Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/erikgregorywebb/awesome-list
Datasets | Visualizations | Packages & Libraries
https://github.com/erikgregorywebb/awesome-list
List: awesome-list
Last synced: 16 days ago
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Datasets | Visualizations | Packages & Libraries
- Host: GitHub
- URL: https://github.com/erikgregorywebb/awesome-list
- Owner: erikgregorywebb
- Created: 2019-10-13T02:54:22.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-03-23T02:25:55.000Z (9 months ago)
- Last Synced: 2024-05-22T19:06:52.178Z (7 months ago)
- Homepage:
- Size: 56.6 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-list - Datasets | Visualizations | Packages & Libraries. (Other Lists / PowerShell Lists)
README
## Datasets
- [Lionbridge Top 10 Reddit Datasets for Machine Learning](https://lionbridge.ai/datasets/top-10-reddit-datasets-for-machine-learning/)
- [Seinfeld Scripts](http://www.seinfeldscripts.com/seinfeld-scripts.html)
- [Fortune 500 Lists (1955-2018)](https://github.com/cmusam/fortune500)
- [MIT Election Data](https://electionlab.mit.edu/data)
- [County Presidential Election Returns 2000-2016](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)
- [US County Demographics Data by Year](https://github.com/rwright88/counties)
- [Wikipedia Page Statistics](https://tools.wmflabs.org/pageviews/?project=en.wikipedia.org&platform=all-access&agent=user&start=2016-02&end=2019-09&pages=Goldman_Sachs|UBS|Bank_of_America|Morgan_Stanley|JPMorgan_Chase|Credit_Suisse|Citigroup|Deutsche_Bank|Wells_Fargo)
- [NFL Play-by-Play](https://www.dolthub.com/repositories/Liquidata/nfl-play-by-play/data/master/teams)
- [GDP Metrics by State](https://www.bea.gov/data/gdp/gdp-state)
- [Realtor.com Real Estate Data Library](https://www.realtor.com/research/data/)
- [Apple Mobility Trends](https://www.apple.com/covid19/mobility)
- [The Ultimate Dataset Library for Machine Learning | Lionbridge AI](https://lionbridge.ai/datasets/ultimate-dataset-aggregator-for-machine-learning/)
- [US State Migration Flows](https://www.census.gov/data/tables/time-series/demo/geographic-mobility/state-to-state-migration.html)
- [Supreme Court Cases](https://github.com/EricWiener/supreme-court-cases)
- [10M+ Film/TV Reviews](https://components.one/datasets/film-reviews-208000-critic-reviews-and-10-7-million-user-reviews/)
- [2020 SBA Paycheck Protection Program Loans](https://home.treasury.gov/policy-issues/cares-act/assistance-for-small-businesses/sba-paycheck-protection-program-loan-level-data)
- [Open Compensation Data | Levels.fyi](https://www.levels.fyi/)
- [Data (Science) Job Postings](https://www.reddit.com/r/datasets/comments/hrut53/data_science_jobs/?utm_source=share&utm_medium=ios_app&utm_name=iossmf)
- [Hedge Fund Letter Archive](https://miltonfmr.com/hedge-fund-letters/)
- [Wikipedia List of Datasets for ML](https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research)
- [IPO Filings](https://www.ipomonitor.com/pages/ipo-filings.html?start=1&max=5000)
- [The Complete List Of Unicorn Companies by CB Insights](https://www.cbinsights.com/research-unicorn-companies)
- [Niche Places to Live](https://www.niche.com/places-to-live/)
- [General Conference Corpus](https://www.lds-general-conference.org/)
- [Storytelling with data public data list](https://docs.google.com/document/d/1Ads4XsCjXmDrdGRgfmm_OgRdpFcl6Qhs6SOllNGyq7Y/edit)## Visualizations
- [Fortune 500 by location, industry](https://interactives.fortune.com/f500-dataviz-2019/index.html)
- [Flood Explorer (Chris Edwards)](https://chris3edwards3.github.io/reactapp-floodexplorer/)
- [Twitter "Average Happiness"](https://hedonometer.org)
- [US County Migration Flows](https://vannizhang.github.io/migration_flow_map/#)
- [FT Visual Vocabulary](https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary)
- [Visual Vocabulary: Tableau Edition](https://public.tableau.com/views/VisualVocabulary/VisualVocabulary?%3Aembed=y&%3Adisplay_count=yes&publish=yes&%3AshowVizHome=no)
- [Political Party Demographics](https://www.people-press.org/2018/03/20/1-trends-in-party-affiliation-among-demographic-groups/)
- [Robintrack](https://robintrack.net/leaderboard)
- [NBA Salaries (Zak Geis)](https://public.tableau.com/profile/zakgeis#!/vizhome/SalariesoftheNBA/NBASalaries)
- [Music Genre Ebb & Flow (Robert Janezic)](https://public.tableau.com/profile/robert.janezic#!/vizhome/Feedbackv2/EbbFlow)
- [McBroken](https://mcbroken.com/)
- [Commuter Regions of the United States](https://www.reddit.com/r/dataisbeautiful/comments/kqrvz0/commuter_regions_of_the_united_states_oc/?utm_source=share&utm_medium=ios_app&utm_name=iossmf)
- [Reinventing pizza franchising with tech and transparency](https://dodopizzastory.com/)
- [Mozilla 2020 Internet Health Report](https://2020.internethealthreport.org/slideshow-internet-health/#1)
- [Falx: Visualization by Example](https://rise.cs.berkeley.edu/blog/falx-visualization-by-example/?utm_campaign=Data_Elixir&utm_source=Data_Elixir_336)
- [Mormon Billions](https://mormonbillions.com/)
- [Weather Spark](https://weatherspark.com/)
- [Crypto Fear & Greed Index](https://alternative.me/crypto/)
- [83 Charts to Describe the Hidden Financial Lives of Working Americans](https://static1.squarespace.com/static/53d008ede4b0833aa2ab2eb9/t/54878a58e4b0f57918c24718/1418168930635/83charts.pdf)
- [How Big Is Space?](http://www.bbc.com/future/bespoke/20140304-how-big-is-space-interactive/)
- [Tourists vs locals in San Francisco](https://twitter.com/paulg/status/1647915954137956354?s=20)## AI
- [OpenAI's DALL·E: Creating Images from Text](https://openai.com/blog/dall-e/)## Courses & Tutorials
- [Data Visualization by Dr. Andrew Heiss](https://datavizm20.classes.andrewheiss.com/content/)
- [blogdown Tutorial](https://bookdown.org/yihui/blogdown/)
- [Tableau DS Certification](https://www.udemy.com/course/tableau-desktop-specialist-certification/)
- [Algo Trading Strategy Library](https://www.quantconnect.com/tutorials/strategy-library/strategy-library)
- [MIT Data Science Visual Study Guides](https://github.com/shervinea/mit-15-003-data-science-tools)
- [Data Science Cheatsheet](https://github.com/aaronwangy/Data-Science-Cheatsheet)
- [Tableau Magic](https://tableau.toanhoang.com/)## Packages & Libraries
- [Access YouTube from R](https://trello.com/c/OZjm6l4u/94-access-youtube-from-r)
- [Google Trends (gtrendsR)](https://cran.r-project.org/web/packages/gtrendsR/gtrendsR.pdf)## APIs
- [News API](https://newsapi.org/)
- [Pokémon TCG Developers](https://pokemontcg.io/)
- [List of Real Estate APIs](https://gist.github.com/patpohler/36c731113fd113418c0806f62cbb9e30)## Videos
- [Boston Dynamics Dancing Robots](https://www.youtube.com/watch?v=fn3KWM1kuAw)## Other Resources
- [Free Icons - Noun Project](https://thenounproject.com/)
- [Google Icons](https://fonts.google.com/icons)
- [Sudoku Algorithm Visualizer (Python)](https://github.com/Mercrist/Sudoku-GUI)
- [Kellogg Super Bowl Ad Review](https://www.kellogg.northwestern.edu/news-events/super-bowl/results.aspx)
- [Social Explorer Census Data Dictionary](https://www.socialexplorer.com/data/ACS2010_5yr/metadata/?ds=ACS10_5yr)
- [Explained Visually (EV)](https://setosa.io/ev/)
- [Laws of UX](https://lawsofux.com/)
- [Texas A&M Geocoder](http://geoservices.tamu.edu/Services/Geocode/)