store it in an airtight container in the refrigerator. To serve, let the chocolate come to room temperature before breaking or cutting it into pieces.

Galentine’s Day FAQ

 

Galentine’s day gift ideas:

    • Personalized jewelry
    • A spa day package or massage gift certificate
    • A unique, sentimental photo frame or album
    • A stylish and cozy blanket or throw
    • A subscription box or monthly delivery of self-care items
    • A cookbook or kitchen gadget for her favorite meals or treats

Galentine’s day cards:

  • Handmade or customized cards with heartfelt messages
  • Humorous cards that reflect your friends’ personalities or inside jokes
  • Pop-up cards with interactive elements or 3D designs
  • Personalized cards with photos or special memories from your friendship

Galentine’s day games:

  • Trivia games or quizzes about your favorite TV shows, movies, or celebrities
  • Board games or card games that you can play together
  • Escape room-style games or puzzles
  • Creative writing games, such as writing your own short story together

Galentine’s day decorations:

  • Streamers, balloons, and banners in your favorite colors
  • DIY flower arrangements or paper flower décor
  • Ambient lighting such as fairy lights or candles
  • Table settings and centerpieces to make the occasion feel special

Galentine’s day activities:

  • A fun movie night with your favorite snacks and drinks
  • A brunch or potluck with your favorite breakfast foods
  • A cooking or baking class to learn a new recipe together
  • A creative workshop or craft session, such as painting or calligraphy
  • A shopping or spa day with your friends.

How to make Friends FAQs

How to make friends as an adult:

  • Join a club or group that aligns with your interests, such as a hiking club or a book club
  • Attend networking events or conferences related to your industry or passion
  • Volunteer for a cause you care about and meet like-minded individuals
  • Take a class or workshop to learn a new skill and meet others with similar interests
  • Start conversations with people you meet in your daily life, such as at the gym or the coffee shop

How to make friends at school:

  • Join a club or sports team that aligns with your interests
  • Participate in school events and activities
  • Volunteer for school projects or events
  • Start conversations with classmates and engage with them in class discussions
  • Be friendly and approachable, and show an interest in others

How to make friends in high school:

  • Join a club or sports team that aligns with your interests
  • Participate in school events and activities
  • Volunteer for school projects or events
  • Start conversations with classmates and engage with them in class discussions
  • Attend social events outside of school, such as parties or sports games
  • Be friendly and approachable, and show an interest in others

How to make friends in college:

  • Join clubs or organizations that align with your interests
  • Attend social events, such as parties or sporting events
  • Participate in campus activities and events
  • Volunteer for campus projects or events
  • Take advantage of opportunities to meet new people, such as during orientation or welcome week
  • Be friendly and approachable, and show an interest in others

How to make friends in a new city:

  • Join local groups or organizations that align with your interests
  • Attend events and activities in the community, such as festivals or concerts
  • Volunteer for local causes or events
  • Take a class or workshop to learn a new skill and meet others with similar interests
  • Meet neighbors and start conversations with people you meet in your daily life
  • Be friendly and approachable, and show an interest in others.
 
 

Top trends February 08th, 2023

 
 
 
Sudden Stratospheric Warming: What is a sudden stratospheric warming event?
 

 

 
 
 
 

 

Top questions about State of Emergency, past day, Türkiye

Ohal ilan edilince ne olur? (“What happens when a state of emergency is declared?“) 

When a state of emergency is declared, it gives the government broader powers to respond to a crisis. The specifics of what happens can vary depending on the jurisdiction, but some common measures that may be taken during a state of emergency include:

  • Activation of emergency plans and mobilization of emergency response personnel and resources
  • Implementation of emergency regulations and restrictions, such as curfews, travel restrictions, and the suspension of civil liberties (such as the right to assemble)
  • Authorization for the government to take over control of transportation, communication, and other critical infrastructure
  • Allocation of additional funding and resources to support the emergency response
  • Declaration of martial law, which gives the military control over the administration of justice in the affected area

It’s important to note that declaring a state of emergency is a serious step and should only be done in response to a real crisis that poses a significant threat to public health, safety, or welfare. The powers granted to the government during a state of emergency are temporary and are intended to be used only as long as they are necessary to address the crisis.

Ohal ilan edilen iller? ( “Which provinces have declared emergency?”) 10 hit provinces including include Kahramanmaraş, Hatay, Gaziantep, Osmaniye, Malatya, Adıyaman, Adana, Diyarbakır, Kilis and Şanlıurfa

Ohal nedir nasıl uygulanır? (“What is OHAL and how is it applied?”)

OHAL is an abbreviation of the Turkish phrase “Olağanüstü Hal” which means “State of Emergency”. In Turkey, a state of emergency (OHAL) is a legal framework that provides the government with additional powers to address a perceived threat to national security or public order.

The OHAL regime is typically declared by the President of Turkey with the approval of the Parliament, and it allows the government to take a range of exceptional measures, such as:

  • Suspending certain rights and freedoms, including the right to assemble, freedom of expression, and the right to a fair trial
  • Imposing curfews, travel restrictions, and other forms of control over movement and communication
  • Taking over control of critical infrastructure, such as transportation and communication networks
  • Allocating additional funding and resources to support the emergency response
  • Granting the security forces and the police additional powers, including the authority to conduct searches and make arrests without a warrant

The OHAL regime is intended to be temporary and is typically in effect for a limited period of time, which can be extended if necessary. However, the government’s powers under OHAL are subject to review by the judiciary, and human rights organizations have raised concerns about the impact of OHAL on civil liberties and the rule of law in Turkey.

Olağanüstü hal ne demek? (“What needs to happen for a state of emergency?”)

A real crisis that poses a significant threat to public health, safety, or welfare.

Ohal nasıl uygulanır? (“How is OHAL applied?”)

The application of OHAL (State of Emergency) in Turkey is governed by the Constitution and various emergency laws.

The process of declaring OHAL typically starts with the President of Turkey submitting a proposal to the Parliament to declare a state of emergency. If the Parliament approves the proposal, the President then issues a decree that officially declares OHAL and outlines the exceptional measures that will be taken.

Once OHAL is declared, the government is granted additional powers to address the perceived threat to national security or public order. These powers can include:

  • Suspending certain rights and freedoms, such as freedom of assembly and freedom of expression
  • Imposing curfews, travel restrictions, and other forms of control over movement and communication
  • Taking over control of critical infrastructure, such as transportation and communication networks
  • Allocating additional funding and resources to support the emergency response
  • Granting the security forces and the police additional powers, including the authority to conduct searches and make arrests without a warrant

The OHAL regime is typically in effect for a limited period of time, which can be extended if necessary. However, the government’s use of its powers under OHAL is subject to review by the judiciary, and human rights organizations have raised concerns about the impact of OHAL on civil liberties and the rule of law in Turkey.

Top questions on “nba scoring record” in the moments after LeBron set it, US

Who holds the NBA scoring record? Lebron James with 38,388 points and counting

What is the NBA scoring record? The most points scored by a single player during regular seasons games.

When did Kareem set the scoring record? Kareem Abdul-Jabbar set the scoring record on April 5, 1984, in a game against the Seattle SuperSonics. He passed Wilt Chamberlain as the all-time leading scorer in NBA history and held the record for more than three decades.

How many seasons did Kareem play? Kareem Abdul-Jabbar  scored 38,387 points during his 20-season career.

Who are the top 10 scorers in NBA history?

The top 10 scorers in NBA history as of February 09th, 2023 are:

  1. LeBron James – 38,388 points (and counting)
  2. Kareem Abdul-Jabbar – 38,387 points
  3. Karl Malone – 36,928 points
  4. Kobe Bryant – 33,643 points
  5. Michael Jordan – 32,292 points
  6. Dirk Nowitzki – 31,560 points
  7. Wilt Chamberlain – 31,419 points
  8. Shaquille O’Neal – 28,596 points
  9. Moses Malone – 27,409 points
  10. Hakeem Olajuwon – 26,946 points

 

Top trends February 07th, 2023

Super Bowl LVII (57) Odds
SuperBowl LVII Picks

Manchester United vs Leeds: Preview, Predictions, Live streaming, Scores

Top Trends February 06th, 2023

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Top questions about Türkiye and Syria, past day, worldwide

What do earthquake experts say about the Turkey earthquake? – The US Geological Survey said the 7.8 magnitude tremor struck at 04:17 local time (01:17 GMT) at a depth of 17.9km (11 miles) near the city of Gaziantep. Seismologists said the first quake was one of the largest ever recorded in Turkey.
 
Which number should we call in an earthquake? – In Turkey, people can call the emergency line “112” in the event of an earthquake or other emergency situations.
 
What does AFAD emergency application do? – AFAD emergency application provides information about earthquakes and other disasters in Turkey.
 
What does level 4 alarm mean? – Level 4 alarm typically indicates a high level of emergency, such as a severe earthquake.
 
How to become an UMKE volunteer? – To become an UMKE volunteer in Turkey, interested individuals can visit the website of the Disaster and Emergency Management Presidency (AFAD) and look for information on volunteering.
 
 
How to help the Turkey earthquake? – People can help by donating to disaster relief organizations or by volunteering through organizations such as the Disaster and Emergency Management Presidency (AFAD).
 
Where is Kahramanmaraş in Turkey? – Kahramanmaraş is a city located in the south of Turkey.
 

Top questions about 2024 US presidential election, past week, US

When is the 2024 US presidential election? – The 2024 US presidential election is scheduled to take place on November 5, 2024.
 
Who is running for president in 2024? – The official list of candidates for the 2024 US presidential election is not yet available, as the election is still more than two years away.
 
Is Donald Trump running for the 2024 US presidential election? Yes the clown is running.
 
Who are the 2024 presidential candidates so far? – Donald Trump, Joe Biden, Ron Desantis, Mike Pence , and a lot more coming….
 
Is Ron DeSantis running for president? Probably
 
When does Biden’s presidency end? President Biden’s presidency will end on January 20, 2025, unless he is re-elected to a second term.
 
When did Biden take office? President Biden took office on January 20, 2021.
 
How much money has the Biden administration printed? The Biden administration has not directly printed money. The authority to print money lies with the Federal Reserve, which is an independent central bank and not part of the executive branch. However, the Biden administration has proposed and enacted various fiscal and monetary policies that can affect the money supply and the economy. It is not possible to quantify the exact amount of money that has been printed or created as a result of these policies.
 
How much has the Biden administration spent? It is difficult to quantify the exact amount that the Biden administration has spent, as the federal government’s budget and spending are complex and multi-faceted. The Biden administration has proposed and enacted various spending plans and initiatives, including the American Rescue Plan, which is a $1.9 trillion COVID-19 relief package. Additionally, the administration has also proposed a multi-trillion dollar infrastructure plan. The actual amount spent would depend on the specifics of the proposals and the decisions made by Congress.
 
What has the Biden administration done?

 

The Biden administration has taken a number of actions and initiatives since taking office on January 20, 2021. Some of the key actions and priorities of the administration include:

  • COVID-19 response: The Biden administration has prioritized the response to the COVID-19 pandemic, including implementing widespread vaccination efforts, providing economic relief to individuals and businesses, and implementing measures to slow the spread of the virus.
  • Infrastructure: The administration has proposed a multi-trillion dollar infrastructure plan, which includes investments in areas such as transportation, clean energy, and broadband access.
  • Climate change: The Biden administration has taken a number of steps to address the issue of climate change, including rejoining the Paris Agreement and implementing a number of executive actions aimed at reducing greenhouse gas emissions.
  • Social and racial justice: The administration has taken a number of actions aimed at promoting social and racial justice, including implementing measures to address systemic racism and police reform.
  • International relations: The Biden administration has taken steps to restore and strengthen relationships with America’s allies, while also taking a more assertive approach towards nations that pose a threat to US security and interests.

This is not a comprehensive list, and the administration has taken many other actions and initiatives on a wide range of issues.

 

Top Trends February 04th, 2023

Top Trends February 03rd, 2023

What is medical billing and coding? 

Medical billing and coding is the process of submitting and following up on claims with insurance companies to receive payment for healthcare services. It involves assigning codes to various medical procedures and diagnoses and entering them into a patient’s medical record.

How much do medical billing and coding make? 

The median salary for a medical biller and coder is around $40,000 per year, although this can vary depending on the location, experience, and qualifications.

What happens if you don’t pay a medical bill?  

If you don’t pay a medical bill, the healthcare provider may send the bill to collections and report it to the credit bureaus, which can negatively impact your credit score. In some cases, the healthcare provider may also take legal action to collect the debt.

What happens if a medical bill goes to collections? 

If a medical bill goes to collections, it can negatively impact your credit score and make it more difficult to obtain loans, credit cards, or other forms of credit in the future. Collection agencies may also attempt to collect the debt through phone calls, letters, or wage garnishment.

What does a medical biller do? 

A medical biller’s primary responsibilities include reviewing and coding medical records, submitting claims to insurance companies, following up on denied claims, and ensuring that patients are billed accurately and in a timely manner. They may also work with patients to resolve billing issues and answer any questions they may have.

How to get rid of medical debt?

To get rid of medical debt, you can try to negotiate a payment plan with the healthcare provider, apply for financial assistance or charity care, or use a medical debt relief program. You can also look into medical debt consolidation loans or negotiate with collection agencies to settle the debt for less than the full amount owed.

How to negotiate medical debt in collections?

To negotiate medical debt in collections, you can reach out to the collection agency and explain your financial situation. Offer to pay a portion of the debt in a lump sum or in monthly payments over a certain period of time. Be sure to get the agreement in writing.

How to dispute medical debt? 

To dispute medical debt, you can request a copy of the itemized bill and check for errors or charges that you don’t recognize. If you find a mistake, you can request that the debt be corrected or removed from your credit report. If the debt is accurate, you can still negotiate a settlement with the collection agency.

How to buy medical debt? 

Medical debt is typically sold by healthcare providers to collection agencies for a fraction of the original amount owed. Buying medical debt can be a risky investment, as the likelihood of collecting the debt can depend on the debtor’s financial situation.

How to get medical debt removed from credit report? 

To get medical debt removed from your credit report, you can dispute it with the credit bureaus. If the debt is found to be inaccurate or not properly verified, it must be removed from your credit report. You can also negotiate with the collection agency to have the debt removed from your credit report as part of a settlement agreement.

Top Trends February 02nd, 2023

 

Trending questions on Tom Brady, past day, US

  1. When did Tom Brady retire the first time? February 01st,  2022.

  2. How many times has Brady retired? 2 times

  3. Why did Tom Brady retire? Old age (45 ), declining performance

  4. How long was Tom Brady in the NFL? 23 seasons

  5. How much is FOX paying Tom Brady? 10-year deal worth $375 million.

Trending questions on Tom Brady, Feb 1 2022, US

  1. Why did Brady leave the Patriots? In March 2020, Tom Brady left the New England Patriots as a free agent and signed with the Tampa Bay Buccaneers. The move was seen as a surprising change after 20 seasons with the Patriots, but it allowed him to explore new opportunities and take on a new challenge.
  2. Is Tom Brady playing in the Pro Bowl? As of 2023, Tom Brady has been selected to the Pro Bowl several times throughout his career, but it is not currently known if he will be playing in the upcoming Pro Bowl.
  3. How many children does Tom Brady have? Tom Brady has three children. He has two sons, Jack and Benjamin, and a daughter, Vivian.
  4. Is Tom Brady going to retire as a Patriot? Tom Brady is currently playing for the Tampa Bay Buccaneers and it is unknown if he will return to the New England Patriots in the future.
  5. How old was Tom Brady when he won the Super Bowl? Tom Brady was 24 years old when he won his first Super Bowl with the New England Patriots in February 2002.

What is data privacy? Data privacy refers to the protection of personal information and the rights of individuals to control the collection, storage, use, and dissemination of that information. It involves safeguarding sensitive information from unauthorized access, misuse, or unauthorized disclosure, and ensuring that data is collected, stored, and processed in a manner that complies with legal and ethical standards. Data privacy also includes the right to know what personal information is being collected about an individual, the right to access and control that information, and the right to have that information deleted. In the digital age, data privacy has become an increasingly important issue as more and more personal information is being collected, stored, and shared online.

  • The green comet: The comet C/2022 E3 has a bright green center and will pass in the night and early morning sky in a once-in-a-thousand year appearance over the next couple days depending on what hemisphere one lives in.

Top trending questions on internet privacy, past year, US

  1. What is my IP? Your IP (Internet Protocol) address is a unique numerical identifier assigned to your device when you connect to the internet. It is used to communicate with other devices on the internet and to identify your device to websites and services you use. You can find your IP address by searching “What is my IP” on any search engine.
  2. What is internet security? Internet security refers to the measures taken to protect devices, networks, and data from unauthorized access, theft, and damage. It encompasses various technologies, practices, and processes designed to keep online activities and information secure.
  3. What is an internet security key? An internet security key is a small device that provides an extra layer of security when connecting to Wi-Fi networks. It generates a unique, encrypted code that is used to access the Wi-Fi network, making it much more difficult for unauthorized users to gain access.
  4. Which internet security is best? There is no one-size-fits-all answer to this question as the best internet security solution will depend on your specific needs and the devices you use. Some popular internet security solutions include antivirus software, firewalls, and virtual private networks (VPNs). It is recommended to research and compare different options before making a decision.
  5. Is internet security necessary? Yes, internet security is necessary in today’s digital age where cyber attacks and data breaches are becoming increasingly common. Having strong internet security measures in place can help protect your personal and sensitive information, as well as your devices and networks, from potential threats.

Top trending “how to” on scams, past week, US

  1. How to block scam likely calls: To block scam likely calls on your phone, you can use the call blocking feature provided by your phone’s operating system, or you can download a third-party app that specializes in blocking unwanted calls. Additionally, you can add the number to your phone’s block list, or you can contact your phone service provider and ask them to block the number for you.

  2. How to scam a scammer: Scamming a scammer is illegal and unethical. It is not recommended to engage in such behavior as it can have serious consequences.

  3. How to report a scam website:

    To report a scam website, you can do the following:

    • Report it to the website’s hosting company
    • Report it to the relevant government agencies, such as the Federal Trade Commission (FTC) in the US
    • Report it to online platforms where you found the website, such as Google
  4. How to report a scammer:

    To report a scammer, you can do the following:

    • Report the scam to the relevant government agencies, such as the Federal Trade Commission (FTC) in the US
    • Report the scam to the company that the scammer is using to receive payment
    • Report the scam to the website or platform where you found the scammer, if applicable
  5. How to tell if a job is a scam:

    To tell if a job is a scam, you can look out for red flags such as:

    • A company that asks for money upfront
    • An offer that sounds too good to be true
    • No face-to-face interview
    • No company website or social media presence

Top Trends February 01st, 2023

 

Top “…for Black history month”

  1. Quotes for black history month:

    1. Darkness cannot drive out darkness; only light can do that. Hate cannot drive out hate; only love can do that.” – Martin Luther King Jr.
    2. I have learned over the years that when one’s mind is made up, this diminishes fear; knowing what must be done does away with fear.” – Rosa Parks
    3. If you want to say it with flowers, fine. But be sure to say it with words too.” – Maya Angelou
  2. Poems for black history month: 

    1. I, Too” by Langston Hughes
    2. Still I Rise” by Maya Angelou
    3. We Real Cool” by Gwendolyn Brooks
    4. Afrika” by Mari Evans
    5. When Black People Are” by Essex Hemphill
    6. The Black Man Speaks” by Robert Hayden
    7. In the Shadow of No Towers” by Amiri Baraka
    8. Harlem” by Langston Hughes
    9. Riot” by Safiya Sinclair

    These poems showcase the experiences and perspectives of black people, as well as their strength, resilience, and beauty.

  3. Songs for black history month: 

    1. Lift Every Voice and Sing” by James Weldon Johnson and J. Rosamond Johnson
    2. Say It Loud – I’m Black and I’m Proud” by James Brown
    3. A Change Is Gonna Come” by Sam Cooke
    4. What’s Going On” by Marvin Gaye
    5. Respect” by Aretha Franklin
    6. Imagine” by John Lennon
    7. I Wish” by Stevie Wonder
    8. Killing in the Name” by Rage Against the Machine
    9. A Song for Assata” by Common
    10. The World Is a Ghetto” by War

    These songs reflect the black experience in America and around the world, and convey messages of struggle, hope, and pride.

  4. Books for black history month:

    1. The Autobiography of Malcolm X” by Malcolm X and Alex Haley
    2. Between the World and Me” by Ta-Nehisi Coates
    3. Their Eyes Were Watching God” by Zora Neale Hurston
    4. The Souls of Black Folk” by W.E.B. Du Bois
    5. I Know Why the Caged Bird Sings” by Maya Angelou
    6. The Color Purple” by Alice Walker
    7. Native Son” by Richard Wright
    8. Black Boy” by Richard Wright
    9. Go Tell It on the Mountain” by James Baldwin
    10. The Condemnation of Blackness: Race, Crime, and the Making of Modern Urban America” by Khalil Gibran Muhammad

    These books offer a diverse range of perspectives on the black experience, including memoirs, fiction, history, and cultural analysis.

  5. Movies for black history month: 

    1. Malcolm X” (1992)
    2. 12 Years a Slave” (2013)
    3. Black Panther” (2018)
    4. The Color Purple” (1985)
    5. Moonlight” (2016)
    6. Do the Right Thing” (1989)
    7. Selma” (2014)
    8. Glory” (1989)
    9. If Beale Street Could Talk” (2018)
    10. Hidden Figures” (2016)

    These films showcase the experiences and perspectives of black people throughout history and address themes of identity, oppression, resistance, and triumph.

Top “who was the first black…”, all time, US

  1. Who was the first Black president?: The first Black president of the United States was Barack Obama, who served two terms from 2009 to 2017. Prior to his presidency, he served as a U.S. Senator from Illinois. Obama was the 44th President of the United States and the first African American to hold the office. During his presidency, he implemented a number of important policies and initiatives, including the Affordable Care Act, the Dodd-Frank Wall Street Reform and Consumer Protection Act, and the repeal of the “Don’t ask, don’t tell” policy for gay and lesbian soldiers.

  2. Who was the first Black baseball player?: The first Black baseball player in the Major Leagues was Jackie Robinson, who broke the color barrier when he debuted for the Brooklyn Dodgers on April 15, 1947. Prior to joining the Dodgers, Robinson played in the Negro Leagues and was a standout player. His signing with the Dodgers was a significant event in the civil rights movement and helped to pave the way for other Black athletes to play in the Major Leagues. Robinson went on to have a Hall of Fame career, winning the National League Rookie of the Year award in 1947 and the Most Valuable Player award in 1949. He was inducted into the Baseball Hall of Fame in 1962.

  3. Who was the first Black supreme court justice? The first Black Supreme Court Justice was Thurgood Marshall, who was appointed by President Lyndon B. Johnson in 1967. Prior to his appointment, Marshall was a prominent civil rights attorney and the lead counsel in the landmark case Brown v. Board of Education, which declared segregation in public schools to be unconstitutional. As a Supreme Court Justice, Marshall was a strong advocate for civil rights and worked to advance the cause of racial equality during his 24 years on the bench. After retiring from the Supreme Court, he continued to be an influential voice in American life until his death in 1993.

  4. Who was the first Black superhero? The first Black superhero in mainstream American comic books is considered to be the Black Panther, created by writer Stan Lee and artist Jack Kirby, and first appearing in Fantastic Four #52 in July 1966. The Black Panther, also known as T’Challa, is the king and protector of the African nation of Wakanda and possesses superhuman abilities and advanced technology. He was the first Black superhero in mainstream American comics and has since become one of the most popular and important characters in the Marvel Universe. The Black Panther has been featured in several comic book series, television shows, and movies and continues to be an important character in the representation of Black people in popular culture.

  5. Who was the first Black basketball player? The first Black basketball player in the National Basketball Association (NBA) was Earl Lloyd. He made his debut for the Washington Capitols on October 31, 1950. Lloyd was one of three African American players to enter the league that year, along with Nathaniel “Sweetwater” Clifton and Chuck Cooper, breaking the color barrier in professional basketball. Lloyd went on to have a successful career in the NBA, playing for several teams before retiring in 1960. He was inducted into the Naismith Memorial Basketball Hall of Fame in 2003.

Ice Storm

Top questions about Ice Storm, past day, US

  1. What is an ice storm? An ice storm is a type of winter weather event characterized by the accumulation of frozen precipitation, such as sleet or freezing rain, on surfaces such as roads, trees, and power lines. The precipitation forms a layer of ice that can make travel and outdoor activities difficult or impossible. Ice storms can cause significant damage to power lines and trees, leading to power outages and structural damage. They can also make roads and sidewalks slippery and dangerous, increasing the risk of traffic accidents and falls. Ice storms can occur anywhere that freezing rain or sleet falls, but are most common in temperate regions where the temperature is close to or just below freezing.

  2. Where is the ice storm? You can check the current weather conditions and ice storm warnings in your area by visiting the website of your local weather agency, such as the National Weather Service (NWS) in the United States, or by using a weather app on your phone. These sources will have up-to-date information on the location and severity of any ice storms in your area.

  3. Is there an ice storm tomorrow? I am sorry, as an AI language model I do not have access to real-time information about the weather. You can check the weather forecast for your area from reliable sources such as your local weather agency or a weather app on your phone to see if there is an ice storm expected tomorrow. These sources will have the latest information on the current weather conditions and any expected weather events, including the possibility of an ice storm. It is always a good idea to stay informed of the latest weather conditions and to take appropriate safety measures to protect against the dangers posed by an ice storm or other severe weather events.

  4. What is an ice storm warning? An ice storm warning is a weather advisory issued by government weather agencies, such as the National Weather Service (NWS) in the United States, when conditions are favorable for the formation of an ice storm. The warning is issued to alert the public to the potential for significant icing conditions, which can make travel and outdoor activities hazardous. An ice storm warning means that a significant amount of freezing rain or sleet is expected, which can result in the accumulation of ice on roads, trees, and power lines. The public is advised to take precautions and to avoid travel if possible, as road conditions can become treacherous and power outages are possible. If an ice storm warning is issued, it is important to stay informed of the latest weather conditions and to take appropriate safety measures to protect against the dangers posed by an ice storm.

  5. What schools closed tomorrow? You can check with your local school district or visit their website to see if any schools in your area will be closed tomorrow. Additionally, you can check local news websites or listen to the news on the radio or television to get the latest information on school closures in your area. It is also possible to check social media or online forums, as many parents and community members may post updates on school closures in their area.

Top questions about the Colorado River, past day, US

  1. Where does the Colorado River start? The Colorado River starts in the Rocky Mountains of Colorado, near the city of Granby. The river begins as a small stream fed by snowmelt and rainfall and gradually grows in size as it collects additional water from tributaries along its path. The Colorado River flows over 1,400 miles through seven US states, including Colorado, Wyoming, Utah, Nevada, Arizona, California, and New Mexico, before emptying into the Gulf of California in Mexico. The Colorado River is an important source of water for agriculture, recreation, and hydropower generation, and is also critical to the ecology of the southwestern United States, providing habitat for a variety of plant and animal species.

  2. How many states does the Colorado river run through? The Colorado River flows through seven US states: Colorado, Wyoming, Utah, Nevada, Arizona, California, and New Mexico. The river originates in the Rocky Mountains of Colorado and flows over 1,400 miles before emptying into the Gulf of California in Mexico. The Colorado River is an important source of water for agriculture, recreation, and hydropower generation, and is also critical to the ecology of the southwestern United States, providing habitat for a variety of plant and animal species.

  3. Why is the Colorado River drying up? 

    The Colorado River is facing multiple challenges that have led to declining flows and the drying up of parts of the river. Some of the main reasons for this include:

    1. Overuse: The Colorado River is one of the most heavily managed and utilized river systems in the world, with water from the river being used for a variety of purposes, including agriculture, municipal water supplies, and hydropower generation. This heavy demand for water has led to overuse of the river and declining flows.
    2. Climate change: Rising temperatures and changing precipitation patterns are contributing to declining snowpack in the Rockies, which is an important source of water for the Colorado River. As a result, less water is available for the river, leading to declining flows.
    3. Dams and diversions: The construction of large dams and water diversions on the Colorado River has disrupted natural flow patterns and reduced the amount of water available in the river.
    4. Invasive species: Non-native plants and animals, such as tamarisk and quagga mussels, are causing problems in the Colorado River ecosystem and using up water that would otherwise be available for the river.

    Efforts are underway to address these challenges and find sustainable solutions for the Colorado River. These include water conservation programs, efforts to control invasive species, and the development of new water management strategies to ensure that water is used in a sustainable and responsible way.

  4. Where does the Colorado River end? The Colorado River ends in the Gulf of California in Mexico. The river originates in the Rocky Mountains of Colorado and flows over 1,400 miles through seven US states, including Colorado, Wyoming, Utah, Nevada, Arizona, California, and New Mexico, before emptying into the Gulf of California. The Colorado River delta was once a lush, vibrant wetland ecosystem, but has largely been reduced to a dry and arid region as a result of human activities, including the diversion of water from the river for agriculture and other uses. In recent years, there have been efforts to restore some of the ecological functions of the Colorado River delta, including the implementation of water-sharing agreements and the release of water into the delta to support native species and ecosystems.

  5. Is the Colorado River rising? I am sorry, as an AI language model I do not have access to real-time information about the status of the Colorado River. The water levels of the Colorado River can vary greatly depending on a variety of factors, including precipitation, temperature, water usage, and dam operations. To get the most up-to-date information on the current status of the Colorado River, you can check with the local water management agency or consult a trusted weather source. These organizations will have the most accurate and current information on the water levels of the Colorado River, as well as any potential impacts or changes to the river’s flow.

Top questions about Drought in California, past day, US

  1. Is California still in a drought? California’s drought is not over, but a cavalcade of atmospheric river storms over the past three weeks has brought substantial relief to the state’s water crisis in at least the short term, with big recent boosts to snowpack and reservoir levels.

  2. How much rainwater does the city of Phoenix get in a year? The city of Phoenix, Arizona, receives an average of 8 to 10 inches of rainfall per year. This amount of rainfall is relatively low compared to other regions of the United States and is characteristic of the Sonoran Desert climate that prevails in the Phoenix area. The low amount of rainfall in Phoenix, combined with the high evaporation rate due to the hot and dry climate, means that the city must rely on other sources of water, such as the Colorado River, to meet its water needs. Despite the low rainfall, it is still important for residents of Phoenix to conserve water and practice responsible water usage in order to ensure a sustainable water supply for the future.

  3. What is a drought? A drought is a prolonged period of abnormally low rainfall or low water availability, resulting in a shortage of water for various uses, including drinking, agriculture, and energy production. Droughts can have a significant impact on local communities, causing crop failure, water shortages, and increased wildfires, among other things. The severity of a drought can vary, ranging from a mild and short-lived event to a severe and long-lasting crisis. Droughts can be caused by a variety of factors, including natural climate patterns, such as El Niño, human activities, such as the over-extraction of water from rivers and aquifers, and climate change, which is causing changes in precipitation patterns and increasing temperatures in many regions of the world. To mitigate the impacts of droughts, communities and water managers may implement water conservation measures, develop alternative water sources, and take steps to increase water efficiency and reduce water waste.

  4. What are some solutions that the city is considering to ring in more water? 

    1. Water reuse and recycling: Many cities are looking at ways to reuse treated wastewater for non-potable uses, such as irrigation, industrial cooling, and landscaping, in order to reduce the demand for fresh water.
    2. Desalination: In coastal cities, desalination is becoming an increasingly popular solution for water scarcity, as it allows communities to convert seawater into fresh water.
    3. Water conservation: Cities are implementing programs to conserve water through measures such as fixing leaks, using low-flow toilets and showerheads, and promoting water-efficient landscaping.
    4. Stormwater management: Many cities are exploring ways to capture and store stormwater, which can be used to recharge aquifers and supplement drinking water supplies during dry periods.
    5. Importing water: In some cases, cities may consider importing water from other regions or countries in order to meet their water needs.
    6. Water trading: Some cities are exploring water trading, in which water rights are bought and sold, as a way to allocate water to where it is most needed and reduce water waste.

    These are just a few examples of the solutions that cities are considering to bring in more water and ensure a sustainable water supply. The specific solutions that a city will pursue will depend on a variety of factors, including its local climate, water availability, and infrastructure.

  5. What is the problem that Phoenix is facing regarding its water supply? 

    Phoenix, Arizona, is facing several challenges with its water supply, including limited local sources of water, increasing demand for water, and the impacts of climate change. Some of the specific problems that Phoenix is facing include:

    1. Limited local water supplies: The city of Phoenix is located in the Sonoran Desert, which receives very little rainfall and has limited surface water resources. The city relies heavily on the Colorado River, which is over-allocated and faces increasing competition from other cities and industries.
    2. Growing population: Phoenix is one of the fastest-growing cities in the United States, and its population is expected to continue to grow in the coming years. This increase in population is putting additional pressure on the city’s water supply.
    3. Climate change: Climate change is causing changes in precipitation patterns and increasing temperatures in many regions of the world, including the Southwest. These changes are making it increasingly difficult to manage water resources in Phoenix and other desert cities.
    4. Competition for water: The Colorado River, which provides the majority of Phoenix’s water supply, is facing increasing competition from other cities and industries that are also reliant on the river.

    To address these challenges, the city of Phoenix and its water managers are exploring a variety of solutions, including water reuse and recycling, water conservation, and the development of alternative water sources, such as desalination and stormwater management. However, finding sustainable and long-term solutions to the city’s water challenges will require a combination of technological innovation, policy changes, and changes in water usage behavior by residents and businesses.

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What are the Greenest or Least Environmentally Friendly Programming Languages?

What are the Greenest or Least Environmentally Programming Languages?

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What are the Greenest or Least Environmentally Friendly Programming Languages?

Technology has revolutionized the way we live, work, and play. It has also had a profound impact on the world of programming languages. In recent years, there has been a growing trend towards green, energy-efficient languages such as C and C++.  C++ and Rust are two of the most popular languages in this category. Both are designed to be more efficient than traditional languages like Java and JavaScript. And both have been shown to be highly effective at reducing greenhouse gas emissions. So if you’re looking for a language that’s good for the environment, these two are definitely worth considering.

The study below runs 10 benchmark problems in 28 languages [1]. It measures the runtime, memory usage, and energy consumption of each language. The abstract of the paper is shown below.

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“This paper presents a study of the runtime, memory usage and energy consumption of twenty seven well-known software languages. We monitor the performance of such languages using ten different programming problems, expressed in each of the languages. Our results show interesting findings, such as, slower/faster languages consuming less/more energy, and how memory usage influences energy consumption. We show how to use our results to provide software engineers support to decide which language to use when energy efficiency is a concern”. [2]

According to the “paper,” in this study, they monitored the performance of these languages using different programming problems for which they used different algorithms compiled by the “Computer Language Benchmarks Game” project, dedicated to implementing algorithms in different languages.

The team used Intel’s Running Average Power Limit (RAPL) tool to measure power consumption, which can provide very accurate power consumption estimates.

The research shows that several factors influence energy consumption, as expected. The speed at which they are executed in the energy consumption is usually decisive, but not always the one that runs the fastest is the one that consumes the least energy as other factors enter into the power consumption equation besides speed, as the memory usage.


Energy

From this table, it is worth noting that C, C++and Java are among the languages that consume the least energy. On the other hand, JavaScript consumes almost twice as much as Java and four times what C consumes. As an interpreted language, Python needs more time to execute and is, therefore, one of the least “green” languages, occupying the position of those that consume the most energy.

What are the Greenest or Least Environmentally Friendly Programming Languages?
What are the Greenest or Least Environmentally Friendly Programming Languages?

Time:

The results are similar to the energy expenditure; the faster a programming language is, the less energy it expends.

Greenest Programming Languages

Memory

In terms of memory consumption, we see how Java has become one of the most memory-consuming languages along with JavaScript.

Memory ranking.

Ranking

In this ranking, we can see the “greenest” and most efficient languages are: C, C+, Rust, and Java, although this last one shoots the memory usage.

From the Paper: Normalized global results for Energy, Time, and Memory.

What are the Greenest or Least Environmentally Friendly Programming Languages?

To conclude: 

Most Environmentally Friendly Languages: C, Rust, and C++
Least Environmentally Friendly Languages: Ruby, Python, Perl

Although this study may seem curious and without much practical application, it may help design better and more efficient programming languages. Also, we can use this new parameter in our equation when choosing a programing language.

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This parameter can no longer be ignored in the future or almost the present; besides, the fastest languages are generally also the most environmentally friendly.

If you’re interested in something that is both green and energy efficient, you might want to consider the Groeningen Programming Language (GPL). Developed by a team of researchers at the University of Groningen in the Netherlands, GPL is a relatively new language that is based on the C and C++ programming languages. Python and Rust are also used in its development. GPL is designed to be used for developing energy efficient applications. Its syntax is similar to other popular programming languages, so it should be relatively easy for experienced programmers to learn. And since it’s open source, you can download and use it for free. So why not give GPL a try? It just might be the perfect language for your next project.

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Top 10 Caveats – Counter arguments:

#1 C++ will perform better than Python to solve some simple algorithmic problems. C++ is a fairly bare-bone language with a medium level of abstraction, while Python is a high-level languages that relies on many external components, some of which have actually been written in C++. And of course C++ will be efficient than C# to solve some basic problem. But let’s see what happens if you build a complete web application back-end in C++.

#2: This isn’t much useful. I can imagine that the fastest (performance-wise) programming languages are greenest, and vice versa. However, running time is not only the factor here. An engineer may spend 5 minutes writing a Python script that does the job pretty well, and spends hours on debugging C++ code that does the same thing. And the performance difference on the final code may not differ much!

#3:  Has anyone actually taken a look at the winning C and Rust solutions? Most of them are hand-written assembly code masked as SSE intrinsic. That is the kind of code that only a handful of people are able to maintain, not to mention come up with. On the other hand, the Python solutions are pure Python code without a trace of accelerated (read: written in Fortran, C, C++, and/or Rust) libraries like NumPy used in all sane Python projects.

#4:  I used C++ years ago and now use Python, for saving energy consumption, I turn off my laptop when I got off work, I don’t use extra monitors, my AC is always set to 28 Celsius degree, I plan to change my car to electrical one, and I use Python.

#5: I disagree. We should consider the energy saved by the products created in those languages. For example, a C# – based Microsoft Teams allows people to work remotely. How much CO2 do we save that way? 😉

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Now, try to do the same in C.

#6 Also, some Python programs, such as anything using NumPy, spend a considerable fraction of their cycles outside the Python interpreter in a C or C++ library..

I would love to see a scatterplot of execution time vs. energy usage as well. Given that modern CPUs can turbo and then go to a low-power state, a modest increase of energy usage during execution can pay dividends in letting the processor go to sleep quicker.

An application that vectorized heavily may end up having very high peak power and moderately higher energy usage that’s repaid by going to sleep much sooner. In the cell phone application processor business, we called that “race to sleep.” By Joe Zbiciak


#7  By Tim Mensch : It’s almost complete garbage.

If you look at the TypeScript numbers, they are more than 5x worse than JavaScript.

This has to mean they were running the TypeScript compiler every time they ran their benchmark. That’s not how TypeScript works. TypeScript should be identical to JavaScript. It is JavaScript once it’s running, after all.

Given that glaring mistake, the rest of their numbers are suspect.

I suspect Python and Ruby really are pretty bad given better written benchmarks I’ve seen, but given their testing issues, not as bad as they imply. Python at least has a “compile” phase as well, so if they were running a benchmark repeatedly, they were measuring the startup energy usage along with the actual energy usage, which may have swamped the benchmark itself.

PHP similarly has a compile step, but PHP may actually run that compile step every time a script is run. So of all of the benchmarks, it might be the closest.


I do wonder if they also compiled the C and C++ code as part of the benchmarks as well. C++ should be as optimized or more so than C, and as such should use the same or less power, unless you’re counting the compile phase. And if they’re also measuring the compile phase, then they are being intentionally deceptive. Or stupid. But I’ll go with deceptive to be polite. (You usually compile a program in C or C++ once and then you can run it millions or billions of times—or more. The energy cost of compiling is miniscule compared to the run time cost of almost any program.)

I’ve read that 80% of all studies are garbage. This is one of those garbage studies.

#8 By Chaim Solomon: This is nonsense

This is nonsense as it runs low-level benchmarks that benchmark basic algorithms in high-level languages. You don’t do that for anything more than theoretical work.

Do a comparison of real-world tasks and you should find less of a spread.

Do a comparison of web-server work or something like that – I guess you may find a factor of maybe 5 or 10 – if it’s done right.

Don’t do low-level algorithms in a high-level language for anything more than teaching. If you need such an algorithm – the way to do it is to implement it in a library as a native module. And then it’s compiled to machine code and runs as fast as any other implementation.

#9 By Tim Mensch

It’s worse than nonsense. TypeScript complies directly to JavaScript, but gets a crazy worse rating somehow?!

#10 By Tim Mensch

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For NumPy and machine learning applications, most of the calculations are going to be in C.

The world I’ve found myself in is server code, though. Servers that run 24/7/365.

And in that case, a server written in C or C++ will be able to saturate its network interface at a much lower continuous CPU load than a Python or Ruby server can. So in that respect, the latter languages’ performance issues really do make a difference in ongoing energy usage.

But as you point out, in mobile there could be an even greater difference due to the CPU being put to sleep or into a low power mode if it finishes its work more quickly.

 

Food For Thought – Top 100 Delicious Homemade Cuisine From All over the World

Vegi Skewer Canada

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Food For Thought – Top 100 Delicious Homemade Cuisine From All over the World

Who doesn’t remember their favourite food from home when they were growing up? That delicious taste stays with us forever. We can move all over the World, but the thought of our favourite home-cooked meals always make us happy.

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In this blog, We are going to post Pictures, Recipes, Videos, Stories about Home cooked Meals from all over the World.

1- Homemade Charcoal Barbecued Vegi Skewer Canada

Vegi Skewer Canada
Vegi Skewer Canada

2- Homemade Ginger glazed Vegi mix + Baked Salmon + Rice : Canada

Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World

3- Homemade Pumpkin Gnocchi with a spinach & mushroom cream sauce

Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World
[Homemade] Pumpkin Gnocchi with a spinach & mushroom cream sauce

4- Homemade Tomato Ricotta pasta with Pancetta from r/food

Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World
Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World

Recipe/ingredients: 400g quality pasta, 800g passata tomato, 150g Parmigiano Reggiano, 300g premium pancetta, 250g Ricotta cheese, 1/2 onion, fresh basil, black pepper, extra virgin olive oil. Step by Step cooking process here

5- Homemade Butter Garlic Squid Ink Pasta

Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World
Butter Garlic Squid Ink Pasta

Butter garlic squid ink pasta w/ caramelized onion and oven roasted carrot flowers.

Garnished with spinach, microgreens, a tortilla ghost, tortilla moon and stars, and hemp seed stars.


This dish is 100% edible, including the ghost and flowers.

The ghost is made from tortilla and is hand painted using Chefmaster’s natural plant-based food dye. Source: r/food

6- Mapple Pecan Croissant – Canada

Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World
Mapple Pecan Croissant – Canada

Get it at https://anaheim.parfaitparis.com/product/fall-leaf/450?cs=true&cst=custom

7- Pro/Chef “Raspbaby Yoda” Raspberry Pie

Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World
“Raspbaby Yoda” Raspberry Pie

8- Homemade Blackberry-Lemon Cheesecake

Food For Thought - Top 100 Delicious Homemade Cuisine From All over the World
Blackberry-Lemon Cheesecake

8- Homemade Homer Simpson Cake

[Homemade] Homer Simpson Cake

9- Homemade Crunchwrap Supreme

Homemade Crunchwrap Supreme
[Homemade] Crunchwrap Supreme

10- Homemade focaccia

Homemade Focaccia
[homemade] I made a focaccia

11- Homemade Chicken Tikka Masala with homemade Garlic Naan

Garlic Naan Homemade
Chicken Tikka Masala with homemade Garlic Naan

12- Soufflé Pancakes with Soft Serve Ice Cream

Soufflé Pancakes with Soft Serve Ice Cream
Soufflé Pancakes with Soft Serve Ice Cream

12- Homemade Tonkotsu Ramen with Chashu Pork

Homemade Tonkotsu Ramen with Chashu Pork
Tonkotsu Ramen with Chashu Pork

13- Homemade Steak Fajitas

Homemade Steak Fajitas
Homemade Steak Fajitas

14- Homemade English breakfast.

Homemade English breakfast

15- Homemade Fried Chicken Sandwich

Homemade Fried Chicken Sandwich

16- Homemade Pepperoni Pizza

Pepperoni Pizza

17- Homemade Chicken Parmigiana

Homemade Chicken Parmigiana

18- Homemade Brownies

[Homemade] Brownies

19- Homemade Bacon Cheeseburger

[Homemade] Bacon Cheeseburger

20- Homemade Butter chicken with garlic naan

[Homemade] Butter chicken with garlic naan

21- Homemade Spicy Miso Ramen with Duck

Homemade Spicy Miso Ramen with Duck

22- Homemade Indian chicken curry with naan and cilantro mint chutney

Homemade Indian chicken curry with naan and cilantro mint chutney

23- Homemade Fresh Tagliatelle, Butter Poached Lobster, Morel-Lobster Cream Sauce r/food - [Homemade] Fresh Tagliatelle, Butter Poached Lobster, Morel-Lobster Cream Sauce

24- Homemade Rainbow Fruit Tart r/food - [homemade] Rainbow Fruit Tart

25- Homemade Seared Ahi Tuna Steaks r/food - [homemade] Seared Ahi Tuna Steaks

26- Homemade Baklava r/food - [Homemade] Baklava

27- Homemade Ramen

r/food - [Homemade] Ramen

28- Homemade Stir fried udon Homemade Stir fried udon

29- Homemade Oven-roasted Turkey, Bacon, Pesto, Gouda & Muenster Grilled Cheese w/ Tomato Basil Soup

 Post image

30- Homemade Buffalo Hot Wings

r/food - [Homemade] Buffalo Hot Wings

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31- Garlic Knot Pizza

r/food - [I ate] Garlic Knot Pizza

32- Homemade  big BBQ Platter

r/food - [Homemade] A big BBQ Platter

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32- Homemade Nashville Hot Chicken Sandwich

[Homemade] Nashville Hot Chicken Sandwich
[Homemade] Nashville Hot Chicken Sandwich

33- Homemade Crispy potatoes with rosemary and garlic butter.

Homemade] Crispy potatoes with rosemary and garlic butter.
Crispy potatoes with rosemary and garlic butter.

34- Homemade Chicken Katsu Curry

[Homemade] Chicken Katsu Curry
Chicken Katsu Curry

35- Homemade Lemon and Garlic Pasta with Sea Scallops

r/food - [Homemade] Lemon and Garlic Pasta with Sea Scallops
Lemon and Garlic Pasta with Sea Scallops

36- Homemade Chicken Alfredo

r/food - [homemade] Chicken Alfredo

37- Homemade Spaghetti & Meatballs with Garlic Bread

 Post image

38 – Homemade Ratatouille

r/food - [Homemade] Ratatouille
Homemade Ratatouille

39- Homemade lamb shank with peas, mash and port gravy

[Homemade] lamb shank with peas, mash and port gravy
Homemade lamb shank with peas, mash and port gravy

40- Homemade Spaghetti and Meatballs

[homemade] Spaghetti and Meatballs
Homemade Spaghetti and Meatballs

Source: r/food

[Homemade] – Food you made. This includes food made from scratch, or food assembled from pre-made ingredients.

[Pro/Chef] – You work in a food-related industry and made it. Chefs, pastry chefs, bakers, butcher, sous chef, and food photographers all fit into this category.

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[I ate] – You went to a place and most likely exchanged money to eat this. This tag includes restaurants, food trucks, etc.

Pure Food and Wine:

Everyone knows that food is important. It’s one of the basic necessities of life, after all. But what exactly is “food”? It’s not just the stuff that you buy at the grocery store or order at a restaurant. It’s also the meals that you eat at home, and even the snacks that you enjoy between meals. In short, food is anything that you eat or drink to nourish your body.

But not all food is created equal. Some foods are better for you than others, and some are even downright bad for your health. That’s why it’s important to be choosy about what you eat. And one way to do that is to make sure that you’re eating pure food.

So what exactly is pure food? Simply put, it’s food that has been made without the use of any artificial additives or chemicals. This means that pure food is free from pesticides, herbicides, growth hormones, and other harmful substances. It’s also usually organic, meaning that it was grown without the use of synthetic fertilizers or genetic engineering. In short, pure food is the kind of food that nature intended for us to eat.


If you’re looking for pure food, your best bet is to stick with homemade meals made from fresh, whole ingredients. But if you don’t have time to cook at home, there are plenty of restaurants and eateries that serve pure, healthy cuisine. Just make sure to do your research so that you can be sure you’re getting the real deal. After all, your health is worth it!

8 major food allergens:

Everyone has different dietary needs and restrictions. Some people are vegetarian, some people are kosher, and some people have food allergies. While it is possible to accommodate all of these diets, it can be difficult to keep track of everything. That’s why it’s important to know the top 8 major food allergens. This way, you can be sure that everyone will be able to enjoy your homemade cuisine or go out to eat without worry.

The top 8 major food allergens are: milk, eggs, peanuts, tree nuts, fish, shellfish, soy, and wheat. If you or someone you know has a food allergy, it is important to avoid these ingredients. However, that doesn’t mean that you have to miss out on all the fun. There are plenty of delicious recipes that don’t use any of these ingredients. So whether you’re cooking for yourself or for a group, you can rest assured that everyone will be able to enjoy your meal.

These eight items are responsible for the vast majority of serious allergic reactions in the United States. If you have a severe allergy to one of these foods, it’s important to be careful when eating out or consuming homemade meals. Some restaurants are better than others at accommodating allergies, but it’s always best to err on the side of caution. By being aware of the top eight major food allergens, you can help keep yourself safe and healthy.

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Food Top Stories – Food Breaking News – Food For Thought


Breaking News – Top Stories

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Breaking News – Top Stories From all over the world. World News. Hourly Updated News Feed from Reddit, Twitter, Medium, Quora and top news agency and media around the world (CNN, Fox News, USA Today, MSNBC, ABC News, Al Jazeera, CBC, BBC, SkyNews, etc.).

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What are the Greenest or Least Environmentally Friendly Programming Languages?

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Data Sciences – Top 400 Open Datasets – Data Visualization – Data Analytics – Big Data – Data Lakes

What are some good datasets for Data Science and Machine Learning?

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Data Sciences – Top 400 Open Datasets – Data Visualization – Data Analytics – Big Data – Data Lakes

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

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A dataset is a collection of data, usually presented in tabular form. Good datasets for Data Science and Machine Learning are typically those that are well-structured (easy to read and understand) and large enough to provide enough data points to train a model. The best datasets are often those that are open and freely available – such as the popular Iris dataset. However, there are also many commercial datasets available for purchase. In general, good datasets for Data Science and Machine Learning should be:

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2023 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams
  • Well-structured
  • Large enough to provide enough data points
  • Open and freely available whenever possible

In this blog, we are going to provide popular open source and public data sets, data visualization, data analytics and data lakes.

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AWS Data Analytics Specialty Practice Exam 2023
AWS Data Analytics Specialty Practice Exams

Population Distribution of the World by Continent

Population Distribution of the World by Continent
Population Distribution of the World by Continent

 

Fertility rates all over the world are steadily declining

Yes, fertility rates have been declining globally in recent decades. There are several factors that contribute to this trend, including increased access to education and employment opportunities for women, improved access to family planning and birth control, and changes in societal attitudes towards having children. However, the rate of decline varies significantly by country and region, with some countries experiencing more dramatic declines than others.


 

The most Daily Wikipedia Page Views in 2022

How Americans Spend Their Money by Generation

How Americans Spend Their Money by Generation
How Americans Spend Their Money by Generation

 

AWS Data Analytics Specialty Practice Exam 2023
AWS Data Analytics Specialty Practice Exams

Largest countries in the world (by area size)

Largest countries in the world (by area size)
Largest countries in the world (by area size)

The Highest Grossing Movies Of All Time

The Highest Grossing Movies Of All Time

We are still living mostly on gas, oil & coal – Global primary energy consumption by source (TWh)

r/dataisbeautiful - [OC] We are still living mostly on gas, oil & coal - Global primary energy consumption by source (TWh)

Consumption vs production based CO2 emissions by country

Consumption vs production based CO2 emissions by country

Largest banks in the world by total assets

r/dataisbeautiful - [OC] Largest banks in the world by total assets

Inflation rate and nominal interest rate

Inflation rate and nominal interest rate
Inflation Rate 2022 – 2023 Inflation Reduction Act California Inflation Relief – Inflation Relief Checks

Police Killings per Capita v Homicide Rate per Capita for Select OECD Countries

r/dataisbeautiful - Police Killings per Capita v Homicide Rate per Capita for Select OECD Countries [OC]

Instagram Rich List 2022 – Which celebrity earns the most in the world in 2022?

If you are looking for an all-in-one solution to help you prepare for the AWS Cloud Practitioner Certification Exam, look no further than this AWS Cloud Practitioner CCP CLFC01 book below.


Top human-caused threats to birds in the US

 Top human-caused threats to birds in the US
 Top human-caused threats to birds in the US

Trailblazing Scientists who Shaped our World

Trailblazing Scientists who Shaped our World
Trailblazing Scientists who Shaped our World

Suicide rate among countries with the highest Human Development Index

Percentage of Obesity in 2022

The United States is not the country with the highest obesity rates.
Percentage of Obesity in 2022

Source: https://worldpopulationreview.com/country-rankings/obesity-rates-by-country

"Become a Canada Expert: Ace the Citizenship Test and Impress Everyone with Your Knowledge of Canadian History, Geography, Government, Culture, People, Languages, Travel, Wildlife, Hockey, Tourism, Sceneries, Arts, and Data Visualization. Get the Top 1000 Canada Quiz Now!"


Tools: Datawrapper

3 largest global payment networks – measured by total payment volume each year ($B)

3 largest global payment networks - measured by total payment volume each year ($B)

Stocks Vs Bonds 2022

Most expensive football transfers

Most expensive football transfers

11 developing countries with higher life expectancy than the United States

 
r/dataisbeautiful - [OC] 11 developing countries with higher life expectancy than the United States

Healthcare expenditure per capita vs life expectancy years

 
r/dataisbeautiful - [OC] Healthcare expenditure per capita vs life expectancy years

1.2% of adults own 47.8% of world’s wealth

r/dataisbeautiful - [OC] 1.2% of adults own 47.8% of world's wealth

Invest in your future today by enrolling in this Azure Fundamentals - Pass the Azure Fundamentals Exam with Ease: Master the AZ-900 Certification with the Comprehensive Exam Preparation Guide!

Microsoft Azure AZ900 Certification and Training

How to Mathematically Win at Rock  Paper  Scissors

r/dataisbeautiful - [OC] How to Mathematically Win at Rock, Paper, Scissors

Researchers from IBM, MIT and Harvard Announced The Release Of DARPA “Common Sense AI” Dataset Along With Two Machine Learning Models At ICML 2021

Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely find patterns in data; it also needs a way of interpreting the intentions and beliefs behind people’s choices.

At the 2021 International Conference on Machine Learning (ICML), Researchers from IBM, MIT, and Harvard University have come together to release a DARPA “Common Sense AI” dataset for benchmarking AI intuition. They are also releasing two machine learning models that represent different approaches to the problem that relies on testing techniques psychologists use to study infants’ behavior to accelerate the development of AI exhibiting common sense. 

Source – Summary – Paper – IBM Blog

Largest healthcare services companies in the world

r/dataisbeautiful - [OC] Largest healthcare services companies in the world


Performance Of FAANG Stocks In 2022 (Apple, Amazon, Google, Meta, Netflix)

100 million protein structures Dataset by DeepMind

DeepMind creates ‘transformative’ map of human proteins drawn by AI. By the end of the year, DeepMind hopes to release predictions for 100 million protein structures, a dataset that will be “transformative for our understanding of how life works,

Here’s a good article about this topic

Google Dataset Search

Google Dataset Search

Malware traffic dataset

Comprises 1914081 records created from all malware traffic analysis .net PCAP files, from 2013 to 2021. The logs are generated using Suricata and Zeek.

Originator: ali_alwashali


2019 Crime statistics in the USA

Dataset with arrest in US by race and separate states. Download Excel here

Researchers from IBM, MIT and Harvard Announced The Release Of DARPA “Common Sense AI” Dataset Along With Two Machine Learning Models At ICML 2021

Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely find patterns in data; it also needs a way of interpreting the intentions and beliefs behind people’s choices.

At the 2021 International Conference on Machine Learning (ICML), Researchers from IBM, MIT, and Harvard University have come together to release a DARPA “Common Sense AI” dataset for benchmarking AI intuition. They are also releasing two machine learning models that represent different approaches to the problem that relies on testing techniques psychologists use to study infants’ behavior to accelerate the development of AI exhibiting common sense. 

Source – Summary – Paper – IBM Blog

100 million protein structures Dataset by DeepMind

DeepMind creates ‘transformative’ map of human proteins drawn by AI. By the end of the year, DeepMind hopes to release predictions for 100 million protein structures, a dataset that will be “transformative for our understanding of how life works,

Here’s a good article about this topic

Unlock the Secrets of Africa: Master African History, Geography, Culture, People, Cuisine, Economics, Languages, Music, Wildlife, Football, Politics, Animals, Tourism, Science and Environment with the Top 1000 Africa Quiz and Trivia. Get Yours Now!

Google Dataset Search

Google Dataset Search

Malware traffic dataset

Comprises 1914081 records created from all malware traffic analysis .net PCAP files, from 2013 to 2021. The logs are generated using Suricata and Zeek.

Originator: ali_alwashali

 CPOST dataset on suicide attacks over four decades

The University of Chicago Project on Security and Threats presents the updated and expanded Database on Suicide Attacks (DSAT), which now links to Uppsala Conflict Data Program data on armed conflicts and includes a new dataset measuring the alliance and rivalry relationships among militant groups with connections to suicide attack groups. Access it here.

Credit Card Dataset – Survey of Consumer Finances (SCF) Combined Extract Data 1989-2019

 You can do a lot of aggregated analysis in a pretty straightforward way there.

Drone imagery with annotations for small object detection and tracking dataset

11 TB dataset of drone imagery with annotations for small object detection and tracking

Download and more information are available here

Dataset License: CDLA-Sharing-1.0

Helper scripts for accessing the dataset: DATASET.md

Dataset Exploration: Colab

NOAA High-Resolution Rapid Refresh (HRRR) Model

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.

When will computers replace humans?

r/dataisbeautiful - [OC] When will computers replace humans?

This chart is essentially measuring “How good is a human at a computers’ area of strength”.. meanwhile computers simply can not compete in human areas of strength.

The most popular car brands on Reddit

The most popular car brands on Reddit
The most popular car brands on Reddit

Fruit Efficient-C Analysis

Fruit Efficient-C Analysis
Fruit Efficient-C Analysis

Registry of Open Data on AWS

This registry exists to help people discover and share datasets that are available via AWS resources. Learn more about sharing data on AWS.

See all usage examples for datasets listed in this registry.

See datasets from Digital Earth AfricaFacebook Data for GoodNASA Space Act AgreementNIH STRIDESNOAA Big Data ProgramSpace Telescope Science Institute, and Amazon Sustainability Data Initiative.

Textbook Question Answering (TQA)

1,076 textbook lessons, 26,260 questions, 6229 images

Documentation: allenai.org/data/tqa

Download

Harmonized Cancer Datasets: Genomic Data Commons Data Portal

The GDC Data Portal is a robust data-driven platform that allows cancer
researchers and bioinformaticians to search and download cancer data for analysis.

Genomic Data Commons Data Portal
Genomic Data Commons Data Portal

The Cancer Genome Atlas

The Cancer Genome Atlas (TCGA), a collaboration between the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI), aims to generate comprehensive, multi-dimensional maps of the key genomic changes in major types and subtypes of cancer.

AWS CLI Access (No AWS account required)

aws s3 ls s3://tcga-2-open/ --no-sign-request

Therapeutically Applicable Research to Generate Effective Treatments (TARGET)

The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) program applies a comprehensive genomic approach to determine molecular changes that drive childhood cancers. The goal of the program is to use data to guide the development of effective, less toxic therapies. TARGET is organized into a collaborative network of disease-specific project teams.  TARGET projects provide comprehensive molecular characterization to determine the genetic changes that drive the initiation and progression of childhood cancers. The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification data from Genomic Data Commons (GDC), and open data from GDC Legacy Archive. Access it here.

Genome Aggregation Database (gnomAD)

The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators that aggregates and harmonizes both exome and genome data from a wide range of large-scale human sequencing projects. The summary data provided here are released for the benefit of the wider scientific community without restriction on use. Downloads

SQuAD (Stanford Question Answering Dataset)

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. Access it here.

PubMed Diabetes Dataset

The Pubmed Diabetes dataset consists of 19717 scientific publications from PubMed database pertaining to diabetes classified into one of three classes. The citation network consists of 44338 links. Each publication in the dataset is described by a TF/IDF weighted word vector from a dictionary which consists of 500 unique words. The README file in the dataset provides more details.

Download Link

Drug-Target Interaction Dataset

This dataset contains interactions between drugs and targets collected from DrugBank, KEGG Drug, DCDB, and Matador. It was originally collected by Perlman et al. It contains 315 drugs, 250 targets, 1,306 drug-target interactions, 5 types of drug-drug similarities, and 3 types of target-target similarities. Drug-drug similarities include Chemical-based, Ligand-based, Expression-based, Side-effect-based, and Annotation-based similarities. Target-target similarities include Sequence-based, Protein-protein interaction network-based, and Gene Ontology-based similarities. The original task on the dataset is to predict new interactions between drugs and targets based on different types of similarities in the network. Download link

Pharmacogenomics Datasets

PharmGKB data and knowledge is available as downloads. It is often critical to check with their curators at feedback@pharmgkb.org before embarking on a large project using these data, to be sure that the files and data they make available are being interpreted correctly. PharmGKB generally does NOT need to be a co-author on such analyses; They just want to make sure that there is a correct understanding of our data before lots of resources are spent.

Pancreatic Cancer Organoid Profiling

The dataset contains open RNA-Seq Gene Expression Quantification data and controlled WGS/WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutation, and RNA-Seq Splice Junction Quantification. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://gdc-organoid-pancreatic-phs001611-2-open/ --no-sign-request

Africa Soil Information Service (AfSIS) Soil Chemistry

This dataset contains soil infrared spectral data and paired soil property reference measurements for georeferenced soil samples that were collected through the Africa Soil Information Service (AfSIS) project, which lasted from 2009 through 2018. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://afsis/ --no-sign-request

Dataset for Affective States in E-Environments

DAiSEE is the first multi-label video classification dataset comprising of 9068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement, and frustration “in the wild”. The dataset has four levels of labels namely – very low, low, high, and very high for each of the affective states, which are crowd annotated and correlated with a gold standard annotation created using a team of expert psychologists. Download it here.

NatureServe Explorer Dataset

NatureServe Explorer provides conservation status, taxonomy, distribution, and life history information for more than 95,000 plants and animals in the United States and Canada, and more than 10,000 vegetation communities and ecological systems in the Western Hemisphere.

The data available through NatureServe Explorer represents data managed in the NatureServe Central Databases. These databases are dynamic, being continually enhanced and refined through the input of hundreds of natural heritage program scientists and other collaborators. NatureServe Explorer is updated from these central databases to reflect information from new field surveys, the latest taxonomic treatments and other scientific publications, and new conservation status assessments. Explore Data here

Flight Records in the US

Airline On-Time Performance and Causes of Flight Delays – On_Time Data.

This database contains scheduled and actual departure and arrival times, reason of delay. reported by certified U.S. air carriers that account for at least one percent of domestic scheduled passenger revenues. The data is collected by the Office of Airline Information, Bureau of Transportation Statistics (BTS).

FlightAware.com has data but you need to pay for a full dataset.

The anyflights package supplies a set of functions to generate air travel data (and data packages!) similar to nycflights13. With a user-defined year and airport, the anyflights function will grab data on:

  • flights: all flights that departed a given airport in a given year and month
  • weather: hourly meterological data for a given airport in a given year and month
  • airports: airport names, FAA codes, and locations
  • airlines: translation between two letter carrier (airline) codes and names
  • planes: construction information about each plane found in flights

Airline On-Time Statistics and Delay Causes

The U.S. Department of Transportation’s (DOT) Bureau of Transportation Statistics (BTS) tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled and diverted flights appears in DOT’s monthly Air Travel Consumer Report, published about 30 days after the month’s end, as well as in summary tables posted on this website. BTS began collecting details on the causes of flight delays in June 2003. Summary statistics and raw data are made available to the public at the time the Air Travel Consumer Report is released. Access it here

Worldwide flight data

Open flights: As of January 2017, the OpenFlights Airports Database contains over 10,000 airports, train stations and ferry terminals spanning the globe

Download: airports.dat (Airports only, high quality)

Download: airports-extended.dat (Airports, train stations and ferry terminals, including user contributions)

Bureau of Transportation:

Flightera.net seems to have a lot of good data for free. It has in-depth data on flights and doesn’t seem limited by date. I can’t speak on the validity of the data though.

flightradar24.com has lots of data, also historically, they might be willing to help you get it in a nice format.

2019 Crime statistics in the USA

Dataset with arrest in US by race and separate states. Download Excel here

Stack Exchange
Infographic: Where People Are Most Willing to Donate Blood  | Statista You will find more infographics at Statista

Researchers from IBM, MIT and Harvard Announced The Release Of DARPA “Common Sense AI” Dataset Along With Two Machine Learning Models At ICML 2021

Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely find patterns in data; it also needs a way of interpreting the intentions and beliefs behind people’s choices.

At the 2021 International Conference on Machine Learning (ICML), Researchers from IBM, MIT, and Harvard University have come together to release a DARPA “Common Sense AI” dataset for benchmarking AI intuition. They are also releasing two machine learning models that represent different approaches to the problem that relies on testing techniques psychologists use to study infants’ behavior to accelerate the development of AI exhibiting common sense. 

Source – Summary – Paper – IBM Blog

100 million protein structures Dataset by DeepMind

DeepMind creates ‘transformative’ map of human proteins drawn by AI. By the end of the year, DeepMind hopes to release predictions for 100 million protein structures, a dataset that will be “transformative for our understanding of how life works,

Here’s a good article about this topic

Google Dataset Search

Google Dataset Search

Malware traffic dataset

Comprises 1914081 records created from all malware traffic analysis .net PCAP files, from 2013 to 2021. The logs are generated using Suricata and Zeek.

Originator: ali_alwashali

Author: Here

 CPOST dataset on suicide attacks over four decades

The University of Chicago Project on Security and Threats presents the updated and expanded Database on Suicide Attacks (DSAT), which now links to Uppsala Conflict Data Program data on armed conflicts and includes a new dataset measuring the alliance and rivalry relationships among militant groups with connections to suicide attack groups. Access it here.

Credit Card Dataset – Survey of Consumer Finances (SCF) Combined Extract Data 1989-2019

 You can do a lot of aggregated analysis in a pretty straightforward way there.

Drone imagery with annotations for small object detection and tracking dataset

11 TB dataset of drone imagery with annotations for small object detection and tracking

Download and more information are available here

Dataset License: CDLA-Sharing-1.0

Helper scripts for accessing the dataset: DATASET.md

Dataset Exploration: Colab

NOAA High-Resolution Rapid Refresh (HRRR) Model

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.

Registry of Open Data on AWS

This registry exists to help people discover and share datasets that are available via AWS resources. Learn more about sharing data on AWS.

See all usage examples for datasets listed in this registry.

See datasets from Digital Earth AfricaFacebook Data for GoodNASA Space Act AgreementNIH STRIDESNOAA Big Data ProgramSpace Telescope Science Institute, and Amazon Sustainability Data Initiative.

Textbook Question Answering (TQA)

1,076 textbook lessons, 26,260 questions, 6229 images

Documentation: allenai.org/data/tqa

Download

Harmonized Cancer Datasets: Genomic Data Commons Data Portal

The GDC Data Portal is a robust data-driven platform that allows cancer
researchers and bioinformaticians to search and download cancer data for analysis.

Genomic Data Commons Data Portal
Genomic Data Commons Data Portal

The Cancer Genome Atlas

The Cancer Genome Atlas (TCGA), a collaboration between the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI), aims to generate comprehensive, multi-dimensional maps of the key genomic changes in major types and subtypes of cancer.

AWS CLI Access (No AWS account required)

aws s3 ls s3://tcga-2-open/ --no-sign-request

Therapeutically Applicable Research to Generate Effective Treatments (TARGET)

The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) program applies a comprehensive genomic approach to determine molecular changes that drive childhood cancers. The goal of the program is to use data to guide the development of effective, less toxic therapies. TARGET is organized into a collaborative network of disease-specific project teams.  TARGET projects provide comprehensive molecular characterization to determine the genetic changes that drive the initiation and progression of childhood cancers. The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification data from Genomic Data Commons (GDC), and open data from GDC Legacy Archive. Access it here.

Genome Aggregation Database (gnomAD)

The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators that aggregates and harmonizes both exome and genome data from a wide range of large-scale human sequencing projects. The summary data provided here are released for the benefit of the wider scientific community without restriction on use. Downloads

SQuAD (Stanford Question Answering Dataset)

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. Access it here.

PubMed Diabetes Dataset

The Pubmed Diabetes dataset consists of 19717 scientific publications from PubMed database pertaining to diabetes classified into one of three classes. The citation network consists of 44338 links. Each publication in the dataset is described by a TF/IDF weighted word vector from a dictionary which consists of 500 unique words. The README file in the dataset provides more details.

Download Link

Drug-Target Interaction Dataset

This dataset contains interactions between drugs and targets collected from DrugBank, KEGG Drug, DCDB, and Matador. It was originally collected by Perlman et al. It contains 315 drugs, 250 targets, 1,306 drug-target interactions, 5 types of drug-drug similarities, and 3 types of target-target similarities. Drug-drug similarities include Chemical-based, Ligand-based, Expression-based, Side-effect-based, and Annotation-based similarities. Target-target similarities include Sequence-based, Protein-protein interaction network-based, and Gene Ontology-based similarities. The original task on the dataset is to predict new interactions between drugs and targets based on different types of similarities in the network. Download link

Pharmacogenomics Datasets

PharmGKB data and knowledge is available as downloads. It is often critical to check with their curators at feedback@pharmgkb.org before embarking on a large project using these data, to be sure that the files and data they make available are being interpreted correctly. PharmGKB generally does NOT need to be a co-author on such analyses; They just want to make sure that there is a correct understanding of our data before lots of resources are spent.

Pancreatic Cancer Organoid Profiling

The dataset contains open RNA-Seq Gene Expression Quantification data and controlled WGS/WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutation, and RNA-Seq Splice Junction Quantification. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://gdc-organoid-pancreatic-phs001611-2-open/ --no-sign-request

Africa Soil Information Service (AfSIS) Soil Chemistry

This dataset contains soil infrared spectral data and paired soil property reference measurements for georeferenced soil samples that were collected through the Africa Soil Information Service (AfSIS) project, which lasted from 2009 through 2018. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://afsis/ --no-sign-request

Dataset for Affective States in E-Environments

DAiSEE is the first multi-label video classification dataset comprising of 9068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement, and frustration “in the wild”. The dataset has four levels of labels namely – very low, low, high, and very high for each of the affective states, which are crowd annotated and correlated with a gold standard annotation created using a team of expert psychologists. Download it here.

NatureServe Explorer Dataset

NatureServe Explorer provides conservation status, taxonomy, distribution, and life history information for more than 95,000 plants and animals in the United States and Canada, and more than 10,000 vegetation communities and ecological systems in the Western Hemisphere.

The data available through NatureServe Explorer represents data managed in the NatureServe Central Databases. These databases are dynamic, being continually enhanced and refined through the input of hundreds of natural heritage program scientists and other collaborators. NatureServe Explorer is updated from these central databases to reflect information from new field surveys, the latest taxonomic treatments and other scientific publications, and new conservation status assessments. Explore Data here

Flight Records in the US

Airline On-Time Performance and Causes of Flight Delays – On_Time Data.

This database contains scheduled and actual departure and arrival times, reason of delay. reported by certified U.S. air carriers that account for at least one percent of domestic scheduled passenger revenues. The data is collected by the Office of Airline Information, Bureau of Transportation Statistics (BTS).

FlightAware.com has data but you need to pay for a full dataset.

The anyflights package supplies a set of functions to generate air travel data (and data packages!) similar to nycflights13. With a user-defined year and airport, the anyflights function will grab data on:

  • flights: all flights that departed a given airport in a given year and month
  • weather: hourly meterological data for a given airport in a given year and month
  • airports: airport names, FAA codes, and locations
  • airlines: translation between two letter carrier (airline) codes and names
  • planes: construction information about each plane found in flights

Airline On-Time Statistics and Delay Causes

The U.S. Department of Transportation’s (DOT) Bureau of Transportation Statistics (BTS) tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled and diverted flights appears in DOT’s monthly Air Travel Consumer Report, published about 30 days after the month’s end, as well as in summary tables posted on this website. BTS began collecting details on the causes of flight delays in June 2003. Summary statistics and raw data are made available to the public at the time the Air Travel Consumer Report is released. Access it here

Worldwide flight data

Open flights: As of January 2017, the OpenFlights Airports Database contains over 10,000 airports, train stations and ferry terminals spanning the globe

Download: airports.dat (Airports only, high quality)

Download: airports-extended.dat (Airports, train stations and ferry terminals, including user contributions)

Bureau of Transportation:

Flightera.net seems to have a lot of good data for free. It has in-depth data on flights and doesn’t seem limited by date. I can’t speak on the validity of the data though.

flightradar24.com has lots of data, also historically, they might be willing to help you get it in a nice format.

2019 Crime statistics in the USA

Dataset with arrest in US by race and separate states. Download Excel here

The largest repository of standardized and structured statistical data

statisticaldatasets.data-planet.com/

Chess datasets

3.5 Million Chess Games

ML Dataset to practice methods of regression

Center for Machine Learning and Intelligent Systems

585 Data Sets

 

ManyTypes4Py: A benchmark Python Dataset for Machine Learning-Based Type Inference

  • The dataset is gathered on Sep. 17th 2020 from GitHub.
  • It has more than 5.2K Python repositories and 4.2M type annotations.
  • Use it to train  ML-based type inference model for Python
  • Access it here

Quadrature magnetoresistance in overdoped cuprates

Measurements of the normal (i.e. non-superconducting) state magnetoresistance (change in resistance with magnetic field) in several single crystalline samples of copper-oxide high-temperature superconductors. The measurements were performed predominantly at the High Field Magnet Laboratory (HFML) in Nijmegen, the Netherlands, and the Pulsed Magnetic Field Facility (LNCMI-T) in Toulouse, France. Complete Zip Download

The UMA-SAR Dataset: Multimodal data collection from a ground vehicle during outdoor disaster response training exercises

Collection of multimodal raw data captured from a manned all-terrain vehicle in the course of two realistic outdoor search and rescue (SAR) exercises for actual emergency responders conducted in Málaga (Spain) in 2018 and 2019: the UMA-SAR dataset. Full Dataset.

Child Mortality from Malaria

Child mortality numbers caused by malaria by country

Number of deaths of infants, neonatal, and children up to 4 years old caused by malaria by country from 2000 to 2015. Originator: World Health Organization

Child-Mortality-Numbers-by-Malaria-2015

Quora Question Pairs at Data.world

The dataset  will give anyone the opportunity to train and test models of semantic equivalence, based on actual Quora data. 400,000 lines of potential question duplicate pairs. Each line contains IDs for each question in the pair, the full text for each question, and a binary value that indicates whether the line truly contains a duplicate pair. Access it here.

MIMIC Critical Care Database

MIMIC is an openly available dataset developed by the MIT Lab for Computational Physiology, comprising deidentified health data associated with ~60,000 intensive care unit admissions. It includes demographics, vital signs, laboratory tests, medications, and more. Access it here.

Data.Gov: The home of the U.S. Government’s open data

Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more. Search over 280000 Datasets.

Tidy Tuesday Dataset

TidyTuesday is built around open datasets that are found in the “wild” or submitted as Issues on our GitHub.

US Census Bureau: QuickFacts Dataset

QuickFacts provides statistics for all states and counties, and for cities and towns with a population of 5,000 or more.

Classical Abstract Art Dataset

Art that does not attempt to represent an accurate depiction of a visual reality but instead use shapes, colours, forms and gestural marks to achieve its effect

5000+ classical abstract art here, real artists with annotation. You can download them in very high resolution,  however you would have to crawl them first  with this scraper.

Interactive map of indigenous people around the world

Native-Land.ca is a website run by the nonprofit organization Native Land Digital. Access it here.

Data Visualization: A Wordcloud for each of the Six Largest Religions and their Religious Texts (Judaism, Christianity, and Islam; Hinduism, Buddhism, and Sikhism)

Highest altitude humans have been each year since 1961

Worldwide prevalence of drug use

Data Sciences - Top 400 Open Datasets - Data Visualization - Data Analytics - Big Data - Data Lakes

From the author:

I took the data from IHME’s Global Burden of Disease 2019 study (2019 all-ages prevalence of drug use disorders among both men and women for all countries and territories) and plotted it using R.

Also, what is going on in the US exactly? 3.3% of the population there is addicted and it’s the worst rate in the world.

World Population and Energy Consumption: History and Projections

Data Sciences - Top 400 Open Datasets - Data Visualization - Data Analytics - Big Data - Data Lakes

From the author:

I am working on a presentation and I found a similar graph but couldn’t source it, so I found the data and remade this:

Data:

Population 2010-2019: US Census Bureau via Alexa

Population 2020-2050: World Population Prospects – Population Division – United Nations

File POP/1-1: Total population (both sexes combined) by region, subregion and country, annually for 1950-2100 (thousands)Medium fertility variant, 2020 – 2100

World Energy Consumption: Annual Energy Outlook 2021

Number of Operational Nuclear Reactors by Region over Time

Data from Power Reactor Information System maintained by IAEA.

Countries with reactors in each region:

ASIA-E: China, Japan, South Korea, Taiwan

ASIA-S: India, Pakistan, Bangladesh (under construction)

EUROPE-E & ASIA-CTRL: Armenia, Bulgaria, Belarus, Czechia, Hungary, Kazakhstan, Lithuania, Romania, Russia, Slovenia, Slovakia, Ukraine, Turkey (under construction)

EUROPE-N, S & W: Belgium, Switzerland, Germany, Spain, Finland, France, UK, Italy, Netherlands, Sweden

LATIN AMERICA: Argentina, Brazil, Mexico

MIDDLE EAST: UAE, Iran

SUB-SAHARAN AFRICA: South Africa

USA & CANADA: Canada, USA (obviously)

Made with MATLAB

Edit: If it wasn’t clear, these are nuclear power stations only

source: r/dataisbeautiful

data.ohio.gov/wps/

National Household Travel Survey (US)

Conducted by the Federal Highway Administration (FHWA), the NHTS is the authoritative source on the travel behavior of the American public. It is the only source of national data that allows one to analyze trends in personal and household travel. It includes daily non-commercial travel by all modes, including characteristics of the people traveling, their household, and their vehicles. Access it here.

National Travel Survey (UK)

Statistics and data about the National Travel Survey, based on a household survey to monitor trends in personal travel.

The survey collects information on how, why, when and where people travel as well as factors affecting travel (e.g. car availability and driving license holding).

National Travel Survey data tables UK
National Travel Survey data tables UK

National Travel Survey (NTS)[Canada]

Monthly Railway Carloadings: Interactive Dashboard
Monthly Railway Carloadings: Interactive Dashboard

ENTUR: NeTEx or GTFS datasets [Norway]

NeTEx is the official format for public transport data in Norway and is the most complete in terms of available data. GTFS is a downstream format with only a limited subset of the total data, but we generate datasets for it anyway since GTFS can be easier to use and has a wider distribution among international public transport solutions. GTFS sets come in “extended” and “basic” versions. Access here.

The Swedish National Forest Inventory

A subset of the field data collected on temporary NFI plots can be downloaded in Excel format from this web site. The file includes a Read_me sheet and a sheet with field data from temporary plots on forest land1 collected from 2007 to 2019. Note that plots located on boundaries (for example boundaries between forest stands, or different land use classes) are not included in the dataset. The dataset is primarily intended to be used as reference data and validation data in remote sensing applications. It cannot be used to derive estimates of totals or mean values for a geographic area of any size. Download the dataset here

Large data sets from finance and economics applicable in related fields studying the human condition

World Bank Data: Countries Data | Topics Data | Indicators Data | Catalog

US Federal Statistics

Boards of Governors of the Federal Reserve: Data Download Program

CIA: The world Factbook provides basic intelligence on the history, people, government, economy, energy, geography, environment, communications, transportation, military, terrorism, and transnational issues for 266 world entities.

Human Development Report: United Nations Development Programme – Public Data Explorer

Consumer Price Index: The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available.

Gapminder.org: Unveiling the beauty of statistics for a fact based world view Watch everyday life in hundreds of homes on all income levels across the world, to counteract the media’s skewed selection of images of other places.

Our world in Data: International Trade

Research and data to make progress against the world’s largest problems: 3139 charts across 297 topics, All free: open access and open source.

International Historical Statistics (by Brian Mitchell)

 
International Historical Statistics is a compendium of national and international socio-economic data from 1750 to 2010. Data are available in both Excel and PDF tabular formats. IHS is structured in three broad geographical divisions and ten themes: Africa / Asia / Oceania; The Americas and Europe. The database is structured in ten categories: Population and vital statistics; Labour force; Agriculture; Industry; External trade; Transport and communications; Finance; Commodity prices; Education and National accounts. Access here

World Input-Output Database

World Input-Output Tables and underlying data. World Input-Output Tables and underlying data, covering 43 countries, and a model for the rest of the world for the period 2000-2014. Data for 56 sectors are classified according to the International Standard Industrial Classification revision 4 (ISIC Rev. 4).

  • Data: Real and PPP-adjusted GDP in US millions of dollars, national accounts (household consumption, investment, government consumption, exports and imports), exchange rates and population figures.
  • Geographical coverage: Countries around the world
  • Time span: from 1950-2011 (version 8.1)
  • Available at: Online

Correlates of War Bilateral Trade

COW seeks to facilitate the collection, dissemination, and use of accurate and reliable quantitative data in international relations. Key principles of the project include a commitment to standard scientific principles of replication, data reliability, documentation, review, and the transparency of data collection procedures

  • Data: Total national trade and bilateral trade flows between states. Total imports and exports of each country in current US millions of dollars and bilateral flows in current US millions of dollars
  • Geographical coverage: Single countries around the world
  • Time span: from 1870-2009
  • Available at: Online here
  • This data set is hosted by Katherine Barbieri, University of South Carolina, and Omar Keshk, Ohio State University.

World Bank Open Data – World Development Indicators

Free and open access to global development data. Access it here.

World Trade Organization – WTO

The WTO provides quantitative information in relation to economic and trade policy issues. Its data-bases and publications provide access to data on trade flows, tariffs, non-tariff measures (NTMs) and trade in value added.

  • Data: Many series on tariffs and trade flows
  • Geographical coverage: Countries around the world
  • Time span: Since 1948 for some series
  • Available at: Online here
WTO - World Trade Organization
WTO – World Trade Organization

SMOKA Science Archive

The Subaru-Mitaka-Okayama-Kiso Archive, holds about 15 TB of astronomical data from facilities run by the National Astronomical Observatory of Japan. All data becomes publicly available after an embargo period of 12-24 months (to give the original observers time to publish their papers).

Graph Datasets

Multi-Domain Sentiment Dataset

The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from many product types (domains). Some domains (books and dvds) have hundreds of thousands of reviews. Others (musical instruments) have only a few hundred. Reviews contain star ratings (1 to 5 stars) that can be converted into binary labels if needed. Access it here.

A Global Database of Society

Supported by Google Jigsaw, the GDELT Project monitors the world’s broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world.

The Yahoo News Feed: Ratings and Classification Data

Dataset is 1.5 TB compressed, 13.5 TB uncompressed

Yahoo! Music User Ratings of Musical Artists, version 1.0 (423 MB)

This dataset represents a snapshot of the Yahoo! Music community’s preferences for various musical artists. The dataset contains over ten million ratings of musical artists given by Yahoo! Music users over the course of a one month period sometime prior to March 2004. Users are represented as meaningless anonymous numbers so that no identifying information is revealed. The dataset may be used by researchers to validate recommender systems or collaborative filtering algorithms. The dataset may serve as a testbed for matrix and graph algorithms including PCA and clustering algorithms. The size of this dataset is 423 MB.
 

Yahoo! Movies User Ratings and Descriptive Content Information, v.1.0 (23 MB)

This dataset contains a small sample of the Yahoo! Movies community’s preferences for various movies, rated on a scale from A+ to F. Users are represented as meaningless anonymous numbers so that no identifying information is revealed. The dataset also contains a large amount of descriptive information about many movies released prior to November 2003, including cast, crew, synopsis, genre, average ratings, awards, etc. The dataset may be used by researchers to validate recommender systems or collaborative filtering algorithms, including hybrid content and collaborative filtering algorithms. The dataset may serve as a testbed for relational learning and data mining algorithms as well as matrix and graph algorithms including PCA and clustering algorithms. The size of this dataset is 23 MB.
 

Yahoo News Video dataset, version 1.0 (645MB)

The dataset is a collection of 964 hours (22K videos) of news broadcast videos that appeared on Yahoo news website’s properties, e.g., World News, US News, Sports, Finance, and a mobile application during August 2017. The videos were either part of an article or displayed standalone in a news property. Many of the videos served in this platform lack important metadata, such as an exhaustive list of topics associated with the video. We label each of the videos in the dataset using a collection of 336 tags based on a news taxonomy designed by in-house editors. In the taxonomy, the closer the tag is to the root, the more generic (topically) it is.
etc…

Other Datasets

More than 1 TB

  • The 1000 Genomes project makes 260 TB of human genome data available
  • The Internet Archive is making an 80 TB web crawl available for research 
  • The TREC conference made the ClueWeb09 [3] dataset available a few years back. You’ll have to sign an agreement and pay a nontrivial fee (up to $610) to cover the sneakernet data transfer. The data is about 5 TB compressed.
  • ClueWeb12  is now available, as are the Freebase annotations, FACC1 
  • CNetS at Indiana University makes a 2.5 TB click dataset available 
  • ICWSM made a large corpus of blog posts available for their 2011 conference. You’ll have to register (an actual form, not an online form), but it’s free. It’s about 2.1 TB compressed. The dataset consists of over 386 million blog posts, news articles, classifieds, forum posts and social media content between January 13th and February 14th. It spans events such as the Tunisian revolution and the Egyptian protests (see http://en.wikipedia.org/wiki/January_2011 for a more detailed list of events spanning the dataset’s time period). Access it here
  • The Yahoo News Feed dataset is 1.5 TB compressed, 13.5 TB uncompressed
  • The Proteome Commons makes several large datasets available. The largest, the Personal Genome Project , is 1.1 TB in size. There are several others over 100 GB in size.

More than 1 GB

  • The Reference Energy Disaggregation Data Set  has data on home energy use; it’s about 500 GB compressed.
  • The Tiny Images dataset  has 227 GB of image data and 57 GB of metadata.
  • The ImageNet dataset  is pretty big.
  • The MOBIO dataset  is about 135 GB of video and audio data
  • The Yahoo! Webscope program makes several 1 GB+ datasets available to academic researchers, including an 83 GB data set of Flickr image features and the dataset used for the 2020 KDD Cup , from Yahoo! Music, which is a bit over 1 GB.
  • Freebase makes regular data dumps available. The largest is their Quad dump , which is about 3.6 GB compressed.
  • Wikipedia made a dataset containing information about edits available for a recent Kaggle competition [6]. The training dataset is about 2.0 GB uncompressed.
  • The Research and Innovative Technology Administration (RITA) has made available a dataset about the on-time performance of domestic flights operated by large carriers. The ASA compressed this dataset and makes it available for download.
  • The wiki-links data made available by Google is about 1.75 GB total.
  • Google Research released a large 24GB n-gram data set back in 2006 based on processing 10^12 words of text and published counts of all sequences up to 5 words in length.

Power and Energy Consumption Open Datasets

These data are intended to be used by researchers and other professionals working in power and energy related areas and requiring data for design, development, test, and validation purposes. These data should not be used for commercial purposes.

The Million Playlist Dataset (Spotify)

A dataset and open-ended challenge for music recommendation research ( RecSys Challenge 2018). Sampled from the over 4 billion public playlists on Spotify, this dataset of 1 million playlists consist of over 2 million unique tracks by nearly 300,000 artists, and represents the largest public dataset of music playlists in the world. Access it here

How much each of 20 most popular artists earns from Spotify.

How much each of 20 most popular artists earns from Spotify.
How much each of 20 most popular artists earns from Spotify.

Regression Analysis Cheat Sheet

Hotel Reviews Dataset from Yelp

20k+ Hotel Reviews from Yelp for 5 Star Hotels in Las Vegas.

This dataset can be used for the following applications and more:

Analyzing trends,  Sentiment Analysis / Opinion Mining, Sentiment Analysis / Opinion Mining, Competitor Analysis. Access it here.

A truncated version with 500 reviews is also available on Kaggle here

Motorcycle Crash data

1- Texas: Perform specific queries and analysis using Texas traffic crash data.

2- BTS: Motorcycle Rider Safety Data

3- National Transportation Safety Board: US Transportation Fatalities in 2019

4- Fatal single vehicle motorcycle crashes

5- Motorcycle crash causes and outcomes : pilot study

6- Motorcycle Crash Causation Study: Final Report

Download a collection of news articles relating to natural disasters over an eight-month period. Access it here.

World Population Data by Country and Age Group

1- WorldoMeter: Countries in the world by population (2021)

2- Worldometer: Current World Population Live

Top 10 richest billionaires from 1987-2021

Top 10 Richest People in the world

Source: Here

World’s Top 80 Wealthiest People by Country of Origin as of November 2021

Source: Here

From the author:

Needless to say, the United States absolutely dominates this list more than any other country. 9 of the top 10 are Americans, you’d have to combine the next 5 countries after the US to match their output of 33 among the top 80, and you’d have to combined every other country not named China on this graph to equal the USA.

To break things down based on region:

– The Americas has 34 individuals on this list with USA (33) and Mexico (1)

– Asia-Pacific has 28 individuals on this list with China (14), India (5), Hong Kong (4), Japan (3), and Australia (2)

– Europe has 18 individuals on this list with France (5), Russia (5), Germany (3), Italy (2), UK (1), Ireland (1), and Spain (1)

How Americans Spend Money on Halloween

How Americans Spend Money on Halloween

Source: here

How the Duration of an Average World Series Baseball Game Has Changed Over 118 Years

r/dataisbeautiful - [OC] How the Duration of an Average World Series Baseball Game Has Changed Over 118 Years

Source: Here

Investment-Related Dataset with both Qualitative and Quantitative Variables

1- Numer.ai:  Anonymized and feature normalized financial data which is interesting for machine learning applications. Download here

2- Snowflake Data Marketplace: Snowflake Data Marketplace gives data scientists, business intelligence and analytics professionals, and everyone who desires data-driven decision-making, access to more than 375 live and ready-to-query data sets from more than 125 third-party data providers and data service providers

3- Quandl: The premier source for financial, economic and alternative datasets, serving investment professionals.

National Obesity Monitor

The National Health and Nutrition Examination Survey (NHANES) is conducted every two years by the National Center for Health Statistics and funded by the Centers for Disease Control and Prevention. The survey measures obesity rates among people ages 2 and older. Find the latest national data and trends over time, including by age group, sex, and race. Data are available through 2017-2018, with the exception of obesity rates for children by race, which are available through 2015-2016. Access here

State of Childhood Obesity
State of Childhood Obesity

The World’s Nations by Fertility Rate 2021

The world nation 's fertility rates
The world’s nations fertility rates

Total number of deaths due to Covid19 vis-à-vis Population in million

Total number of deaths due to Covid19 vis-à-vis Population in million
Total number of deaths due to Covid19 vis-à-vis Population in million

 Unlike its successor (COVID), SARS only heavily impacted 5 countries.

r/dataisbeautiful - [OC] Unlike its successor (COVID), SARS only heavily impacted 5 countries.

USA Cigarettes Sold v. Lung Cancer Death Rates

r/dataisbeautiful - USA Cigarettes Sold v. Lung Cancer Death Rates [OC]

Google searches for different emotions during each hour of the day and night

Google searches for different emotions during each hour of the day and night
Google searches for different emotions during each hour of the day and night

Where do the world’s CO2 emissions come from? This map shows emissions during 2019. Darker areas indicate areas with higher emissions

Where do the world's CO2 emissions come from? This map shows emissions during 2019. Darker areas indicate areas with higher emissions
Where do the world’s CO2 emissions come from? This map shows emissions during 2019. Darker areas indicate areas with higher emissions

Global Linguistic Diversity

Global Linguistic Diversity
Global Linguistic Diversity

Where in the world are the densest forests? Darker areas represent higher density of trees.

Where in the world are the densest forests? Darker areas represent higher density of trees.
Where in the world are the densest forests? Darker areas represent higher density of trees.

Likes and Dislikes per movie genre

Like and Dislike per movie genre
Like and Dislike per movie genre

Global Historical Climatology Network-Monthly (GHCN-M) temperature dataset

NCEI first developed the Global Historical Climatology Network-Monthly (GHCN-M) temperature dataset in the early 1990s. Subsequent iterations include version 2 in 1997, version 3 in May 2011, and version 4 in October 2018.

Are there any places where the climate is recently getting colder?
Are there any places where the climate is recently getting colder?

Electric power consumption (kWh per capita)

The World’s Most Eco-Friendly Countries

Alternate Source from Wikipedia : List of countries by carbon dioxide emissions per capita

List of countries by carbon dioxide emissions per capita
List of countries by carbon dioxide emissions per capita
Worldwide CO2 Emission
Worldwide CO2 Emission

Alcohol-Impaired Driving Deaths by State & County [US]

Alcohol Impaired Driving by State
Alcohol Impaired Driving by State

Alcohol Impaired driving by counties
Alcohol Impaired driving by county

% change in life expectancy from 2020 to 2021 across the globe

% change in life expectancy from 2020 to 2021 across the globe
% change in life expectancy from 2020 to 2021 across the globe

This is how life expectancy is calculated.

How Many Years Till the World’s Reserves Run Out of Oil?

How Many Years Till the World's Reserves Run Out of Oil?
How Many Years Till the World’s Reserves Run Out of Oil?

Data Source Here: Note that these values can change with time based on the discovery of new reserves, and changes in annual production.

Which energy source has the least disadvantages?

How many People Did Nuclear Energy Kill?

Here’s a paper on the wind fatalities

ipcc.ch/site/assets/

Human development index (HDI) by world subdivisions

Human development index (HDI) by world subdivisions
Human development index (HDI) by world subdivisions

The Human Development Index (HDI) is a statistic composite index of life expectancy, education (mean years of schooling completed and expected years of schooling upon entering the education system), and per capita income indicators, which are used to rank countries into four tiers of human development.

Data sourcesubnational human development index website 

US Streaming Services Market Share, 2020 vs 2021

US Streaming Services Market Share, 2020 vs 2021
US Streaming Services Market Share, 2020 vs 2021

Number of tweets deleted by month

Number of tweets deleted by month in 2020
Number of tweets deleted by month in 2020

Tweet Deleter

Average Career Length by Sports Profession

Source: r/dataisbeautiful

From the author:

Got these numbers from here

Numbers like these are a quick reminder that not every athlete is LeBron James or Roger Federer who can play their sport at such high levels for their entire young adulthood while becoming billionaires in the process. Many careers are short lived and end abruptly while the athlete is still very young and some don’t really have a plan B.

NFL being at the bottom here doesn’t surprise me though as most positions (with the exception of QB and kicker) in US Football is lowkey bodily suicide.

Football/Soccer Leagues with the fairest distributions of money have seen the most growth in long-term global interest.

Football Leagues with the fairest distributions of money have seen the most growth in long-term global interest.
Football Leagues with the fairest distributions of money have seen the most growth in long-term global interest.

How Much Does Your Favorite Fast Food Brand Spend on Ads?

Sources:

mcdonald-s-advertising-spending-worldwide/

ad-spend-subway-usa/

dominos-pizza-advertising-spending-usa/

ad-spend-wednys-usa/

ad-spend-burger-king-usa/

advertising-expense-chick-fil-a/

starbucks-advertising-spending-in-the-us

Historical population count of Western Europe

Results from survey on how to best reduce your personal carbon footprint

Results from survey on how to best reduce your personal carbon footprint
Results from survey on how to best reduce your personal carbon footprint

Data from IpsosMori

Where does the world’s non-renewable energy come from? 

r/dataisbeautiful - Where does the world's non-renewable energy come from? Zoom in to see a point for each power plant! [OC]

The data comes from the Global Power Plant Database. The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. The database covers approximately 30,000 power plants from 164 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar). Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. It will be continuously updated as data becomes available.

Recorded Music Industry Revenues from 1997 to 2020

Source: riaa.com/

US Trade Surpluses and Deficits by Country (2020)

https://www.reddit.com/r/dataisbeautiful/comments/n446a3/oc_us_trade_surpluses_and_deficits_by_country_2020/?utm_source=share&utm_medium=web2x&context=3

Facebook Monthly Active Users

Facebook data is based on the end of year from 2004 to 2020

Facebook monthly active users

Source: SeeMetrics.com

Heat map of the past 50,000 earthquakes pulled from USGS sorted by magnitude

Source:  USGS website

Where do the world’s methane (CH4)emissions come from?

Darker areas indicate areas with higher emissions.

Source: Data comes from EDGARv5.0 website and Crippa et al. (2019)

Earth Surface Albedo (1950 to 2020)

Data Source: ECMWF ERA5

Wealth of Forbes’ Top 100 Billionaires vs All Households in Africa

https://www.reddit.com/r/dataisbeautiful/comments/n1su36/oc_animated_wealth_of_forbes_top_100_billionaires/?utm_source=share&utm_medium=web2x&context=3
Sources:
Forbes’ 35th Annual World’s Billionaires List
Credit Suisse Global Wealth Report 2020
United Nations World Population Prospects

Forbes Billionaires list

United nations world population prospects

Credit Suisse Global Wealth Report 2020

20 years of Apple sales in a minute

https://www.reddit.com/r/dataisbeautiful/comments/n17ctc/oc_20_years_of_apple_sales_in_a_minute/?utm_source=share&utm_medium=web2x&context=3
Source: Apple’s quarterly and annual financial filings with the SEC over the last 20 years

Source: Wikipedia

Racial Diversity of Each State (Based on US Census 2019 Estimates)

r/dataisbeautiful - [OC] Racial Diversity of Each State (Based on US Census 2019 Estimates)

Computation:

Suppose your state is 60% orc, 30% undead, and 10% tauren. You chance in a random selection of two being of the same race is as follows:

  • 36% chance ((60%)2) of two orcs

  • 9% chance ((30%)2) of two undead

  • 1% chance ((10%)2) of two tauren

For a total of 46%. The diversity index would be 100% minus that, or 54%.

Race and Ethnicity in the US

A curated, daily feed of newly published datasets in machine learning

Machine Learning: CIFAR-10 Dataset

A curated, daily feed of newly published datasets in machine learning

The CIFAR-10 dataset consists of 60000 32×32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.

Machine Learning: ImageNet

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection. The publicly released dataset contains a set of manually annotated training images.

Machine Learning: The MNIST Database of Handwritten Digits

The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.

It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. Access it here.

The Massively Multilingual Image Dataset (MMID)

MMID is a large-scale, massively multilingual dataset of images paired with the words they represent collected at the University of Pennsylvania. The dataset is doubly parallel: for each language, words are stored parallel to images that represent the word, and parallel to the word’s translation into English (and corresponding images.) . Dcumentation.

AWS CLI Access (No AWS account required)

aws s3 ls s3://mmid-pds/ --no-sign-request

AWS Azure Google Cloud Cloud Certification Exam Prep App
AWS Azure Google Cloud Cloud Certification Exam Prep App: AWS CCP Cloud Practitioner CLF-C01, AWS Solution Architect Associate SAA-C02, AWS Developer Associate DEV-C01, AWS DAS-C01, Azure Fundamentals AZ900, Azure Administrator AZ104, Google Associate Cloud Engineer, AWS Specialty Data Analytics DAS-C01, AWS and Google Professional Machine Learning Specialty MLS-C01

Capitol insurrection arrests per million people by state

How have cryptocurrencies done during the Pandemic?

Data Source: Downloaded performance data on these cryptocurrencies from Investing.com which provides free historic data

Share of US Wealth by Generation

r/dataisbeautiful - Share of US Wealth by Generation [OC]

Source: US Federal Reserve

Top 100 Cryptocurrencies by Market Cap

Top 100 Cryptocurrencies by Market Cap

Data Source from coinmarketcap.com/

 Crypto race: DOGE vs BTC, last 365 days

Data sources: Coindesk BTC, Coindesk Dodge

 Yearly Performance of TOP 100 cryptocurrencies
Yearly Performance of TOP 100 cryptocurrencies

12,000 years of human population dynamics

Countries with a higher Human Development Index (HDI) than the European Union (EU)

HDI is calculated by the UN every year to measure a country’s development using average life expectancy, education level, and gross national income per capita (PPP). The EU has a collective HDI of 0.911.

Data Source: Here

Countries with a higher Human Development Index (HDI) than the United States (US)

Data source: Human Development Report 2020

Child marriage by country, by gender

Data on the percentage of children married before reaching adulthood (18 years).

Data source The State of the World’s Children 2019

 

Wars with greater than 25,000 deaths by year

Data Source : Wikipedia

Population Projection for China and India till 2050

Data Source: Here

Relative cumulative and per capita CO2 emissions 1751-2017

 

Relative cumulative and per capita CO2 emissions 1751-2017
Relative cumulative and per capita CO2 emissions 1751-2017

Dat Source: ourworldindata.org

Formula 1 Cumulative Wins by Team (1950-2021)

Data Source : f1-fansite.com/f1-results/

Countries with the most nuclear warheads. A couple of days ago I posted this with a logarithmic scale.

Data source: Wikipedia

Using machine learning methods to group NFL quarterbacks into archetypes

Using machine learning methods to group NFL quarterbacks into archetypes
Using machine learning methods to group NFL quarterbacks into archetypes

Data Source:

Data collected from a  series of rushing and passing statistics for NFL Quarterbacks from 2015-2020 and performed a machine learning algorithm called clustering, which automatically sorts observations into groups based on shared common characteristics using a mathematical “distance metric.”

The idea was to use machine learning to determine NFL Quarterback Archetype to agnostically determine which quarterbacks were truly “mobile” quarterbacks, and which were “pocket passers” that relied more on passing. I used a number of metrics in my actual clustering analysis, but they can be effectively summarized across two dimensions: passing and rushing, which can be further roughly summarized across two metrics: passer rating and rushing yards per year. Plotting the quarterbacks along these dimensions and plotting the groups chosen by the clustering methodology shows how cleanly the methodology selected the groups.

Read this blog article on the process for more information if you’re interested, or just check out this blog in general if you found this interesting!

Data: Collected from the ESPN API

2M rows of 1-min S&P bars (12 years of stock data) – 2008-2021

Intraday Stock Data (1 min) – S&P 500 – 2008-21: 12 years of 1 minute bars for data science / machine learning.

Granular stock bar data for research is difficult to find and expensive to buy. The author has compiled this library from a variety of sources and is making it available for free.

One compressed CSV file with 9 columns and 2.07 million rows worth of 1 minute SPY bars.  Access it here

A global database of COVID-19 vaccinations

Cumulative number of COVID-19 doses administered by country.
Cumulative number of COVID-19 doses administered by country.
COVID-19 vaccine doses administered per 100 people versus gross domestic product per capita.
COVID-19 vaccine doses administered per 100 people versus gross domestic product per capita.
Timeline of innovation in the development of vaccines.
Timeline of innovation in the development of vaccines.

Datasets: A live version of the vaccination dataset and documentation are available in a public GitHub repository here. These data can be downloaded in CSV and JSON formats. PDF.

 A list of available datasets for machine learning in manufacturing

Industrial ML Datasets: curated list of datasets, publicly available for machine learning researches in the area of manufacturing.

Predictive Maintenance and Condition Monitoring

Name Year Feature Type Feature Count Target Variable Instances Official Train/Test Split Data Source Format
Diesel Engine Faults Features 2020 Signal 84 C (4) 3.500   Synthetic MAT Link

Process Monitoring

Name Year Feature Type Feature Count Target Variable Instances Official Train/Test Split Data Source Format  
High Storage System Anomaly Detection 2018 Signal 20 C (2) 91.000   Synthetic CSV Link

Predictive Quality and Quality Inspection

Name Year Feature Type Feature Count Target Variable Instances Official Train/Test Split Data Source Format  
Casting Product Quality Inspection 2020 Image 300×300
512×512
C (2) 7.348 ✔️ Real JPG Link

Process Parameter Optimization

Name Year Feature Type Feature Count Instances Official Train/Test Split Data Source Format  
Laser Welding 2020 Signal 13 361   Real XLS Link

Data Analytics Certification Questions and Answers Dumps

Datasets needed for Crop Disease Identification using image processing

Here is a collection of datasets with images of leaves

and more generic image datasets that include plant leaves

http://visualgenome.org/

http://image-net.org/

Plant Phenotyping

One hundreds plant species datasets

cvonline 

A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology

Survival Analysis datasets for machines

Download it here

English alphabet organized by each letter’s note in ABC

English alphabet organised by each letter's note in ABC
English alphabet organized by each letter’s note in ABC

Discover datasets hosted in thousands of repositories across the Web using datasetsearch.research.google.com

#dataset #search   @Google

Create, maintain, and contribute to a long-living dataset that will update itself automatically across projects.

Datasets should behave like git repositories.

Image

Datasets should behave like git repositories
Datasets should behave like git repositories

Learn how to create, maintain, and contribute to a long-living dataset that will update itself automatically across projects, using git and DVC as versioning systems, and DAGsHub as a host for the datasets. 

Human Rights Measurement Initiative Datasets

Image

World Wide Energy Production by Source 1860 – 2019

[OC] World Wide Energy Production by Source 1860 – 2019 from dataisbeautiful

Data source: ourworldindata.org/energy

 Project Sunroof – Solar Electricity Generation Potential by Census Tract/Postal Code

 Courtesy of Google’s Project Sunroof: This dataset essentially describes the rooftop solar potential for different regions, based on Google’s analysis of Google Maps data to find rooftops where solar would work, and aggregate those into region-wide statistics.

It comes in a couple of aggregation flavors – by census tract , where the region name is the census tract id, and by postal code , where the name is the postal code. Each also contains latitude/longitude bounding boxes and averages, so that you can download based on that, and you should be able to do custom larger aggregations using those, if you’d like.

Carbon emission arithmetic + hard v. soft science

carbon emission arithmetic + hard v. soft science [oc] from dataisbeautiful

Data sources: Video From data-driven documentary The Fallen of World War II. Here and Here

Most popular Youtuber in every country 2021

What Does 1GB of Mobile Data Cost in Every Country?

What Does 1GB of Mobile Data Cost in Every Country?

Key Concepts of Data Science

A large dataset aimed at teaching AI to code, it consists of some 14M code samples and about 500M lines of code in more than 55 different programming languages, from modern ones like C++, Java, Python, and Go to legacy languages like COBOL, Pascal, and FORTRAN.

GitHub repo:

Download page

NSRDB: National Solar Radiation Database

 Download instructions are here

Cheat Sheet for Machine Learning, Data Science.

No photo description available.
Cheat Sheet for Machine Learning and Data Science

Emigrants from the UK by Destination

 

r/dataisbeautiful - [OC] Emigrants from the UK by Destination

Data source: Originally at the location marked on the Sankey Flow but is now here

 

Direct link to the spreadsheet used

US Rivers and Streams Dataset

Data source: hub.arcgis.com/

Data visualization

r/dataisbeautiful - [OC] US Rivers and Streams

Bubble Chart that compares the GDP of the G20 Countries

https://www.reddit.com/r/dataisbeautiful/comments/ndsjrz/oc_bubble_chart_that_compares_the_gdp_of_the_g20/?utm_source=share&utm_medium=web2x&context=3

Data source: databank.worldbank.org

Desktop OS Market Share 2003 – 2021

[OC] Desktop OS Market Share 2003 – 2021 from dataisbeautiful

Data source: w3school

National Parks of North America

r/dataisbeautiful - [OC] National Parks of North America

Data Source: DataBayou

 NPS.gov, Open.canada.ca, and sig.conanp.gob.mx 

 

Inflation of Bitcoin and DogeCoin vs. Federal Reserve target

r/dataisbeautiful - [OC] Inflation of Bitcoin and DogeCoin vs. Federal Reserve target

Data source:

Percentage of women who experienced physical or sexual violence since the age of 15 in the EU

r/dataisbeautiful - Percentage of women who experienced physical or sexual violence since the age of 15 in the EU

Data Source from The Guardian: 

The whole report –  Questionnaire

Canadian Interprovincial Migration

Canadian Interprovincial Migration
Canadian Interprovincial Migration

Some context  here

Data  scraped from StatsCan

 

Covid-19 Vaccination Doses Administered per 100 in the G20

Data source: ourworldindata.org covid-vaccinations

What does per 100 mean?

When the whole country is double vaccinated, the value will be 200 doses per 100 population. At the moment the UK is like 85, which is because ~70% of the population has had at least one dose and ~15% of the population (which is a subset of that 70%) have had two. Hence ~30% are currently unprotected – myself included until Sunday.

Import/Export of Conventional Arms by Different Countries over past 2 decades

DataSource: SIPRI Arms Transfer Database

Aggregated disease comparison dataset – Ensemble de données agrégées de comparaison des maladies

Data Source: Here and Here

According to the author of the source data: “For the 1918 Spanish Flu, the data was collected by knowing that the total counts were 500M cases and 50M deaths, and then taking a fraction of that per day based on the area of this graph image:” – the graph is used is here:

Visualización y conjunto de datos de comparación de enfermedades agregadas

Trending Google Searches by State Between 2018 and 2020 – Tendances des recherches Google par État

Data source: trends.google.com Trending topics from 2010 to 2019 were taken from Google’s annual Year in Search summary 2010-2029

The full, ~11 minute video covering the whole 2010s decade is available here at youtu.be/xm91jBeN4oo

Google Trends provides weekly relative search interest for every search term, along with the interest by state. Using these two datasets for each term, we’re able to calculate the relative search interest for every state for a particular week. Linear interpolation was used to calculate the daily search interest.

 

Market capitalization in billion dollars of Top 20 Cryptocurrencies in 2021-05-20 – crypto-monnaies

Data source: CoinMarket from end of 2013 until present

Capitalisation boursière en milliards de dollars des 20 principales crypto-monnaies en 2021-05-20

 

Top Chess Players From 2000-2020, Meilleurs joueurs d’échecs,  Лучшие шахматисты с 2000 по 2020 год

Data source: ratings.fide.com/

The y-axis is the world elo ratings (called FIDE ratings).

Comparing Emissions Sources – How to Shrink your Carbon Footprint More Effectively

r/dataisbeautiful - [OC] Comparing Emissions Sources - How to Shrink your Carbon Footprint More Effectively

 Data sources: Here

Source article: Here

Oil and gas-fired power plants in the world –

La dependencia de los combustibles fósiles – La dépendance aux énergies fossiles – 

r/dataisbeautiful - [OC] Oil and gas-fired power plants in the world

Data is from the Global Power Plant Database (World Resources Institute)

See map’s description here

Plantas de electricidad que funcionan con gas y petróleo

Top 100 Reddit posts of all time

r/dataisbeautiful - [OC] I recently made a graph showing the Top 100 Reddit posts of all time. Some people said I should make a pie chart too, so here it is!

Source: r/all on Reddit

Tool used: meta-chart.com

Fastest routes on land (and sometimes, boat) between all 990 pairs of European capitals

Las rutas más rápidas en tierra (y, a veces, en barco) entre los 990 pares de capitales europeas

Les itinéraires les plus rapides sur terre (et parfois en bateau) entre les 990 paires de capitales européennes

Source: Reddit

From the author: I started with data on roads from naturalearth.com, which also includes some ferry lines. I then calculated the fastest routes (assuming a speed of 90 km/h on roads, and 35 km/h on boat) between each pair of 45 European capitals. The animation visualizes these routes, with brighter lines for roads that are more frequently “traveled”.

In reality these are of course not the most traveled roads, since people don’t go from all capitals to all other capitals in equal measure. But I thought it would be fun to visualize all the possible connections.

The model is also very simple, and does not take into account varying speed limits, road conditions, congestion, border checks and so on. It is just for fun!

In order to keep the file size manageable, the animation only shows every tenth frame.

Is Russia, Turkey or country X really part of Europe? That of course depends on the definition, but it was more fun to include them than to exclude them! The Vatican is however not included since it would just be the same as the Rome routes. And, unfortunately, Nicosia on Cyprus is not included to due an error on my behalf. It should be!

Link to final still image in high resolution on my twitter

 

Pokemon Dataset

  1. Dataset of all 825 Pokemon (this includes Alolan Forms). It would be preferable if there are at least 100 images of each individual Pokemon.

pokedex: This is a Python library slash pile of data containing a whole lot of data scraped from Pokémon games. It’s the primary guts of veekun.

pokeapi.co/about

2) This dataset comprises of more than 800 pokemons belonging up to 8 generations.

Using this dataset have been fun for me. I used it to create a mosaic of pokemons taking image as reference. You can find it here and it’s free to use: Couple Mosaic (powered by Pokemons)

Here is the data type information in the file:

  • Name: Pokemon Name
  • Type: Type of Pokemon like Grass / Fire / Water etc..,.
  • HP: Hit Points
  • Attack: Attack Points
  • Defense: Defence Points
  • Sp. Atk: Special Attack Points
  • Sp. Def: Special Defence Points
  • Speed: Speed Points
  • Total: Total Points
  • url: Pokemon web-page
  • icon: Pokemon Image

Data File: Pokemon-Data.csv

30×30 m Worldwide High-Resolution Population and Demographics Data

ETL pipeline for Facebook’s research project to provide detailed large-scale demographics data. It’s broken down in roughly 30×30 m grid cells and provides info on groups by age and gender.

Population Density Overview

Data Source and API for access

Article about Dataset at Medium

Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015

Rasterized GDP dataset – basically a heat map of global economic activity.

Gap-filled multiannual datasets in gridded form for Gross Domestic Product (GDP) and Human Development Index (HDI)

Data source here:

Decrease in worldwide infant mortality from 1950 to 2020

Post image

Data Sources: United Nations, CIA World Factbook, IndexMundi.

Data Collectors

Data Unblockers

Countries of the world sorted by those that have warmed the most in the last 10 years, showing temperatures from 1890 to 2020 

r/dataisbeautiful - Countries of the world sorted by those that have warmed the most in the last 10 years, showing temperatures from 1890 to 2020 [OC]

Data source: Gistemp temperature data

The GISS Surface Temperature Analysis ver. 4 (GISTEMP v4) is an estimate of global surface temperature change. Graphs and tables are updated around the middle of every month using current data files from NOAA GHCN v4 (meteorological stations) and ERSST v5 (ocean areas), combined as described in our publications Hansen et al. (2010) and Lenssen et al. (2019).

Climate change concern vs personal spend to reduce climate change

r/dataisbeautiful - [OC] Climate change concern vs personal spend to reduce climate change

Data Source: Competitive Enterprise Institute (PDF)

 Less than 20 firms produce over a third of all carbon emissions

The Illusion of Choice in Consumer Brands

The Illusion of Choice in Consumer Brands

Buying a chocolate bar? There are seemingly hundreds to choose from, but its just the illusion of choice. They pretty much all come from Mars, Nestlé, or Mondelēz (which owns Cadbury).

Source: Visual Capitalist

Yearly Software Sales on PlayStation Consoles since 1994

r/dataisbeautiful - [OC] Yearly Software Sales on PlayStation Consoles since 1994

Some context for these numbers :

  • PS4 holds the record for being the console to have sold the most games in video game history (> 1.622B units)
    • Previous record holder was PS2 at 1.537B games sold
  • PS4 holds the record for having sold the most games in a single year (> 300M units in FY20)
  • FY20 marks the biggest yearly software sales in PlayStation ecosystem with more than 338M units
  • Since PS5 release, Sony starts combining PS4/PS5 software sales
  • In FY12, Sony combined PS2/PS3 and PSP/VITA software sales
  • Sony stopped disclosing software sales in FY13/14

Yearly Hardware Sales of PlayStation Consoles since 1994

r/dataisbeautiful - [OC] Yearly Hardware Sales of PlayStation Consoles since 1994

Sony combined PS2/PS3 hardware sales in FY12 and combined PSP/VITA sales in FY12/13/14

Cybertruck vs F150 Lightning pre-orders, by time since debut

r/dataisbeautiful - [OC] Cybertruck vs F150 Lightning pre-orders, by time since debut

Source: Ford exec tweeting about preorder numbers this week

Top 100 Most Populous City Proper in the world

r/dataisbeautiful - (Fixed once again) Top 100 Most Populous City Proper in the world. [OC]

The City with 32 million is Chongqing, Shan is Shanghai, Beijin is Beijing, and Guangzho is Guangzhou

 

Tax data for different countries

Dataset is here

What do Europeans feel most attached to – their region, their country, or Europe?

r/dataisbeautiful - [OC] What do Europeans feel most attached to - their region, their country, or Europe?

Data source: Builds on data from the 2021 European Quality of Government Index. You can read more about the survey and download the data here

Cost of 1gb mobile data in every country

r/dataisbeautiful - Cost of 1gb mobile data in every country

r/dataisbeautiful - Cost of 1gb mobile data in every country

Dataset: Visual Capitalist

Frequency of all digrams in 18 languages, diacritics included 

r/dataisbeautiful - Langues germaniques

Dataset (according to author): Dictionaries are scattered on the internet and had to be borrowed from several sources: the Scrabble3d project, and Linux spellcheck dictionaries. The data can be found in the folder “Avec_diacritiques”.

Criteria for choosing a dictionary:
– No proper nouns
– “Official” source if available
– Inclusion of inflected forms
– Among two lists, the largest was fancied
– No or very rare abbreviations if possible- but hard to detect in unknown languages and across hundreds of thousands of words.

Mapped: The World’s Nuclear Reactor Landscape

r/dataisbeautiful - Mapped: The World’s Nuclear Reactor Landscape

Dataset: Visual Capitalist

Database of 999 chemicals based on liver-specific carcinogenicity

The author found this dataset in a more accessible format upon searching for the keyword “CDPB” (Carcinogenic Potency Database) in the National Library of Medicine Catalog. Check out this parent website for the data source and dataset description. The dataset referenced in OP’s post concerns liver specific carcinogens, which are marked by the “liv” keyword as described in the dataset description’s Tissue Codes section.

SMS Spam Collection Data Set

DownloadData FolderData Set Description

The SMS Spam Collection is a public set of SMS labeled messages that have been collected for mobile phone spam research

Open Datasets for Autonomous Driving

A2D2 DatasetApolloScape Dataset Argoverse Dataset Berkeley DeepDrive Dataset

CityScapes DatasetComma2k19 DatasetGoogle-Landmarks Dataset

KITTI Vision Benchmark SuiteLeddarTech PixSet Dataset Level 5 Open DatanuScenes Dataset

Oxford Radar RobotCar DatasetPandaSet Udacity Self Driving Car Dataset Waymo Open Dataset

Open Dataset people are looking for [Help if you can]

  1. Looking for Dataset on the outcomes of abstinence-only sex education.
  2. Funny Datasets for School Data Science Project [1, 2, 3, 4, 5]
  3. Need a dataset for English practicing chatbot. [1, 2 ]
  4. Creating a dataset for plant disease recognition [1, 2 ]
  5. Central Bank Speeches Dataset (Text data from 1997 to 2020 from 118 institutions) [1, 2]
  6. Cat Meow Classification dataset [1, 2]
  7. Looking for Raw Data: Camping / Outdoors Travel in United States trends, etc [1, 2 ]
  8. Looking for Data set of horse race results / lottery results any results related to gambling [1, 2, 3]
  9. Looking for Football (Soccer) Penalties Dataset [1, 2]
  10. Looking for public datasets on baseball [1, 2, 3]
  11. Looking for Datasets on edge computing for AI bandwidth usage, latency, memory, CPU/GPU resource usage? [1 ,2 ]
  12. Data set of people who died by suicide [1, 2 ]
  13. Supreme Court dataset with opinion text? [1, 2, 3, 4, https://storage.googleapis.com/scotus-db/scotus-db.db5]
  14. Dataset of employee attrition or turnover rate? [1, 2]
  15. Is there a Dataset for homophobic tweets? [1 ,2, 3, 4, ]
  16. Looking for a Machine condition Monitoring Dataset [1,2]
  17. Where to find data for credit risk analysis? [1, 2]
  18. Datasets on homicides anywhere in the world [1, 2]
  19. Looking for a dataset containing coronavirus self-test (if this is a thing globally) pictures for ML use
  20. Is there any transportation dataset with daily frequency? [1, 2]
  21. A Dataset of film Locations [1, 2 ]
  22. Looking for a classification dataset [1, 2, 3, 4, 5]
  23. Where can I search for macroeconomics data? [1, 2, 3, 4, 5, 6, 7]
  24. Looking for Beam alignment 5G vehicular networks dataset
  25. Looking for tidy dataset for multivariate analysis (PCA, FA, canonical correlations, clustering)
  26. Indian all types of Fuel location datasets [1, 2,]
  27. Spotify Playlists Dataset [1, 2]
  28. World News Headline Dataset. With Sentiment Scores. Free download in JSON format. Updated often. [1, 2]
  29. Are there any free open source recipe datasets for commercial use [1, 2, 3, 4, 5]
  30. Curated social network datasets with summary statistics and background info
  31. Looking for textile crop disease datasets such as jute, flax, hemp
  32. Shopify App Store and Chrome Webstore Datasets
  33. Looking for dataset for university chatbot
  34. Collecting real life (dirty/ugly) datasets for data analysis
  35. In Need of Food Additive/Ingredient Definition Database
  36. Recent smart phone sensor Dataset – Android
  37. Cracked Mobile Screen Image Dataset for Detection
  38. Looking for Chiller fault data in a chiller plant
  39. Looking for dataset that contains the genetic sequences of native plasmids?
  40. Looking for a dataset containing fetus size measurements at various gestational ages.
  41. Looking for datasets about mental health since 2021
  42. Do you know where to find a dataset with Graphical User Interfaces defects of web applications? [1, 2, 3 ]
  43. Looking for most popular accounts on social medias like Twitter, Tik Tok, instagram, [1, 2, 3]
  44. GPS dataset of grocery stores
  45. What is the easiest way to bulk download all of the data from this epidemiology website? (~20,000 files)
  46. Looking for Dataset on Percentage of death by US state and Canadian province grouped by cause of death?
  47. Looking for Social engineering attack dataset in social media
  48. Steam Store Games (Clean dataset) by Nik Davis
  49. Dataset that lists all US major hospitals by county
  50. Another Data that list all US major hospitals by county
  51. Looking for open source data relating privacy behavior or related marketing sets about the trustworthiness of responders?
  52. Looking for a dataset that tracks median household income by country and year
  53. Dataset on the number of specific surgical procedures performed in the US (yearly)
  54. Looking for a dataset from reddit or twitter on top posts or tweets related to crypto currency
  55. Looking for Image and flora Dataset of All Known Plants, Trees and Shrubs
  56. US total fertility rates data one the state level
  57. Dataset of Net Worth of *World* Politicians
  58. Looking for water wells and borehole datasets
  59. Looking for Crop growth conditions dataset
  60. Dataset for translate machine JA-EG
  61. Looking for Electronic Health Record (EHR) record prices
  62. Looking for tax data for different countries
  63. Musicians Birthday Datasets and Associated groups
  64. Searching for dataset related to car dealerships [1]
  65. Looking for Credit Score Approval dataset
  66. Cyberbullying Dataset by demographics
  67. Datasets on financial trends for minors
  68. Data where I can find out about reading habits? [1, 2]
  69. Data sets for global technology adoption rates
  70. Looking for any and all cat / feline cancer datasets, for both detection and treatment
  71. ITSM dictionary/taxonomy datasets for topic modeling purposes
  72. Multistage Reliability Dataset
  73. Looking for dataset of ingredients for food[1]
  74. Looking for datasets with responses to psychological questionnaires[1,2,3]
  75. Data source for OEM automotive parts
  76. Looking for dataset about gene regulation
  77. Customer Segmentation Datasets (For LTV Models)
  78. Automobile dataset, years of ownership and repairs
  79. Historic Housing Prices Dataset for Individual Houses
  80. Looking for the data for all the tokens on the Uniswap graph
  81. Job applications emails datasets, either rejection, applications or interviews
  82. E-learning datasets for impact on e learning on school/university students
  83. Food delivery dataset (Uber Eats, Just Eat, …)
  84. Data Sets for NFL Quarterbacks since 1995
  85. Medicare Beneficiary Population Data
  86. Covid 19 infected Cancer Patients datasets
  87. Looking for  EV charging behavior dataset
  88. State park budget or expansionary spending dataset
  89.  Autonomous car driving deaths dataset
  90. FMCG Spending habits over the pandemic
  91. Looking for a Question Type Classification dataset
  92. 20 years of Manufacturer/Retail price of Men’s footwear
  93. Dataset of Global Technology Adoption Rates
  94. Looking For Real Meeting Transcripts Dataset
  95. Dataset For A Large Archive Of Lyrics  [1,2,3]
  96. Audio dataset with swearing words
  97. A global, georeferenced event dataset on electoral violence with lethal outcomes from 1989 to 2017. [1,]
  98. Looking for Jaundice Dataset for ML model
  99. Looking for social engineering attack detection dataset?
  100. Wound image datasets to train ML model [1]
  101. Seeking for resume and job post dataset
  102. Labelled dataset (sets of images or videos) of human emotions [1,2]
  103. Dataset of specialized phone call transcripts
  104. Looking for Emergency Response Plan Dataset for family Homes, condo buildings and Companies
  105. Looking for Birthday wishes datasets
  106. Desperately in need of national data for real estate [1,2,]
  107. NFL playoffs games stadium attendance dataset
  108. Datasets with original publication dates of novels [1,2]
  109. Annotated Documents with Images Data Dump
  110. Looking for  dataset for “Face Presentation Attack Detection”
  111. Electric vehicle range & performance dataset [1, 2]
  112. Dataset or API with valid postal codes for US, Mexico, and Canada with country, state/province, and city/town [1, 2, 3, 4, 5, 6]
  113. Looking for Data sources regarding Online courses dropout rate, preferably by countries [1,2 ]
  114. Are there dataset for language learning [1, 2]
  115. Corporate Real Estate Data [1,2, 3]
  116. Looking for simple clinical trials datasets [1, 2]
  117. CO2 Emissions By Aircraft (or Aircraft Type) – Climate Analysis Dataset [1,2, 3, 4]
  118. Player Session/playtime dataset from games [1,2]
  119. Data sets that support Data Science (Technology, AI etc) being beneficial to sustainability [1,2]
  120. Datasets of a grocery store [1,2]
  121. Looking for mri breast cancer annotation datasets [1,2]
  122. Looking for free exportable data sets of companies by industry [1,2]
  123. Datasets on Coffee Production/Consumption [1,2]
  124. Video gaming industry datasets – release year, genre, games, titles, global data  [1,2]
  125. Looking for mobile speaker recognition dataset [1,2]
  126. Public DMV vehicle registration data [1,2]
  127. Looking for historical news articles based on industry sector [1,2]
  128. Looking for Historical state wide Divorce dataset [1,2]
  129. Public Big Datasets – with In-Database Analytics [1,2]
  130. Dataset for detecting Apple products (object detection) [1,2]
  131. Help needed to get the American Hospital Association (AHA) datasets (AHA Annual Survey, AHA Financial Database, and AHA IT Survey datasets)  [1, 2]
  132. Looking for help Getting College Football Betting Data [1,2]
  133. 2012-2020 US presidential election results by state/city dataset [1,2, 3]
  134. Looking for datasets of models and images captured using iphone’s LIDAR? [1,2]
  135. Finding Datasets to Age Texts (Newspapers, Books, Anything works) [1, 2, 3]
  136. Looking for cost of living index of some type for US [1,2]
  137. Looking for dataset that recorded historical NFT prices and their price increases, as well as timestamps. [1,2]
  138. Looking for datasets on park boundaries across the country [1, 2, 3]
  139. Looking for medical multimodal datasets [1, 2, 3]
  140. Looking for Scraped Parler Data [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
  141. Looking for Silicon Wafer Demand dataset [1, 2]
  142. Looking for a dataset with the values [Gender – Weight – Height – Health] [1, 2]
  143. Exam questions (mcqs and short answer) datasets? [1, 2]
  144. Canada Botanical Plants API/Database [1, 2, 3]
  145. Looking for a geospatial dataset of birds Migration path [1, 2, 3]
  146. WhatsApp messages dataset/archives [1, 2]
  147.  Dataset of GOOD probiotic microorganisms in the HUMAN gut [1, 2]
  148. Twitter competition to reduce bias in its image cropping [1,2]
  149. Dataset: US overseas military deployments, 1950–2020 [1,2]
  150. Dataset on human clicking on desktop [1,2]
  151. Covid-19 Cough Audio Classification Dataset [1, 2]
  152. 12,000+ known superconductors database [1, 2, 3]
  153. Looking for good dataset related to cyber security for prediction [1, 2]
  154. Where can I find face datasets to classify whether it is a real person or a picture of that person. For authentication purposes? [1,2]
  155. DataSet of Tokyo 2020 (2021) Olympics ( details about the Athletes, the countries they representing, details about events, coaches, genders participating in each event, etc.) [1, 2]
  156. What is your workflow for budget compute on datasets larger than 100GB? [1, 2, 3]
  157. Looking for a dataset that contains information about cryptocurrencies. [1, 2

  158. Looking for a depression dataset [1,2, 3]

  159. Looking for chocolate consumer demographic data [1,2, 3]
  160. Looking for thorough dataset of housing price/tax history [1, 2, 3]
  161. Wallstreetbets data scraping from 01/01/2020 to 01/06/2021 [1, 2]
  162. Retinal Disease Classification Dataset [1, 2]
  163. 400,000 years of CO2 and global temperature data [1, 2, 3]
  164. Looking for datasets on neurodegenerative diseases [1, 2, 3]
  165. Dataset for Job Interviews (either Phone, Online, or Physical) [1,2 ,3]
  166. Firm Cyber Breach Dataset with Firm Identifiers [1, 2, 3]
  167. Wondering how Stock market and Crypto website get the Data from [1, 2, 3, 4, 5]
  168. Looking for a dataset with US tourist injuries, attacks, and/or fatalities when traveling abroad [1, 2, 3]
  169. Looking for Wildfires Database for all countries by year and month? The quantity of wildfires happening, the acreage, things like that, etc.. [1, 2, 3, ]
  170. Looking for a pill vs fake pill image dataset [1, 2, 3, 4, 5, 6, 7]

Cars for sale in Germany from 2011 to 2021

Dataset obtained scraping AutoScout. In the file, you will find features describing 46405 vehicles: mileage, make, model, fuel, gear, offer type, price, horse power, registration year.

Dataset scraped from AutoScout24 with information about new and used cars.

 

Percentage of female students in higher education by subject area

r/dataisbeautiful - [OC] Percentage of female students in higher education by subject area

The data was obtained from the UK government website here , so unfortunately there are some things I’m unaware of regarding data and methodology.

All the passes: A visualization of ~1 million passes from 890 matches played in major football/soccer leagues/cups

  •  Champion League 1999
  • FA Women’s Super League 2018
  • FIFA World Cup 2018, La Liga 2004 – 2020
  • NWSL 2018
  • Premier League 2003 – 2004
  • Women’s World Cup 2019

Data Source: StatsBomb

Global “Urbanity” Dataset (using population mosaics, nighttime lights, & road networks

In this project, the authors  have designed a spatial model which is able to classify urbanity levels globally and with high granularity. As the target geographic support for our model we selected the quadkey grid in level 15, which has cells of approximately 1x1km at the equator.

Dataset:  Here 

Percentage of students with disabilities in higher education by subject area

r/dataisbeautiful - [OC] Percentage of students with disabilities in higher education by subject area

The author obtained the data from the UK Government website, so unfortunately don’t know the methodology or how they collected the data etc. 

The comparison to the general public is  a great idea – according to the Government site, 6% of children, 16% of working-age adults and 45% of Pension-age adults are disabled.

Dataset: here

Arrests for Hate Crimes in NYC by Category, 2017-2020

r/dataisbeautiful - [OC] Arrests for Hate Crimes in NYC by Category, 2017-2020

The Most Successful U.S. Sports Franchises

r/dataisbeautiful - [OC] The Most Successful U.S. Sports Franchises

Data source: sports-reference.com/

Adult cognitive skills (PIAAC literacy and numeracy) by Percentile and by country

According to the author  , this animation depicts adult cognitive skills, as measured by the PIAAC study by OECD. Here, the numeracy and literacy skills have been combined into one. Each frame of the animation shows the xth percentile skill level of each individual country. Thus, you can see which countries have the highest and lowest scores among their bottom performers, median performers, and top performers. So for example, you can see that when the bottom 1st percentile of each country is ranked, Japan is at the top, Russia is second, etc. Looking at the 50th percentile (median) of each country, Japan is top, then Finland, etc.

 

 Programme for the International Assessment of Adult Competencies (PIAAC) is a study by OECD to measure measured literacy, numeracy, and “problem-solving in technology-rich environments” skills for people ages 16 and up. For those of you who are familiar with the school-age children PISA study, this is essentially an adult version of it.

Dataset: PIAAC 

G7 Corporate Tax rate 1980 – 2020

r/dataisbeautiful - G7 Corporate Tax rate 1980 - 2020 [OC]

Dataset: Tax Foundation

 Euro 2020 (played in 2021) Group Stage Predictions Based of a Bayesian Linear Item Response Model

r/dataisbeautiful - [OC] Euro 2020 (played in 2021) Group Stage Predictions Based of a Bayesian Linear Item Response Model

Data Source: UEFA qualifying match data

The model was built in Stan and was inspired by Andrew Gelman’s World Cup model shown here. These plots show posterior probabilities that the team on the y axis will score more goals than the team on the x axis. There is some redundancy of information here (because if I know P(England beats Scotland) then I know P(Scotland beats England) )

Data

Source: Italian National Institute of Statistics (Istituto Nazionale di Statistica)

The 15 most shared musicians on Reddit

r/dataisbeautiful - [OC] The 15 most shared musicians on Reddit

Data source: The authors made a dataset of YouTube and Spotify shares on Reddit. More info available here

Spam vs. Legitimate Email, Average Global Emails per Day

r/dataisbeautiful - Spam vs. Legitimate Email, Average Global Emails per Day [OC]

Data Source: Here. The author  computed the average per day over the June 3 – June 9, 2021 period.

spam vs legitimate email 2021

Falling Fertility, 1800–2016

Data source: Here (go to the “Babies per woman,” “Income,” and “Population” links on that page).

Europe Covid-19 waves

r/dataisbeautiful - Europe Covid-19 waves [OC]

Data Source: Here

Who is going to win EURO 2020? Predicted probabilities pooled together from 18 sources

r/dataisbeautiful - Who is going to win EURO 2020? Predicted probabilities pooled together from 18 sources [OC]

Data source: Here

Population Density of Canada 2020

r/dataisbeautiful - [OC] Population Density of Canada 2020

DataSet:  Gathered from worldpop.org/project

The greater the length of each spike correlates to greater population density.

 

The portion of a country’s population that is fully vaccinated for COVID (as of June 2021) scales with GDP per capita.

r/dataisbeautiful - [OC] The portion of a country's population that is fully vaccinated for COVID (as of June 2021) scales with GDP per capita.

 

Dataset of Chemical reaction equations

1-  chemequations.com/en/

2- Kaggle chemistry section 

3- Reaction datasets 

4- Chemistry datasets

5- BiomedCentral 

 

Maths datasets

1111 2222 3333 Equation Learning 

Datasets for Stata Structural Equation Modeling

Mathematics Dataset

 

SQL Queries Dataset 

SEDE (Stack Exchange Data Explorer) is a dataset comprised of 12,023 complex and diverse SQL queries and their natural language titles and descriptions, written by real users of the Stack Exchange Data Explorer out of a natural interaction. These pairs contain a variety of real-world challenges which were rarely reflected so far in any other semantic parsing dataset. Access it here

 

Countries of the world, ranked by population, with the 100 largest cities in the world marked

According to the author:

Each map size is proportional to population, so China takes up about 18-19% of the map space.

Countries with very far-flung territories, such as France (or the USA) will have their maps shrunk to fit all territories. So it is the size of the map rectangle that is proportional to population, not the colored area. Made in R, using data from naturalearthdata.com. Maps drawn with the tmap package, and placed in the image with the gridExtra package. Map colors from the wesanderson package.

Data source: The Economist

What businesses in different countries search for when they look for a marketing agency – “creative” or “SEO”?

r/dataisbeautiful - What businesses in different countries search for when they look for a marketing agency - "creative" or "SEO"? [OC]

Data source: Google Trends

More maps, charts and written analysis on this topic here

 

Is the economic gap between new and old EU countries closing?

Post image

Data source:  Eurostat

Interactive version so you can click on those circles here

 

Reddit r/wallstreetbets posts and comments in real-time

  • Posts

  • Comments

  • Beneath adds some useful features for shared data, like the ability to run SQL queries, sync changes in real-time, a Python integration, and monitoring. The monitoring is really useful as it lets you check out the write activity of the scraper (no surprise, WSB is most active when markets are open
  • The scraper (which uses Async PRAW) is open source here

Global NO2 pollution data visualization June 2021

Data Source: SILAM

Shopify App Store Report: 2021

Data source: Marketplace Apps

The Chrome Webstore Report: 2021

Data source: Marketplace Apps

 

Percentage of Adults with HIV/AIDS in Africa

r/dataisbeautiful - [OC] Percentage of Adults with HIV/AIDS in Africa

Dataset:  All the countries through the UN AIDS organization 

 

Recorded CDC deaths (2014 – June 16, 2021) from Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99)

r/dataisbeautiful - [OC] Recorded CDC deaths (2014 - June 16, 2021) from Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99)

Data Source: combined CDC weekly death counts 2014 – 2019 and CDC weekly death counts 2020-2021

What are the long term gains on cryptocurrencies?

r/dataisbeautiful - What are the long term gains on cryptocurrencies? [OC]

Data Sources: investing.com and coingecko.com

The chart shows the average daily gain in $ if $100 were invested at a date on x-axis. Total gain was divided by the number of days between the day of investing and June 13, 2021. Gains were calculated on average 30-day prices.

Time range: from March 28, 2013, till June 13, 2021

Life Expectancy and Death Probability by Age and Gender

r/dataisbeautiful - [OC] Life Expectancy and Death Probability by Age and Gender

Data source: Here

 

Daily Coronavirus cases in Canada vs % of Population Vaccinated

r/dataisbeautiful - Daily Coronavirus cases in Canada vs % of Population Vaccinated [OC]

Data Source: Cases Vaccines

Google Playstore Apps with 2.3million app data on Kaggle

Google Playstore dataset is now available with double the data (2.3 Million) android application data and a new attribute stating the scraped date time in Kaggle.

Dataset: Get it here or here

African languages dataset

We have 3000 tribes or more in Africa and in that 3000 we have sub tribes.

1 Introduction to African Languages (Harvard)

2- Languages of the world at Ethnologue

3- Britannica: Nilo-Saharan Laguages

4- Britannica: Khoisan Languages

Daily Temperature of Major Cities Dataset

Daily average temperature values recorded in major cities of the world.

 The dataset is available as separate txt files for each city here. The data is available for research and non-commercial purposes only

 Do stricter gun laws reduce firearms homicides?

r/dataisbeautiful - [OC] Do stricter gun laws reduce firearms homicides?

Data Sources: Guns to CarryEFSGVCDC

According to the author: Looking at non-suicide firearms deaths by state (2019), and then grouping by the Guns to Carry rating (1-5 stars), it seems that stricter gun laws are correlated with fewer firearms homicides. Guns to Carry rates states based on “Gun friendliness” with 1 star being least friendly (California, for example), and 5 stars being most friendly (Wyoming, for example). The ratings aren’t perfect but they include considerations like: Permit required, Registration, Open carry, and Background checks to come up with a rating.

The numbers at the bottom are the average non-suicide deaths calculated within the rating group. Each bar shows the number for the individual state.

Interesting that DC is through the roof despite having strict laws. On the flip side, Maine is very friendly towards gun owners and has a very low homicide rate, despite having the highest ratio of suicides to homicides.

Obviously, lots of things to consider and this is merely a correlation at a basic level. This is a topic that interested me so I figured I’d share my findings. Not attempting to make a policy statement or anything.

Relative frequency of words in economics textbooks vs their frequency in mainstream English (the Google Books corpus)

r/dataisbeautiful - [OC] Relative frequency of words in economics textbooks vs their frequency in mainstream English (the Google Books corpus)

Author

Data Source: Data for word frequency in the Google corpus is from the 2019 Ngram dataset. For details about how to work with this data, see Working With Google Ngrams: A Data-Wrangling Tale.

Data for word frequency in econ textbooks was compiled by myself by scraping words from 43 undergraduate economics textbooks. For details see Deconstructing Econospeak.

Hours per day spent on mobile devices by US adults

r/dataisbeautiful - [OC] Hours per day spent on mobile devices by US adults

Author: nava_7777

Data Source: from eMarketer, as quoted byJon Erlichman

Purpose according to the author: raw textual numbers (like in the original tweet) are hard to compare, particularly the acceleration or deceleration of a trend. Did for myself, but maybe is useful to somebody.

Environmental Impact of Coffee Brewing Methods

r/dataisbeautiful - [OC] Environmental Impact of Coffee Brewing Methods

Author: Coffee_Medley

Data Source: 1 2 3

More according to the author:

  • Measurements and calculations of NG and Electricity used to heat four cups of distilled water by Coffee Medley (6/14/2021)

  • Average coffee bag and pod weight by Coffee Medley (6/14/2021)

Murders in major U.S. Cities: 2019 vs. 2020

r/dataisbeautiful - [OC] Murders in major U.S. Cities: 2019 vs. 2020

Author: datacanbeuseful

Data source: NPR

New Harvard Data (Accidentally) Reveal How Lockdowns Crushed the Working Class While Leaving Elites Unscathed

Data source: Harvard

Support for same-sex marriage by religious group

r/dataisbeautiful - Support for same-sex marriage by religious group [OC]

Data source: PEW

More: Summary of religiously (un)affiliated people’s views on homosexuality, broken down into 18 countries

Daily chance of dying for Americans

r/dataisbeautiful - Daily chance of dying for Americans [OC]

Author: NortherSugarLoaf

Data source: SSA Actuarial Data

Processing: Yearly probability of death is converted to the daily probability and expressed in micromorts. Plotted versus age in years.

Micromort:

According to the author,

A few things to notice: It’s dangerous to be a newborn. The same mortality rates are reached again only in the fifties. However, mortal