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.

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

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.

2022 AWS Cloud Practitioner Exam Preparation

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

Percent of “foreign-born” population in each US and EU state or country.

For the EU, “foreign-born” mean being born outside of any of the EU countries. For the US, “foreign-born” mean being born outside of any US state 🇺🇸🇪🇺

Author: Here

Percent of “foreign-born” population in each US and EU state or country. For the EU, “foreign-born” mean being born outside of any of the EU countries. For the US, “foreign-born” mean being born outside of any US state.

Save 65% on select product(s) with promo code 65ZDS44X on

Examples of “foreign-born” in this context:

  • Person born in Spain and living in France is NOT “foreign-born”

  • Person born in Turkey and living in France is “foreign-born”

  • Person born in Florida and living in Texas is NOT “foreign-born”

  • Person born in Mexico and living in Texas is “foreign-born”

  • Person born in Florida and living in France is “foreign-born”

  • Person born in France and living in Florida is “foreign-born”


Note: Poland, Ireland, Germany, Greece, Cyprus, Malta, Portugal uses Eurostat 2010 Migration data and Croatia has no data at all




Tools: MS Office

Source: Here

35% of “entry-level” jobs on LinkedIn require 3+ years of experience

r/dataisbeautiful - [OC] 35% of "entry-level" jobs on LinkedIn require 3+ years of experience

Build the skills that'll drive your salary into six figures

Source: LinkedIn data  (see original post)

Tool: Photoshop from my colleague

Latest complete Netflix movie dataset

Created from 4 APIs. 11K+ rows and 30+ attributes of Netflix (Ratings, earnings, actors, language, availability, movie trailers, and many more)

Dataset on Kaggle.

Explore this dataset using (this dataset is powering this webapp)

Dataset on Google Sheets.

Common Crawl

A corpus of web crawl data composed of over 50 billion web pages. The Common Crawl corpus contains petabytes of data collected since 2008. It contains raw web page data, extracted metadata and text extractions.

AWS CLI Access (No AWS account required)

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

s3://commoncrawl/crawl-data/CC-MAIN-2021-17 – April 2021

 Dataset on protein prices

Data on Primary Commodity Prices are updated monthly based on the IMF’s Primary Commodity Price System.

Excel Database

 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 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



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 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). 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: 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. 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

Yahoo Answers DataSets

Yahoo is shutting down in 2021. This is Yahoo Answers datasets (300MB gzip) that is fairly extensive from 2015 with about 1.4m rows. This dataset has the best questions answers, I mean all the answers, including the most insane awful answers and the worst questions people put together. Download it here.

Another option here: According to the tracker, there are 77M done, 20M out(?), and 40M to go:

Yahoo Answer on Wikipedia

History of America 1400-2021




Persian words phonetics dataset

This is a dataset of about 55K Persian words with their phonetics. Each word is in a line and separated from its phonetic by a tab. Download it here

Historical Air Quality Dataset

Air Quality Data Collected at Outdoor Monitors Across the US. This is a BigQuery Dataset. There are no files to download, but you can query it through Kernels using the BigQuery API. The AQS Data Mart is a database containing all of the information from AQS. It has every measured value the EPA has collected via the national ambient air monitoring program. It also includes the associated aggregate values calculated by EPA (8-hour, daily, annual, etc.). The AQS Data Mart is a copy of AQS made once per week and made accessible to the public through web-based applications. The intended users of the Data Mart are air quality data analysts in the regulatory, academic, and health research communities. It is intended for those who need to download large volumes of detailed technical data stored at EPA and does not provide any interactive analytical tools. It serves as the back-end database for several Agency interactive tools that could not fully function without it: AirData, AirCompare, The Remote Sensing Information Gateway, the Map Monitoring Sites KML page, etc.

Stack Exchange Dataset

Stack Exchange

Awesome Public Datasets

This list of a topic-centric public data sources in high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed below are free, however, some are not.

Agriculture Dataset

Biology Dataset

Climate and Weather Dataset

Complex Network Dataset

Computer Network Dataset

CyberSecurity Dataset

Data Challenges Dataset

Earth Science Dataset

Economics Dataset

Education Dataset

Energy Dataset

Entertainment Dataset

Finance Dataset

GIS Dataset

Government Dataset

Healthcare Dataset

Image Processing Dataset

Machine Learning Dataset

Museums Dataset

Natural Language Dataset

Neuroscience Dataset

Physics Dataset

Prostate Cancer Dataset

Psychology and Cognition Dataset

Public Domains Dataset

Search Engines Dataset

Social Networks Dataset

Social Sciences Dataset

Software Dataset

Sports Dataset

Time Series Dataset

Transportation Dataset

eSports Dataset

Complementary Collections

Categorized list of public datasets: Sindre Sorhus /awesome List


  • Node.js – Async non-blocking event-driven JavaScript runtime built on Chrome’s V8 JavaScript engine.
  • Frontend Development
  • iOS – Mobile operating system for Apple phones and tablets.
  • Android – Mobile operating system developed by Google.
  • IoT & Hybrid Apps
  • Electron – Cross-platform native desktop apps using JavaScript/HTML/CSS.
  • Cordova – JavaScript API for hybrid apps.
  • React Native – JavaScript framework for writing natively rendering mobile apps for iOS and Android.
  • Xamarin – Mobile app development IDE, testing, and distribution.
  • Linux
    • Containers
    • eBPF – Virtual machine that allows you to write more efficient and powerful tracing and monitoring for Linux systems.
    • Arch-based Projects – Linux distributions and projects based on Arch Linux.
  • macOS – Operating system for Apple’s Mac computers.
  • watchOS – Operating system for the Apple Watch.
  • JVM
  • Salesforce
  • Amazon Web Services
  • Windows
  • IPFS – P2P hypermedia protocol.
  • Fuse – Mobile development tools.
  • Heroku – Cloud platform as a service.
  • Raspberry Pi – Credit card-sized computer aimed at teaching kids programming, but capable of a lot more.
  • Qt – Cross-platform GUI app framework.
  • WebExtensions – Cross-browser extension system.
  • RubyMotion – Write cross-platform native apps for iOS, Android, macOS, tvOS, and watchOS in Ruby.
  • Smart TV – Create apps for different TV platforms.
  • GNOME – Simple and distraction-free desktop environment for Linux.
  • KDE – A free software community dedicated to creating an open and user-friendly computing experience.
  • .NET
    • Core
    • Roslyn – Open-source compilers and code analysis APIs for C# and VB.NET languages.
  • Amazon Alexa – Virtual home assistant.
  • DigitalOcean – Cloud computing platform designed for developers.
  • Flutter – Google’s mobile SDK for building native iOS and Android apps from a single codebase written in Dart.
  • Home Assistant – Open source home automation that puts local control and privacy first.
  • IBM Cloud – Cloud platform for developers and companies.
  • Firebase – App development platform built on Google Cloud Platform.
  • Robot Operating System 2.0 – Set of software libraries and tools that help you build robot apps.
  • Adafruit IO – Visualize and store data from any device.
  • Cloudflare – CDN, DNS, DDoS protection, and security for your site.
  • Actions on Google – Developer platform for Google Assistant.
  • ESP – Low-cost microcontrollers with WiFi and broad IoT applications.
  • Deno – A secure runtime for JavaScript and TypeScript that uses V8 and is built in Rust.
  • DOS – Operating system for x86-based personal computers that was popular during the 1980s and early 1990s.
  • Nix – Package manager for Linux and other Unix systems that makes package management reliable and reproducible.

Programming Languages

  • JavaScript
  • Swift – Apple’s compiled programming language that is secure, modern, programmer-friendly, and fast.
  • Python – General-purpose programming language designed for readability.
    • Asyncio – Asynchronous I/O in Python 3.
    • Scientific Audio – Scientific research in audio/music.
    • CircuitPython – A version of Python for microcontrollers.
    • Data Science – Data analysis and machine learning.
    • Typing – Optional static typing for Python.
    • MicroPython – A lean and efficient implementation of Python 3 for microcontrollers.
  • Rust
  • Haskell
  • PureScript
  • Go
  • Scala
    • Scala Native – Optimizing ahead-of-time compiler for Scala based on LLVM.
  • Ruby
  • Clojure
  • ClojureScript
  • Elixir
  • Elm
  • Erlang
  • Julia – High-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science.
  • Lua
  • C
  • C/C++ – General-purpose language with a bias toward system programming and embedded, resource-constrained software.
  • R – Functional programming language and environment for statistical computing and graphics.
  • D
  • Common Lisp – Powerful dynamic multiparadigm language that facilitates iterative and interactive development.
  • Perl
  • Groovy
  • Dart
  • Java – Popular secure object-oriented language designed for flexibility to “write once, run anywhere”.
  • Kotlin
  • OCaml
  • ColdFusion
  • Fortran
  • PHP – Server-side scripting language.
  • Pascal
  • AutoHotkey
  • AutoIt
  • Crystal
  • Frege – Haskell for the JVM.
  • CMake – Build, test, and package software.
  • ActionScript 3 – Object-oriented language targeting Adobe AIR.
  • Eta – Functional programming language for the JVM.
  • Idris – General purpose pure functional programming language with dependent types influenced by Haskell and ML.
  • Ada/SPARK – Modern programming language designed for large, long-lived apps where reliability and efficiency are essential.
  • Q# – Domain-specific programming language used for expressing quantum algorithms.
  • Imba – Programming language inspired by Ruby and Python and compiles to performant JavaScript.
  • Vala – Programming language designed to take full advantage of the GLib and GNOME ecosystems, while preserving the speed of C code.
  • Coq – Formal language and environment for programming and specification which facilitates interactive development of machine-checked proofs.
  • V – Simple, fast, safe, compiled language for developing maintainable software.

Front-End Development

Back-End Development

  • Flask – Python framework.
  • Docker
  • Vagrant – Automation virtual machine environment.
  • Pyramid – Python framework.
  • Play1 Framework
  • CakePHP – PHP framework.
  • Symfony – PHP framework.
  • Laravel – PHP framework.
    • Education
    • TALL Stack – Full-stack development solution featuring libraries built by the Laravel community.
  • Rails – Web app framework for Ruby.
  • Phalcon – PHP framework.
  • Useful .htaccess Snippets
  • nginx – Web server.
  • Dropwizard – Java framework.
  • Kubernetes – Open-source platform that automates Linux container operations.
  • Lumen – PHP micro-framework.
  • Serverless Framework – Serverless computing and serverless architectures.
  • Apache Wicket – Java web app framework.
  • Vert.x – Toolkit for building reactive apps on the JVM.
  • Terraform – Tool for building, changing, and versioning infrastructure.
  • Vapor – Server-side development in Swift.
  • Dash – Python web app framework.
  • FastAPI – Python web app framework.
  • CDK – Open-source software development framework for defining cloud infrastructure in code.
  • IAM – User accounts, authentication and authorization.
  • Chalice – Python framework for serverless app development on AWS Lambda.

Computer Science

Big Data

  • Big Data
  • Public Datasets
  • Hadoop – Framework for distributed storage and processing of very large data sets.
  • Data Engineering
  • Streaming
  • Apache Spark – Unified engine for large-scale data processing.
  • Qlik – Business intelligence platform for data visualization, analytics, and reporting apps.
  • Splunk – Platform for searching, monitoring, and analyzing structured and unstructured machine-generated big data in real-time.





Development Environment



  • Database
  • MySQL
  • SQLAlchemy
  • InfluxDB
  • Neo4j
  • MongoDB – NoSQL database.
  • RethinkDB
  • TinkerPop – Graph computing framework.
  • PostgreSQL – Object-relational database.
  • CouchDB – Document-oriented NoSQL database.
  • HBase – Distributed, scalable, big data store.
  • NoSQL Guides – Help on using non-relational, distributed, open-source, and horizontally scalable databases.
  • Contexture – Abstracts queries/filters and results/aggregations from different backing data stores like ElasticSearch and MongoDB.
  • Database Tools – Everything that makes working with databases easier.
  • Grakn – Logical database to organize large and complex networks of data as one body of knowledge.




Content Management Systems

  • Umbraco
  • Refinery CMS – Ruby on Rails CMS.
  • Wagtail – Django CMS focused on flexibility and user experience.
  • Textpattern – Lightweight PHP-based CMS.
  • Drupal – Extensible PHP-based CMS.
  • Craft CMS – Content-first CMS.
  • Sitecore – .NET digital marketing platform that combines CMS with tools for managing multiple websites.
  • Silverstripe CMS – PHP MVC framework that serves as a classic or headless CMS.





Decentralized Systems

  • Bitcoin – Bitcoin services and tools for software developers.
  • Ripple – Open source distributed settlement network.
  • Non-Financial Blockchain – Non-financial blockchain applications.
  • Mastodon – Open source decentralized microblogging network.
  • Ethereum – Distributed computing platform for smart contract development.
  • Blockchain AI – Blockchain projects for artificial intelligence and machine learning.
  • EOSIO – A decentralized operating system supporting industrial-scale apps.
  • Corda – Open source blockchain platform designed for business.
  • Waves – Open source blockchain platform and development toolset for Web 3.0 apps and decentralized solutions.
  • Substrate – Framework for writing scalable, upgradeable blockchains in Rust.

Higher Education

  • Computational Neuroscience – A multidisciplinary science which uses computational approaches to study the nervous system.
  • Digital History – Computer-aided scientific investigation of history.
  • Scientific Writing – Distraction-free scientific writing with Markdown, reStructuredText and Jupyter notebooks.



  • Testing – Software testing.
  • Visual Regression Testing – Ensures changes did not break the functionality or style.
  • Selenium – Open-source browser automation framework and ecosystem.
  • Appium – Test automation tool for apps.
  • TAP – Test Anything Protocol.
  • JMeter – Load testing and performance measurement tool.
  • k6 – Open-source, developer-centric performance monitoring and load testing solution.
  • Playwright – Node.js library to automate Chromium, Firefox and WebKit with a single API.
  • Quality Assurance Roadmap – How to start & build a career in software testing.



US Department of Education CRDC Dataset

The US Department of Ed has a dataset called the CRDC that collects data from all the public schools in the US and has demographic, academic, financial and all sorts of other fun data points. They also have corollary datasets that use the same identifier—an expansion pack if you may. It comes out every 2-3 years. Access it here

Nasa Dataset: sequencing data from bacteria before and after being taken to space

NASA has some sequencing data from bacteria before and after being taken to space, to look at genetic differences caused by lack of gravity, radiation and others. Very fun if you want to try your hand at some bio data science. Access it here.

All Trump’s twitter insults from 2015 to 2021 in CSV.

Extracted from the NYT story: here

Data is plural

Data is Plural is a really good newsletter published by Jeremy Singer-Vine. The datasets are very random, but super interesting. Access it here.

Global terrorism database

 Huge list of terrorism incidents from inside the US and abroad. Each entry has date and location of the incident, motivations, whether people or property were lost, the size of the attack, type of attack, etc. Access it here

Terrorist Attacks Dataset: This dataset consists of 1293 terrorist attacks each assigned one of 6 labels indicating the type of the attack. Each attack is described by a 0/1-valued vector of attributes whose entries indicate the absence/presence of a feature. There are a total of 106 distinct features. The files in the dataset can be used to create two distinct graphs. The README file in the dataset provides more details. Download Link:

Terrorists: This dataset contains information about terrorists and their relationships. This dataset was designed for classification experiments aimed at classifying the relationships among terrorists. The dataset contains 851 relationships, each described by a 0/1-valued vector of attributes where each entry indicates the absence/presence of a feature. There are a total of 1224 distinct features. Each relationship can be assigned one or more labels out of a maximum of four labels making this dataset suitable for multi-label classification tasks. The README file provides more details. Download Link

The dolphin social network

This network dataset is in the category of Social Networks. A social network of bottlenose dolphins. The dataset contains a list of all of links, where a link represents frequent associations between dolphins. Access it here

Dataset of 200,000 jokes

There are about 208 000 jokes in this database scraped from three sources.

Access it here:

The Million Song Dataset

The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks.

Its purposes are:

  • To encourage research on algorithms that scale to commercial sizes
  • To provide a reference dataset for evaluating research
  • As a shortcut alternative to creating a large dataset with APIs (e.g. The Echo Nest’s)
  • To help new researchers get started in the MIR field

Cornell University’s eBird dataset

Decades of observations of birds all around the world, truly an impressive way to leverage citizen science. Access it here.

UFO Report Dataset

NUFORC geolocated and time standardized ufo reports for close to a century of data. 80,000 plus reports. Access it here

CDC’s Trend Drug Data

The CDC has a public database called NAMCS/NHAMCS that allows you to trend drug data. It has a lot of other data points so it can be used for a variety of other reasons. Access it here.

Health and Retirement study: Public Survey data

A listing of publicly available biennial, off-year, and cross-year data products.

Example: COVID-19 Data

20202020 HRS COVID-19 Project


HRS data products produced by the RAND Center for the Study of Aging.

Gateway Harmonized Data

HRS data products produced by the USC Program on Global Aging, Health, and Policy.

Contributed and Replication Data

Data products (unsupported by the HRS) provided by researchers sharing their work.

Restricted/Sensitive Data

Cognition Data

A summary of HRS cognition data, including the new Harmonized Cognition Assessment Protocol (HCAP.)

Biomarker and Health Data

Sensitive health data files available are from the public data portal after a supplemental agreement is signed.

Restricted Data

HRS restricted data files require a detailed application process, and are available only through remote virtual desktop or encrypted physical media.

Administrative Linkages

Links HRS data with Medicare and Social Security.

Genetic Data

Genetic data products derived from 20,000 genotyped HRS respondents.

The Quick Draw Dataset

The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!. The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was located. Access it here.

Air Quality Dataset

The AirNow API replaces the previous AirNow Gateway web services. It includes file outputs and RSS data feeds. AirNow Gateway users can use their existing login information to access the new AirNow API web pages and web services. Access to the AirNow API is generally available to the public, and new accounts can be acquired via the Log In page

UK Water Industry Chemical Investigations dataset

Search and extract the measurements from 600 Wastewater Treatment Sites owned and operated by UK Water Companies and part of the Chemical Investigations Programme (CIP2).

M3 and M4 Dataset Time Series Data

The 3003 time series of the M3-Competition.

The M4 competition which is a continuation of the Makridakis Competitions for forecasting and was conducted in 2018. This competion includes the prediction of both Point Forecasts and Prediction Intervals.

Protein Data Bank (PDB)

Used by Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists. Access it here.

Dataset of Games

In computer science, Artificial Intelligence (AI) is intelligence demonstrated by machines. Its definition, AI research as the study of “intelligent agents”: any device that perceives its environment and takes actions that achieving its goals Russell et. al (2016).

Withal, Data Mining (DM) is the process of discovering patterns in data sets (or datasets) involving methods of machine learning, statistics, and database systems; DM focus on extract the information of datasets Han (2011).

This repository serves as a guide for anyone who wants to work with Artificial Intelligence or Data Mining applied in digital games! Here you will find a series of datasets, tools and materials available to build your application or dataset. Access it here. Application Screening DataSet

Help Predict whether teachers’ project proposals are accepted

Dataset of all the squirrels in Central Park

The Squirrel Census is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public.

Google BigQuery Public Datasets

BigQuery public datasets are made available without any restrictions to all Google Cloud users. Google pays for the storage of these datasets. You can use them to learn how to work with BigQuery or even build your application on top of them, exactly as we’re going to do.

IMDb Dataset

IMDb dataset importer – loads into a Marten DB document store. It imports the public datasets into a database, and provides repositories for querying. The total imported size is about 40 million rows, and 14 gigabytes on disk!

PHOnA: A Public Dataset of Measured Headphone Transfer Functions

A dataset of measured headphone transfer functions (HpTFs), the Princeton Headphone Open Archive (PHOnA), is presented. Extensive studies of HpTFs have been conducted for the past twenty years, each requiring a separate set of measurements, but this data has not yet been publicly shared. PHOnA aggregates HpTFs from different laboratories, including measurements for multiple different headphones, subjects, and repositionings of headphones for each subject. The dataset uses the spatially oriented format for acoustics (SOFA), and SOFA conventions are proposed for efficiently storing HpTFs. PHOnA is intended to provide a foundation for machine learning techniques applied to HpTF equalization. This shared data will allow optimization of equalization algorithms to provide more universal solutions to perceptually transparent headphone reproduction. Access it here.

Sports Data Set

Provide both basic and sabermetric statistics and resources for sports fans everywhere. Access here

Kaggle DataSets

Explore, analyze, and share quality data here

Coronavirus Datasets

Spreadsheets and Datasets:

Natural History Museum in London

The Natural History Museum in London has 80 million items (and counting!) in its collections, from the tiniest specks of stardust to the largest animal that ever lived – the blue whale. 

The Digital Collections Programme is a project to digitise these specimens and give the global scientific community access to unrivalled historical, geographic and taxonomic specimen data gathered in the last 250 years. Mobilising this data can facilitate research into some of the most pressing scientific and societal challenges.

Digitising involves creating a digital record of a specimen which can consist of all types of information such as images, and geographical and historical information about where and when a specimen was collected. The possibilities for digitisation are quite literally limitless – as technology evolves, so do possible uses and analyses of the collections. We are currently exploring how machine learning and automation can help us capture information from specimen images and their labels.

With such a wide variety of specimens, digitising looks different for every single collection. How we digitise a fly specimen on a microscope slide is very different to how we might digitise a bat in a spirit jar! We develop new workflows in response to the type of specimens we are dealing with. Sometimes we have to get really creative, and have even published on workflows which have involved using pieces of LEGO to hold specimens in place while we are imaging them.

Mobilising this data and making it open access is at the heart of the project. All of the specimen data is released on our Data Portal, and we also feed the data into international databases such as GBIF.

TSA Throughput Dataset (alternate source)

The TSA has is publishing more and more data via it’s Freedom of Information Act (FOIA) Reading Room.  This project on gith tsathroughput  contains the source for extracting the information from the .PDF files and converts them to JSON and CSV files.

The /data folder contains the source .PDFs going back to 2018 while the /data/raw/tsa/throughput folder contains .json files.

Data Planet

The largest repository of standardized and structured statistical data

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


Quora Question Pairs at

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 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

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

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:


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



USA & CANADA: Canada, USA (obviously)

Made with MATLAB

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

source: r/dataisbeautiful

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. 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 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.

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 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

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-  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

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

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?









Historical population count of Western Europe

[OC] Historical population count of Western Europe from dataisbeautiful

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

[OC] Recorded Music Industry Revenues from 1997 to 2020 from dataisbeautiful


US Trade Surpluses and Deficits by Country (2020)

Facebook Monthly Active Users

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

Facebook monthly active users


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

[OC] This is a heat map of the past 50,000 earthquakes pulled from USGS sorted by magnitude. from dataisbeautiful

Source:  USGS website

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

Darker areas indicate areas with higher emissions.

Where do the world’s methane (CH4)emissions come from? Darker areas indicate areas with higher emissions. [OC] from dataisbeautiful

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

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

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)


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

[OC] Capitol insurrection arrests per million people by state from dataisbeautiful

How have cryptocurrencies done during the Pandemic?

[OC] How have cryptocurrencies done during the Pandemic? from dataisbeautiful

Data Source: Downloaded performance data on these cryptocurrencies from 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

 Crypto race: DOGE vs BTC, last 365 days

[OC] Crypto race: DOGE vs BTC, last 365 days (now with axes and % gain annotated) from dataisbeautiful

Data sources: Coindesk BTC, Coindesk Dodge

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

What if you bought $100 worth of X a year ago? [OC] from dataisbeautiful

12,000 years of human population dynamics

[OC] 12,000 years of human population dynamics v2.0 – slower & more frames from dataisbeautiful

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

[OC]Modern wars with greater than 25,000 deaths by year from dataisbeautiful

Data Source : Wikipedia

Population Projection for China and India till 2050

This graphic shows India’s population overtaking China
This graphic shows India’s population overtaking China

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:

Formula 1 Cumulative Wins by Team (1950-2021)

[OC] – Formula 1 Cumulative Wins by Team (1950-2021) from dataisbeautiful

Data Source :

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

[OC] Countries with the most nuclear warheads. A couple of days ago I posted this with a logarithmic scale. A lot of people thought that was confusing, here is the linear scale. from dataisbeautiful

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

NameYearFeature TypeFeature CountTarget VariableInstancesOfficial Train/Test SplitData SourceFormat
Casting Product Quality Inspection2020Image300×300
C (2)7.348✔️RealJPGLink

Process Parameter Optimization

NameYearFeature TypeFeature CountInstancesOfficial Train/Test SplitData SourceFormat
Laser Welding2020Signal13361RealXLSLink

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

Plant Phenotyping

One hundreds plant species datasets


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

#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.


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


World Wide Energy Production by Source 1860 – 2019

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

Data source:

 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:

Data visualization

r/dataisbeautiful - [OC] US Rivers and Streams

Bubble Chart that compares the GDP of the G20 Countries

Data source:

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,, and 

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: 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: 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

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:

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:

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, 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.

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,]
  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

1million+ football/soccer passes visualization

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:

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) )


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

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


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 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: and

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)


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.


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, mortality drops after birth very quickly and the safest age is about ten years old. After experiencing mortality jump in puberty – especially high for boys, mortality increases mostly exponentially with age. Every thirty years of life increase chances of dying about ten times. At 80, chance of dying in a year is about 5.8% for males and 4.3% for females. This mortality difference holds for all ages. The largest disparity is at about twenty three years old when males die at a rate about 2.7 times higher than females.

This data is from before COVID.

Here is the same graph but in linear Y axis scale

Here is the male to female mortality ratio

Mapping Global Carbon Emission Intensity (Dec 2020)

r/dataisbeautiful - [OC] Mapping Global Carbon Emission Intensity (Dec 2020)

Data Source: Copernicus Atmosphere Monitoring Service (CAMS)

Religions with the most Adherents from 1945 – 2010

This image has an empty alt attribute; its file name is image.png

Data source: Zeev Maoz and Errol A. Henderson. 2013. “The World Religion Dataset, 1945-2010: Logic, Estimates, and Trends.” International Interactions, 39: 265-291.

IPO Returns 2000-2020

IPO Returns 2000-2020

IPO Returns 2000-2020

IPO Returns 2000-2020

Data from:
From the author u/nobjos: The full article on the above analysis can be found here
I have sub r/market_sentiment where I do a comprehensive deep-dive on one investment strategy/topic every week! Some of the author popular articles are
a. Performance of Jim Cramer’s stock picks
b. Performance of buy and sell recommendations made by financial analysts in the last decade
c. Benchmarking performance of Motely fool against SP500
Funko IPO is considered to have the worst first-day return for an IPO in the last two decades.
Out of the top 10 list, only 3 Investment banks had below-average returns.
On average, IPOs did make money for the investor. But the amount is significantly different if you got allocated the IPO at offer price vs you get the IPO at market price. made a whopping 354% on its listing day. Another interesting observation is 6 out of 10 companies in the list were listed in 200 (just before the dot com crash)

Total number of streams per artist vs. number of Top 200 hits (Spotify Top 200 since 2017)

r/dataisbeautiful - [OC] Total number of streams per artist vs. number of Top 200 hits (Spotify Top 200 since 2017)

Author: blairfix

Data is from the Spotify Top 200 and covers the period from Jan. 1, 2017 to Jun. 9, 2021. You can download my dataset here.

For every artist that appears in the Top 200, I add up their total streams (for all songs) and the total number of songs in the dataset.

For a commentary on the data, see The Half Life of a Spotify Hit.

Number of Miss Americas by U.S. State

r/dataisbeautiful - [OC] Number of Miss Americas by U.S. State

Data Source: Wikipedia

The World’s Nuclear Warheads

r/dataisbeautiful - [OC] The World's Nuclear Warheads

Author: academiadvice

Data Source: Federation of American Scientists – status-world-nuclear-forces/

Tools: Excel, Datawrapper,

Check out the FAS site for notes and caveats about their estimates. Governments don’t just print this stuff on their websites. These are evidence-based estimates of tightly-guarded national secrets.

Of particular note – Here’s what the FAS says about North Korea: “After six nuclear tests, including two of 10-20 kilotons and one of more than 150 kilotons, we estimate that North Korea might have produced sufficient fissile material for roughly 40-50 warheads. The number of assembled warheads is unknown, but lower. While we estimate North Korea might have a small number of assembled warheads for medium-range missiles, we have not yet seen evidence that it has developed a functioning warhead that can be delivered at ICBM range.”

The population of Las Vegas over time

r/dataisbeautiful - [OC] The population of Las Vegas over time

Data Source: Wikipedia

 The Alpha to Omega of Wikipedia

r/dataisbeautiful - [OC] The Alpha to Omega of Wikipedia

Author: feldesque

Data Source: The wikipediatrend package in R

Code published here

Glacial Inter-glacial cycles over the past 450000 years


Global temperature change from 1850-2020

r/dataisbeautiful - Global temperature change from 1850-2020

Worth noting these are largely driven by changes in the amount of solar radiation reaching us due to variations in earth’s orbit

Top Companies Contributing to Open Source – 2011/2021

Source and links

The author used several sources for this video and article. The first, for the video, is GitHub Archive & CodersRank. For the analysis of the OSCI index data, the author used

Crime Rates in the US: 1960-2021

r/dataisbeautiful - [OC] Crime Rates in the US: 1960-2021

Data source: Here


2021 is straight projections, must be taken with a grain of salt. However, the assumption of continuous rise of murder rate is not a bad one based on recent news reports, such as: here

In a property crime, a victim’s property is stolen or destroyed, without the use or threat of force against the victim. Property crimes include burglary and theft as well as vandalism and arson.

A network visualization of privacy research (83k nodes, 462k edges)

r/dataisbeautiful - [OC] A network visualisation of privacy research (83k nodes, 462k edges)

Author: FvDijk

This image was generated for my research mapping the privacy research field. The visual is a combination of network visualisation and manual adding of the labels.

The data was gathered from Scopus, a high-quality academic publication database, and the visualisation was created with Gephi. The initial dataset held ~120k publications and over 3 million references, from which we selected only the papers and references in the field.

The labels were assigned by manually identifying clusters and two independent raters assigning names from a random sample of publications, with a 94% match between raters.

The scripts used are available on Github

The full paper can be found on the author’s website:


GDP (at purchasing power parity) per capita in international dollars

r/dataisbeautiful - [OC] GDP (at purchasing power parity) per capita in international dollars

Author:  Simaniac

Data source: IMF

Phone Call Anxiety dataset for Millennials and Gen Z

r/dataisbeautiful - Phone Call Anxiety is a real thing for Millennials and Gen Z [OC]

Author: /u/CynicalScyntist

This is a randomized experiment the author  conducted with 450 people on Amazon MTurk. Each person was randomly assigned to one of three writing activities in which they either (a) described their phone, (b) described what they’d do if they received a call from someone they know, or (c) describe what they’d do if they received a call from an unknown number. Pictures of an iPhone with a corresponding call screen were displayed above the text box (blank, “Incoming Call,” or “Unknown”). Participants then rated their anxiety on a 1-4 scale.

Dataset: Here

Source Article

Hate Crime Statistics in New York State 2019-2021

Hate Crime Statistics NYC 2019-2021

r/dataisbeautiful - Hate Crime Statistics in New York State

Data source: Reports – Hate Crimes – NYPD –

Net FDI (Foreign Direct Investment) Flows of different countries (across 1970 – 2019 )

r/dataisbeautiful - [OC] Net FDI Flows of different countries (across 1970 - 2019 )

Data source – Click here


The “Face Image Meta-Database” (fIMDb)

A meta-database of links to known face image databases. If you need faces images to train/test your machine learning algorithms, or stimuli for research on faces, you will probably find this useful.

A pre-print describing this, alongside a related resource (the Chatlab Facial Anomaly Database), is available here:

Dataset: Here

Dataset on (historical) books by year of writing

u/specific is looking for dataset of books by the year in which they were written (or first published, even if it was in non-printed form).

History Book by Century on Wikipedia

Our world in data looked at rates of book publishing. 
They seem partly based off this

Trash Dataset for waste detection

 Trash/Garbage dataset which can be used for waste detection and sustainibility based projects.

Dataset: On Kaggle 

If you like it, you can give upvotes into our kaggle platform.  The authors are trying to make custom dataset and open-sourcing on Kaggle to make AI models more robust.

Social Security Administration (SSA) Open Government Select Datasets

SSA data is about people – their wages, their identifying information, their employers, their addresses, and much more.

Reddit Self-reported Depression Diagnosis (RSDD) dataset

The RSDD (Reddit Self-reported Depression Diagnosis) dataset consists of Reddit posts for approximately 9,000 users who have claimed to have been diagnosed with depression (“diagnosed users”) and approximately 107,000 matched control users. All posts made to mental health-related subreddits or containing keywords related to depression were removed from the diagnosed users’ data; control users’ data do not contain such posts due to the selection process. Access it here

BMI (Body Mass Index) dataset

Anything along the lines of

  • Height

  • Weight

  • Health

  • Age

  • Gender

  • Ethnicity

  • BMI

Dataset1 (500 rows)

nhanes dataset:  Get the demographics here 

And body measures (height weight) here

Then you have to join them by their id num, SEQN.

Here’s a publicly accessible Postgres database containing this data

China’s CO2 emissions almost surpass the G7

[OC] China’s CO2 emissions almost surpass the G7 from dataisbeautiful

According to the author jcceagle:

We consume China’s products in the G7, so we are partly responsible. China is the workshop of the world and we have outsourced our carbon emissions to them. If only I had per capita consumption data – from the factory to the consumer – this picture would look really different. This is probably what I will try to create for my next post.

I downloaded the dataset for this chart from Friedlingstein et al. 2020, The Global Carbon Budget 2020. I used it to create a json file which I used in After Effects using Javascript to make this animated chart.

Where do Turkeys come from:

According to the Author: Udzu

Inspired by this comment by /u/psychopompandparade, here’s a “what do they call the bird the English world calls turkey” chart. Data from Wiktionary, chart made using graphviz and Python.

A few etymological notes

  1. The word turkey originally referred to guinea fowl, an African bird imported from Madagascar via Turkey (and later called guinea fowl when it was brought by Portuguese traders from West Africa). It later started referring to the North American bird, either because it was viewed as a species of guinea fowl, or because it too was brought by way of the Ottoman Empire.

  2. The French dinde (a contraction of poulet d’inde) and its various derivatives is based on the misconception that the New World was Eastern Asia. The Greek γαλοπούλα looks like it derives from Γαλλία “France” + πουλί “bird”, but actually the prefix is a contraction of the Venetian galo d’India “Indian cock”.

  3. The Dutch (and Scandinavian) kalkoen refers to Calicut, which is modern day Kozhikode in Kerala. No idea why.


The most upvoted posts on Reddit

r/dataisbeautiful - [OC]The most upvoted posts on Reddit [24/06/2021]

Source: Reddit

  1. Reddit Source 1

2. Reddit Source 2

3. Reddit Source 3

4. Reddit Source 4

5. Reddit Source 5

6. Reddit Source 6

7. Reddit Source 7

8. Reddit Source 8

9. Reddit Source 9

10. Reddit Source 10

Where is the nearest National Park in the US?

r/dataisbeautiful - Where is the nearest National Park?

Author: foxygrandpa203

Data Source:  ESRI

Dataset of specialized phone call transcripts

One of the larger datasets I know of is: this one and this one 

It contains transcript data for 5,850 complete conversations. It is a paid for dataset however many universities that have a membership already can get it for free.

We are excited to present SPGISpeech (rhymes with “squeegee-speech”), a large-scale transcription dataset, freely available for academic research. SPGISpeech is a corpus of 5,000 hours of professionally-transcribed financial audio. In contrast to previous transcription datasets, SPGISpeech contains a broad cross-section of L1 and L2 English accents, strongly varying audio quality, and both spontaneous and narrated speech. The transcripts have each been cross-checked by multiple professional editors for high accuracy and are fully formatted, including capitalization, punctuation, and denormalization of non-standard words. You can read more about SPGISpeech here.

Dataset of UI images and distorted UI images like misalignments or overlaps in the UI

From the author: u/fajim123

There are tools out there like snapcrawl. which takes snapshots of websites so I have clean UI images but the problem is generating distorted UI images. I have to manually distort them in a photo editor and it’s taking a lot of time to generate the distorted images. I’m looking for an already existing repository of clean and distorted UI images or even a tool which will automatically distort the UI.

Android App Permission dataset

Android App Permission dataset is now populated with 2.2 million data items.

Kaggle link

88.5% of US children whose family’s income is $100,000 and over are living with two parents married to each other

Data source:

SO2 Concentration over the Year 1980-2017

r/dataisbeautiful - [OC]SO2 Concentration over the Year 1980-2017

Sulphur Dioxide is a byproduct of burning fossil fuels, primarily by power plants and industrial facilities.

Data source

Top 15 Countries where People Work the Most Hours – 1870/2017

In 2017, in which nation, on average, do you work the most per year? The nation where people work the most is Cambodia. In fact, the average hours worked is 2455 hours per year. Next, with about 18 hours difference on average, is Myannmar. These two nations are the only ones in the world that exceed 2400 hours per year. In third place, on the other hand, is Mexico, with 2255, followed by a series of countries, including Malaysia and South Africa, which have a value of 2200 hours and 2250.

Data source: This Research link and  The world in data

Percentage of different language speakers in India

r/dataisbeautiful - Percentage of different language speakers in India [OC]

Author: SuperEvilChina

Dataset: CensusIndia

From IdiotCharizard

Tamil and malayalam have some similarities, but are quite different. Malayalam diverged from old Tamil over a thousand years ago

Then there’s Telugu and Kannada which diverged relatively recently from each other. Telugu is sometimes called “sweet Kannada”. There’s a really cool historical chart of how the scripts diverged in the hampi museum. (Managed to find it: )

Besides those 4 big ones, you have other minor languages typically sharing one of the scripts from the big 4 or devanagari. Tulu for example.

Then there’s Konkani spoken on the west coast which is Sanskrit/Marathi descended.

So I’d say Telugu and Kannada are enough similar to be compared to romance languages. But they’re quite different from Tamil which is quite different from malayalam. And then those 4 are completely different from Hindi and other Sanskrit derivatives, and I know most Hindi/urdu speakers can somewhat pass in Punjabi, but I don’t think the same is true for Bengali, or Marathi

Plastic Waste from packaging dataset

r/dataisbeautiful - Packaging Generates Almost 50% of Plastic Waste [OC]

Dataset: Here

The author used data from the article ” Production, use, and fate of all plastics ever made” by Geyer et al. 2017, to point out the significance of plastic waste generation in the packaging industry.

Packaging Generates Almost 50% of Plastic Waste

 A lot of people are trying to use less single-use straws and bottles but I’m not sure they realize the scope. That doesn’t do anything unfortunately

The only way we can make a meaningful change with our plastic pollution is if large corporations find an alternative to single use plastic packaging. Plastic is an incredibly useful material and has proved to be cheaper and greener to produce. But even recycling some plastics cause more waste and unfavorable byproducts than the original production and most plastics simply just don’t break down in a landfill. Vicious loop indeed. Production of plastic is good, but using it is bad. Relatively speaking of course, ideally not using plastics at all would be the solution. But how would we package stuff, really? That’s one hell of a problem to solve.

Nominal and real historical gold & silver yearly prices since 1791


In this dataset you can find real and nominal silver & gold prices since 1791 to 2020. The explanation of the differences between real and nominal prices are:

· Nominal values are the current monetary values.
· Real values are adjusted for inflation and show prices/wages at constant prices.
· Real values give a better guide to what you can actually buy and the opportunity costs you face.

Example of real vs nominal:

· If you receive an 8% increase in your wages from £100 to £108, this is the nominal increase.
· However, if inflation is 2%, then the real increase in wages is (8-2%) 6%.
· The real wage is a better guide to how your living standards changes. It shows what you are actually able to buy with the extra increase in wages.
· If wages increased 80%, but inflation was also 80%, the real increase in wages would be 0% – in effect, despite the monetary increase in wages of 80%, the
amount of goods and services you could buy would be the same.

Datasets here and here

U.S. Consumer Product Safety Commission Product-Related Injury Data


Here is an analysis-ready version of the United States Consumer Product Safety Commission’s National Electronic Injury Surveillance System (NEISS) data from 2016-2020.

The raw data can be found here

The repository also links to the R script used for cleaning the data. The major data cleaning steps involved merging multiple years of data (originally need to download year-by-year as excel files) and translating numerical codes to more descriptive values (e.g. injury type 67 to “Electric shock”). This involved quite a bit of careful alignment across years of data.

Some key data characteristics:

  • More than 1.5M records of product-related injuries

  • Five complete years of data

  • Categorical columns indicating (1) which product(s) were involved in the injury; (2) which body part(s) were harmed; and (3) what the diagnosis was

  • Weights to extrapolate from individual records to nationally-representative estimates

  • Narrative summaries of each incident (I think there’s a lot of potential for some kind of NLP project with these summaries).

Projects the author has done with the data so far (more self-promotion, and hopefully some inspiration):

Public Bid Dataset – with In-Database Analytics

Question: I have been researching some science problems that could be answered with queries and analysis of large or big datasets from public sources in climate, environmental data, energy, utilities, infrastructure, astronomy, economics, labor and industry, education, sociology, and health.

Probably the largest obstacle in many of these public datasets is the inability to conveniently run ad hoc analyses on just the data you need. Often the data lives in massive stores of file archives instead of databases.

Most convenient would be datasets already stored in a database that has some in-database processing and analytics available to aggregate or filter the data being queried before a data transfer.

Are there any public large datasets with such a convenient interface or API? The best I know of is perhaps:

-Socrata SODA API for mixed/misc. gov data

-CIA Factbook API

-FRED API and web viz for economic data

-Google Finance API API API (forecasts/alerts only)

-Skywatch API

-USGS Earthquakes API


-openFDA API



-John Hopkins COVID-19 API

-Google ngram API

-Kaggle (usually deprecated/non-updated sets)

-AWS Open Data (no free basic processing at all)

-Bigquery Public Datasets (1TB of free queries, 1TB scans is quite limiting)

but most of these are extremely basic =match filters. I’m looking for other better examples before investing time to transfer large amounts of data just to filter other datasets down.


You can do this on; we saw this same problem and built a platform to let you query across real databases using SQL. So, for example you can take the NYTimes COVID data: nytimes_covid/And the JHU COVID data: csse_covid_19_

And you can write SQL that joins them by FIPS code:

  state, county, date, filename, cases, 
   "bitdotio/nytimes_covid"."us_counties".deaths AS nytimes_deaths, 
   "bitdotio/csse_covid_19_data"."csse_covid_19_daily_reports_us".deaths AS csse_deaths 
   "bitdotio/nytimes_covid"."us_counties".fips=6059 AND 
    AND date=last_update::date

Looking for datasets on the current wildfires in the western US states



According to the author, They have a real time map available. Some things I was thinking would be interesting..

Historic trend of fire containment. Ex, as the number of fires increase, I would expect the time to fully contain it would also increase.

Rate of spread. Are fires spreading more quickly.

Quantity and size distribution.

Brain Tumor Segmentation Dataset

The author uploaded a dataset of MRI Scans for brain tumor segmentation. It is the training set for the BraTS competition for the years 2018, 2019 and 2020. The data contains MRI scans and expert segmentations for HGG and LGG (high grade and low grade gliomas), as well as survival data.

It can be used for tumor type classification, tumor segmentation and survival analysis.

All Digitized Texas Appeals Court Cases Since 1900 – 12GB – 696,036 cases

Kaggle dataset page

Scope of Data

  • All electronically-available Texas Appeals Court cases filed since 1900 (as of 2021-08-01).

  • Courts included: Texas Supreme Court, Court of Criminal Appeals, 14 Appeals Courts (regional)

  • Total cases: 696,036.

  • Full dataset approx 12GB.

  • Sample dataset approx 10MB.

  • Download 500 sample rows or full dataset — in either SQL or JSON format.

  • Data source: here

  • Aggregated by: here

  • Parsed fields include caseId, createdAt (Unix timestamp), siteCaseNum, courtKey, and httpReq.

  • Detailed case information is not parsed within each case currently, but can be parsed from standardized HTML structure.

  • Sample case from data source

  • Court structure of Texas

Case Count by Court

Court Case Count Court Key
Texas Supreme Court 65,945 cossup
Texas Court of Criminal Appeals 242,915 coscca
Texas Court of Appeals #1 46,663 coa01
Texas Court of Appeals #2 34,458 coa02
Texas Court of Appeals #3 24,629 coa03
Texas Court of Appeals #4 33,469 coa04
Texas Court of Appeals #5 69,112 coa05
Texas Court of Appeals #6 12,206 coa06
Texas Court of Appeals #7 17,136 coa07
Texas Court of Appeals #8 16,180 coa08
Texas Court of Appeals #9 18,710 coa09
Texas Court of Appeals #10 14,550 coa10
Texas Court of Appeals #11 13,058 coa11
Texas Court of Appeals #12 14,366 coa12
Texas Court of Appeals #13 26,440 coa13
Texas Court of Appeals #14 46,199 coa14

OSDG Community Dataset | Labelled text excerpts with relation to the UN SDGs

From the authors: We are sharing an open OSDG Community Dataset (OSDG-CD) on our GitHub. The dataset contains thousands of text excerpts labelled by citizen scientists from around the world with respect to the UN Sustainable Development Goals (SDGs).

The data can be used to derive insights into the nature of SDGs using either ontology-based or machine learning approaches.

OSDG-CD is a direct contribution of hundreds of volunteers who have already taken part in the OSDG Community platform citizen science exercise. The OSDG Community Platform is an ambitious attempt to bring together volunteers and subject matter experts from all around the world to create a large and accurate source of textual information on SDGs.

How does it work? We use publicly available texts such as publications, reports and other written data sources. Each text is broken down into smaller pieces of paragraph length, and these smaller pieces are then labelled by the Community volunteers.

We are making this data open to help researchers discover new insights into and meaningful connections among Sustainable Development Goals. We would like to know what you discover in the data. So do not hesitate to share with us your outputs, be it a research paper, a machine learning model, a blog post, or just an interesting observation. If you are using the dataset in a research paper, you can attribute the dataset as OSDG Community Dataset v2021.07.

Data normalization: Z- score the intuitive way

This article explains what’s Z-score and how it makes a difference to our datasets.

#dataanalytics #machinelearning #analytics #visualization #datasets

Largest LEGO object detection dataset (top 600 parts)

The author scripted Blender to generate a synthetic dataset for 600 unique lego parts with multiple parts per image resulting in 900,000 labeled class instances!

Download it here: 

What’s cool about this dataset:

  • It’s the largest publicly available LEGO dataset for object detection

  • Uses SoTA domain randomization techniques to bridge the sim-to-real gap

  • Cheap to generate more data with DreamFactor

  • You can train an image detection ML model that can detect different lego parts

How did you script blender to make you Lego pieces? And where can I learn this magic? Answer

The component words for Pokemon names dataset

Link to the dataset

Posting this here to be more visible to a Google search on the off chance someone else could use it. It was used to generate Pokemon names for an AI hobby project I worked on some months ago: 

The source for chosen words was Bulbapedia. The dataset had to be compiled manually as the English name origins didn’t lend themselves well to being scraped.

Fake news data set with author name: dataset request

The author is looking for a data set with these fields: [‘author’, ‘text’, ‘label’ (fake or real)] like this one

The U.S. Gender Pay Gap: Visualized by Professions and its pay.

r/dataisbeautiful - [OC] The U.S. Gender Pay Gap: Visualised by Professions and its pay.

Data Source – Women in the labor force: a databook (table 18)

Program: Google Data Studio (scatter plot); Figma (design) See data (with plot labels).

Tile cartogram of annual CO2 emissions by country (2019 data)

r/dataisbeautiful - [OC] Tile cartogram of annual CO2 emissions by country (2019 data)

From the author:

This map rescales each country by its CO2 emissions, rounded to the nearest 10 megatons. I did my best to preserve country shape and relative locations. Each square is 10 Mt of CO2 emitted in 2019. Countries that did not reach 5 Mt were lumped together with other countries as black squares.

Data is from here. This was made in a combination of GIMP, Python, and Inkscape.

Climate change policies around the world

From the author: This chart was created for the Policy chapter of the Renewables 2021 Global Status Report and is based on data from the World Bank, Energy Climate Intelligence Unit, IEA Global Electric Vehicle Outlook and the REN21 Policy Database. For more information read Chapter 02 (Policy Landscape) of the report.

British Newspaper Archive (44,346,920 Pages Dating from the 1700s)

British Newspaper Archive (44,346,920 Pages Dating from the 1700s)

All Time NBA Team Win %’s (Playoffs vs Regular Season)

r/dataisbeautiful - All Time NBA Team Win %'s (Playoffs vs Regular Season) [OC]

The data is from wikipedia and the graphic was made with R

Source: Here


Histomap: Visualizing the 4,000 Year History of Global Power

histomap timeline

Life expectancy at birth across the US, the EU, India, and China. Data for 2019.

For comparison, in ancient Greece times life expectancy was 25 years, in medieval Europe it was 35 years, in early 19th century England it was 40 years, and in 1950 world average life expectancy was 45 years

r/dataisbeautiful - Life expectancy at birth across the US, the EU, India, and China. Data for 2019. For comparison, in ancient Greece times life expectancy was 25 years, in medieval Europe it was 35 years, in early 19th century England it was 40 years, and in 1950 world average life expectancy …

Source: Here


Kings and Queens of England and Great Britain (by name, dynasty, gender)

r/dataisbeautiful - by name

r/dataisbeautiful - by dynasty

r/dataisbeautiful - by gender


tool: tableau

Ronaldo vs Messi when they were Trending on Twitter Worldwide

r/dataisbeautiful - [OC] Ronaldo vs Messi when they were Trending on Twitter Worldwide ⚽️

Author: The VisualizED

Data Source: Twitter API.
Visualization generated by my Application
Every time Cristiano Ronaldo and Lionel Messi were trending on Twitter in the Year 2020 📅
Full HD Video  📹
🟢 Cristiano Ronaldo was trending 168+ Times in the Year 2020
#Ronaldo Trends with an average of 70.8K (Thousands) Tweets
Find more on The Visualized Twitter Timeline of Cristiano Ronaldo
93.5M Followers Cristiano 📊
🔴 Lionel Messi was trending 245+ Times in the Year 2020
#Messi Trends with an average of 97.3K (Thousands) Tweets
Find more on The Visualized Twitter Timeline of Lionel Mess
3M Followers TeamMessi 📊
Find what’s currently Trending Worldwide trending


Number of people killed in Afghanistan over the years in terrorist attacks

r/dataisbeautiful - [OC] Number of people killed in Afghanistan over the years in terrorist attacks

Author – Source of the dataGlobal Terrorism Data, 

Tool – Python, Altair


Carbon Free Energy Generation in the United States (1990-2018)

This visualization showcases the proportion of energy generation in each state by carbon and carbon-free energy sources. A greener shade correlates to a higher proportion of green energy generated in that state. Let me know any suggestions or insights you might have! Also, would energy consumption data be more interesting than energy generation? Let me know!

The Pacific Northwest is a bright light of non-carbon energy in the form of nuclear.

Also, S/O to that midwestern corn and its role in the biofuels industry.

source – tools

100 biggest companies by market capitalization

r/dataisbeautiful - 100 biggest companies by market capitalization [2782x2000] [OC]

Source: PwC, 2021 Map made with QGIS and Adobe Illustrator

Full article here.

Feel free to follow the author on Instagram or Twitter for more maps.

Top 10 users with the Highest Reputation in Stackoverflow


Author: Nervous_Biscotti593

Data Source : StackOverflow . Visulaization made using python. Orginally appeared in my Youtube Channel Top Ten over time

r:Number of people killed in Afghanistan over the years in terrorist attacks

r/dataisbeautiful - [OC] Number of people killed in Afghanistan over the years in terrorist attacks

Author: here

Source of the dataGlobal Terrorism Data, 

Tool – Python, Altair


Most notorious extremist groups in Afghanistan in terms of deaths caused

r/dataisbeautiful - [OC] Most notorious extremist groups in Afghanistan in terms of deaths caused

Author: here

Source of the data – Global Terrorism Data
Tool – Python, Altair

Top 10 Winning Teams in the Summer Olympic Games since 1980

The author used Olympic medals listed and used GGanimate in R to make this animation.

Japan electricity production 1914-2019

r/dataisbeautiful - [OC] Japan electricity production 1914-2019

Source: Source: Statistics Bureau of Japan “Historical Statistics of Japan”(1914-54)”FEPC INFOBASE 2020” page 23, (1955 2019) 

Tool: Excel

Linechart alternative:

Legality of cannabis (marijuana) across the US and the EU. August 2021 data 🇺🇸🇪🇺

r/dataisbeautiful - Legality of cannabis (marijuana) across the US and the EU. August 2021 data 🇺🇸🇪🇺🗺️ [OC]


Wikipedia1  Wikipedia2

Tools: MS Office

Same-sex marriage public support across the US and the EU. 2017-2019 data 🇺🇸🇪🇺

r/dataisbeautiful - Same-sex marriage public support across the US and the EU. 2017-2019 data 🇺🇸🇪🇺🗺️ [OC]

Source: 1 2 3

UK dark green (73%): (2012)

Switzerland light green (69%):  (2021)

Norway dark green (78%): Here

Andorra dark green (70%): Here

Iceland dark green (87%): Here

Serbia red (26%): Here

Bosnia red (13%): Here

As per this EU report, which should be where the other EU data came from, it’s 85%

World Index of Moral Freedom 2020

r/dataisbeautiful - [OC] World Index of Moral Freedom 2020

Source: 1 2 3

Tools: 2

Wikipedia’s description of the index:

The World Index of Moral Freedom is sponsored and published by the Foundation for the Advancement of Liberty, a libertarian think tank based in Madrid, Spain. The Index is an international index ranking one hundred and sixty countries on their performance on five categories of indicators:

  • religious freedom (taking into account both the freedom to practice any religion or none, and the situation of religious control on the state);

  • bioethical freedom (including the legal status of abortion, euthanasia and other practices pertaining to bioethics, like surrogacy or stem cell research);

  • drugs freedom (including the legal status of cannabis and the country’s general policy on hard drugs);

  • sexual freedom (including the legal status of pornography and sex services among consenting adults, and the country’s age of sexual consent), and

  • family and gender freedom (including women’s freedom of movement, the legal status of cohabitation of unmarried couples, same sex marriage and the situation of transgender people).

What is moral Freedom?

The US score dropped significantly more between 2018->2020 than other country in the top 25% of the list. Anyone know what changed?

Instead of just guessing, here’s what changed in the ranking between the 2018 version and the one from 2020:

  • The absolute score decreased from 79.15 to 73.68

  • The religion freedom indicator remained almost the same at 97.13 vs 97.12

  • The bioethical freedom indicator decreased slightly from 89.38 to 88.13

  • The drugs freedom indicator increased significantly from 45.75 to 65.18

  • Sexual freedom decreased dramatically from 73.50 to 30.00

  • Gender & family freedom decreased slightly from 90.00 to 88.00

The 2020 report attributes some amount of the loss to methodological changes (most severely impacting Cambodia’s ranking), but the decline seems to be driven primarily by the sexual freedom indicator. Here’s what the 2020 report has to say on that category:

Sexuality indicators

How free are sexual intercourse, pornography and the provision of sex services

As the sexual revolution keeps spreading to reach all places, the amount of government interference provides useful information on a country’s individual freedom on moral decisions. In this category, indicator weights are more distributed: 40% is allocated to the free consumption of pornographic content. This is significant because censorship still plays a role in many countries, while technology makes it increasingly harder for states. 35% is reserved to the legal status of prostitution, and 25% to the legal age of sexual consent.

Maybe this: 

It passed in 2018 and made it a lot harder to advertise prostitution online

The source doesn’t even break down the scores. I don’t understand how there could be such a discrepancy between France and Spain for example, anyone got a clue?

Edit: nvm, it does, it’s just weirdly formatted. The gist is France heavily criminalizes drugs, Spain does not. All of the other differences between the two countries are mostly ignored by this study. Besides French draconian drug laws, bioethical freedom may account for the discrepancy too. Euthanasia in Spain is legal and publicly funded, framed within the public health system. In France, not so much.


Deaths from all causes in the United States: year-to-year comparison 2015-2021 (through week 30)

r/dataisbeautiful - [OC] Deaths from all causes in the United States: year-to-year comparison 2015-2021 (through week 30)

SourceCDC (export weekly deaths by state and age file)

Chart: Excel

Average alcohol consumption by country

r/dataisbeautiful - [OC] Average alcohol consumption by country

Source: WHO.

Tool: Tableau

The author posted on his blog as well

2021 World Happiness Index

r/dataisbeautiful - [OC] 2021 World Happiness Index


Finns: Often pessimistic by nature and reserved about their emotions, drink too much, it’s dark, the winters are cold and hard psychologically. Also Finns: We are the happiest!

The discrepancy comes from the fact that the happiness study is, paradoxically, not actually about happiness. The World Happiness Report is not an emotional study at all, it is rather a look at the quality of life (GDP, education, health, security, freedom,…) around the world.

It should be labeled as potential happiness, not actual happiness, because actual happiness is impossible to measure. But I wouldn’t say measuring smiles in the street is a good way either, in many cultures smiling is customary, not necessarily a indication of happiness.

Happiness can be measured by self reporting in a survey. How happy are you with life right now 1-10? It’s a subjective data point but happiness is also subjective after all.

Measuring smiles in the street as a way to measure happiness seems insanely ridiculous.

Self-reporting is also a weird thing. People tend to measure their life against their surroundings and are affected by small-scale personal events.

If I lived my entire life in safety and comfort, I am most likely to take those things for granted and not consider them as contribution to my happiness. My personal problems on the other hand can affect my emotional state quite a lot. If my mom is ill or I’ve had a bad fight with my best friend, I would be far from happy no matter where I live.

 World Broadband Internet Speed 2021

r/dataisbeautiful - [OC] World Broadband Internet Speed 2021

Source: 1 2

Tools: 1 2

Data originates from 1

Internet Speed is understood as average download speed in Mbps.

 The world’s most expensive cities

r/dataisbeautiful - [OC] The world's most expensive cities

Source:  This was originally published by The Hustle here, who I work for. The data was collected from this Economic Intelligence study.

Racial tolerance around the globe


Source: Twitter

Data Source

COVID Deaths vs Obesity by Country (R squared = 0.33)

r/dataisbeautiful - COVID Deaths vs Obesity by Country (R squared = 0.33) [OC]

Sources: for COVID-19 and for obesity.

Range of outcomes vastly increases for populations over 15% obese.

Yearly road deaths per million people across the US and the EU.

This calculation includes drivers, passengers, and pedestrians who died in car, motorcycle, bus, and bicycle accidents. 2018-2019 data 🇺🇸🇪🇺

r/dataisbeautiful - Yearly road deaths per million people across the US and the EU. This calculation includes drivers, passengers, and pedestrians who died in car, motorcycle, bus, and bicycle accidents. 2018-2019 data 🇺🇸🇪🇺🗺️ [OC]

Source: 1 2

Tools: MS Office

I actually found an interesting graphic here that breaks down where most of our crashes and fatalities come from! It doesn’t include winter conditions as a factor, so I can’t use that information, but according to this: single car alcohol related accidents are our #1 killer. We have a rampant drinking and driving problem here.

Classic Machine Learning Algorithms

Each chapter in this book corresponds to a single machine learning method or group of methods. Each method includes the elaboration of Concepts and the implementation of Python Codes (construct algorithm from scratch).

Credit: Danny Friedman

Download it here

Deep Learning by Andrew Ng

Download it here

One of the most comprehensive Deep Learning books in 2021

Download it here

#machinelearning #dataanalysis #datascience #python #technology

Amazon Machine Learning


Credit: Amazon Web Services

Direct Download link here

Learn SQL with Practical Exercises

SQL is definitely one of the most fundamental skills needed to be a data scientist.

This is a comprehensive handbook that can help you to learn SQL (Structured Query Language), which could be directly downloaded here

Credit: D Armstrong

How important in life is family, work, friends, leisure, religion, and politics? 

Answers from the World Values Survey. Results from each region of the world in separate images.

r/dataisbeautiful - [OC] How important in life is family, work, friends, leisure, religion, and politics? Answers from the World Values Survey. Results from each region of the world in separate images.

r/dataisbeautiful - [OC] How important in life is family, work, friends, leisure, religion, and politics? Answers from the World Values Survey. Results from each region of the world in separate images.

r/dataisbeautiful - [OC] How important in life is family, work, friends, leisure, religion, and politics? Answers from the World Values Survey. Results from each region of the world in separate images.

r/dataisbeautiful - [OC] How important in life is family, work, friends, leisure, religion, and politics? Answers from the World Values Survey. Results from each region of the world in separate images.

r/dataisbeautiful - [OC] How important in life is family, work, friends, leisure, religion, and politics? Answers from the World Values Survey. Results from each region of the world in separate images.

Data from the World Values Survey and European Values Survey, wave 7. All data (as well as from previous waves) can be accessed and analyzed online here.

In general about 1000-3000 people answered the survey in each country. Many countries, for instance India, did not take part in the survey this wave. Some have however been part of previous waves, and their answers can be analyzed online.

Made with R with the ggplot and ggflags packages.


Data Visualization: A comprehensive VIP Matplotlib Cheat sheet

Credit: Matplotlib

Download it here

Machine Learning Course by Microsoft

In this course you will learn:

Core concepts of machine learning
The history of ML
ML and fairness
Regression ML techniques
Classification ML techniques
Clustering ML techniques
Natural language processing ML techniques
Time series forecasting ML techniques
Reinforcement learning
Real-world applications for ML

-Start with a pre-lecture quiz
-Read the lecture and complete the activities, pausing and reflecting at each knowledge check.
-Try to create the projects by comprehending the lessons rather than running the solution code; however that code is available in the /solution folders in each project-oriented lesson.
-Take the post-lecture quiz
-Complete the challenge
-Complete the assignment

It is a pretty comprehensive course with all the material you need to learn. Enjoy!
Check it out here: 

Download it here

Free, cleaned database of US Schools

At DoltHub, they have completed a US Schools data bounty. They built a free, cleaned database of US Schools.

Dataset: Here


Database to collect US Schools identifying information, K through 12 and Post Secondary.

The Rosenbrock dataset suite for benchmarking machine learning algorithms and platforms

This post introduces the Rosenbrock function to measure a machine learning platforms’ data capacity, training speed, model accuracy, and inference speed. Rosenbrock datasets have a strong consistency and do not have noise. For this reason, it is a powerful alternative to datasets from popular repositories for benchmarking.

Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)
  1. Prevalence of violent crime
  2. Cost of living. I want to know given $X USD, how far that gets you for rent, groceries, eating out, etc. There seems to be tons of stuff that tries to estimate this but what’s the best one? Is the Big Mac index a good reference or a meme?
  3. Average historical temperature, and precipitation (rain) in January
  4. Whether it’s land-locked or coastal (for beaches. I’ve been land-locked my whole life.)
  5. Native languages spoken
  6. Population density

Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. 

Dataset: Here

World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet.

A Dataset of Cryptic Crossword Clues

A dataset of cryptic crossword clues, collected from various blogs and publicly available digital archives.

It’s a little over half a million clues from cryptic crosswords published in British newspapers over the past twelve years.

Dataset here

The Upworthy Research Archive, a time series of 32,487 experiments in U.S. media

The dataset is available under the Creative Commons Attribution 4.0 International License on the Upworthy Research Archive website at, with an archival copy on the Open Science Framework20. The website include a description of each column in the data, a list of resources and papers based on the dataset, and guidance for meta-analyzing the included experiments. The data are stored using a plain-text, ASCII-encoded, comma-delimited CSV file.

Power BI for Intermediates

Download it here

Credit: Soheil Bakhshi and Bruce Anderson

Number of Open Missing Persons Cases per 100k People in Each US State

r/dataisbeautiful - [OC] Number of Open Missing Persons Cases per 100k People in Each US State

SourcesThe National Missing and Unidentified Persons System (NamUs), US Census Bureau 2020 Population Data

Tools: QGIS, Excel

Notes from the author: This map depicts the number of open missing persons cases per 100k people in each US State as of September 23, 2021. NamUs collects data from law enforcement agencies and provides data and services to forensic investigators to locate and identify missing persons and unidentified bodies. It is important to note that while efforts are currently underway for more accurate counts at local, state, and national levels, the true number of open missing persons cases among indigenous persons is unknown due to systemic issues. Of the current number of open missing persons cases, approximately 3.6% are for indigenous persons but this number is estimated to be higher. The ongoing Gabby Petito investigation inspired me to look further into this topic and I was personally surprised to see the shocking numbers of missing persons in many of these states. I encourage people to look through the database provided to understand the issue further and to read about the efforts to ensure more accurate counts of the missing indigenous persons in this country. As always, I am open to constructive feedback and questions about this map. So please leave a comment or question and I will try my best to answer you soon. Thank you for reading and please be kind and look out for each other. Stay awesome Reddit.

U.S. Automobile Fatalities, 1920-2020

r/dataisbeautiful - U.S. Automobile Fatalities, 1920-2020 [OC]

Author: /u/CognitiveFeedback!

Data from National Safety Council. Created in Excel/Illustrator. Full description found here

Brazilian Racial Distribution by Region

r/dataisbeautiful - [OC] Brazilian Racial Distribution by Region

Source: Here and Here

Race in Brazil is set by self declaration.

Where and when were Lewis Hamilton’s 100 victories won

r/dataisbeautiful - [OC] Where and when were Lewis Hamilton's 100 victories won

Source: Here


Visualisation: R (ggplot2), Affinity Publisher

Data wrangling: Postgres, Python

Data: Ergast API

More than thirty years fighting against the HIV/AIDS epidemic. Evolution and Milestones.

r/dataisbeautiful - [OC] More than thirty years fighting against the HIV/AIDS epidemic. Evolution and Milestones.

Source: IHME’s Global Burden of Disease Study 2019 [link]; Fauci et al. JAMA 2019 [link]; Vela et al. AIDS 2012 [link]

Tools: R

The HIV is one of the most severe epidemics in human history. It disproportionally affects demographic groups with limited access to steady and quality healthcare such as racial/ethnic minorities, people with alternative sexual orientations, people who inject drugs, and people living in poverty. Only a coordinated, global action, has made possible the improvements that now, after over 30 years of fighting the epidemic, we can see. Ending the HIV/AIDS epidemic requires innovative solutions to understand the healthcare access barrier in each setting and finally provide care (for diagnostics, preventions, and sustained antiretroviral therapy) to all people-at-risk and living with HIV.

For more details of the evolution of the epidemic and the actions deployed to contain it, see this very interesting timeline created by  and here

 The top goal scorers in 40 years of elite football (soccer)

The top goal-scorers in elite club football since 1980
The top goal-scorers in elite club football since 1980

Source: goal-lines/all-comps

Tool: Tableau

Interactive visualization:



This viz aggregates all passes on a grid with 1 meter step. It means, all distances and passes on a square meter of the football pitch represent by a line with average length and direction. So this viz is an ‘averaged’ picture.

The data includes:

– Champion League 1999 – 2019

– FA Women’s Super League 2018 – 2020

– FIFA World Cup 2018

– La Liga 2004 – 2020

– NWSL 2018

– Premier League 2003 – 2004

– Women’s World Cup 2019

Figures are for all senior club matches played in a league or cup in England, Spain, Italy, Germany or France, or in international tournaments such as the Champions League, Europa League and Cup Winners’ Cup.

The 186 players shown are those who have scored at least 20 league goals in any single season of one of Europe’s big five leagues since 1990, and have a career-average goal-scoring rate across senior matches in these five countries of at least 0.4 non-penalty goals per 90 minutes.

Top 40 single-year* goalscoring performances since 1980

If you liked this, you might like The top scorers in Champions League history.

Economic prosperity and soccer prowess

The author made the visualization with ggplot2, with data from and the World Bank.

Breakdown of worldwide greenhouse gases emissions by source, 2019

Post image

Source: Here

Author: Here

Data from: IEA, Global Carbon Project, IPCC, FAO, World Resources Institute

Viz Made with Google slides

Some interesting comments:

1- I find it crazy that there’s about 30,000 planes or so around the world and about 1,500,000,000 personal cars, that’s 50,000x more, yet cars only produce 3.5x as much pollution. Even crazier is how cargo ships, who spew out some of the most foul crude oil emissions, produce the same amount as planes. I would have never thought lol

2- Utility-scale solar is increasingly cheaper than the operational expense of maintaining a coal plant, and grows ever more so. Economics is no longer the central problem for coal; the obstacle is entrenched fossil capital throwing all the political heft it can behind a losing hand (as well as, to a certain extent, pressure from military planners for autarky)

3- In Canada we have an issue where emissions from almost all sources and places going down is counter acted by emissions from Alberta and Saskatchewan going up, mostly due to their fossil fuel industries. Where in this graphic would the emissions created by the extraction, processing and distribution of fossil fuels go? In the other industrial usages categories?

4- Switching road vehicles to EVs will get rid of ~6 Gt.

(increased direct electricity offset by reductions in refining electricity, reductions in fugitive emissions, reduction in ocean freight emissions).

This is underway, but the more we push (as individuals and as voters) the sooner it can happen.

History of teen fertility rates in the U.S.

r/dataisbeautiful - [OC] History of teen fertility rates in the U.S.

Source: here

Author: here

Data from CDC WONDER query. Visualization with Tableau.

Some notable comments:

1- Halved in a decade? What was it like before? Presumably on a decline as steep as it is now?

2- It’s fascinating to me as I don’t see this as being so different from 2010. I guess sometimes we’re just blind to the short term changes going on around us.

3- We are living in the lowest violence period in history. We have included lots of stuff that used to be accepted ( like child abuse and wife beating) and it’s still way down. Kids today are just so much better than old people. Old people ? They couldn’t wait to get knocked up!

4- It’s not really that they couldn’t wait to get knocked up. It’s generally either that they were actually capable of making an income necessary to support a family way younger than today if we are looking at 50s and 60s data when the average marriage age was at its lowest recorded in US history, or they didn’t want to get pregnant but didn’t have sex education or birth control. As far as violence goes unfortunately the pandemic era data is looking worse that 2019.

Share of men and women who smoke daily per country

r/dataisbeautiful - Share of men and women who smoke daily per country [OC]

Source: Here

Data source: Eurosta, CDC, StaCan, INCA, AIHW, ONS

Highest-Paid Athletes Of All Time

r/dataisbeautiful - [OC] Highest-Paid Athletes Of All Time

Source: Here

Data Source according to the author::

This graph represents the highest-paid athletes of all time as of November 2021 adjusted for inflation.

Thanks to Sportico and Kurt Badenhausen for the data and information to create this graph. Among the sources used were confidential interviews data from Forbes on earnings from endorsements, memorabilia and appearances, as well as payments received for participating in the sports the highest earners dominated. Forbes also looked at the length of careers and made adjustments for inflation.

Through endorsements, off the court investments, and business dealings these athletes have amassed a fortune that will live on with their legacy for generations. Obviously and not surprising is MICHAEL JORDAN at the top who many consider to be the greatest athlete of all-time, followed by Tiger Woods who is often listed as the best golfer of all-time, two historically great professional golfers, and various other sports stars that dominated their respective sports.

Fun Fact: No other professional sports team has more members on the list than the Los Angeles Lakers – thanks to LeBron James. Nearly half of those on this graph are still performing today – some even in their prime.

Original StatsPanda Visualization

Source: Sportico, Forbes

Tool: Canva/ Adobe Prototype/ Microsoft Excel/ Magic *wink wink

The Data Of Discrimination: Jim Crow 1865 – 1960

r/dataisbeautiful - The Data Of Discrimination: Jim Crow 1865 - 1960

r/dataisbeautiful - The Data Of Discrimination: Jim Crow 1865 - 1960

Source: Here