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https://github.com/fanny/data-vis

My collection of resources and other useful information for my personal studies of data visualization
https://github.com/fanny/data-vis

Last synced: 7 days ago
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My collection of resources and other useful information for my personal studies of data visualization

Host: GitHub
URL: https://github.com/fanny/data-vis
Owner: fanny
Created: 2019-09-18T13:54:43.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2019-12-18T23:57:57.000Z (over 4 years ago)
Last Synced: 2024-02-29T23:41:04.514Z (4 months ago)
Homepage:
Size: 143 KB
Stars: 12
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Lists

awesome-stars - data-vis

README

        # Data Visualization :bar_chart:

My collection of resources and other useful information for my personal studies of data visualization 

## Content :memo:

- [Miscellaneous :black_joker:](#miscellaneous-black_joker)

- [Visual encoding && Visual Vocabulary :eyes:](#visual-encoding-eyes)

- [Blogs && favourite sites :computer:](#blogs-computer)

- [Podcasts :headphones:](#podcasts-headphones)

- [React Libraries ⚛](#react-libraries-%EF%B8%8F)

- [Courses :mortar_board:](#courses-mortar_board)

- [Books :book:](#books-book)

- [Creative Coding Inspirations :art:](#creative-coding-inspirations-art)

- [Referencies](#) *COMING SOON*

### Miscellaneous :black_joker:

- [Visualization universe](http://visualizationuniverse.com)

- [DataViz for all](https://datavizforall.org/chart-design.html)

- [Google Charts](https://developers.google.com/chart/interactive/docs)

- [Cato Institute](https://github.com/glosophy/CatoDataVizGuidelines/blob/master/PocketStyleBook.pdf)

- [Nightingale Resources](https://docs.google.com/spreadsheets/d/1F1gm5QLXh3USC8ZFx_M9TXYxmD-X5JLDD0oJATRTuIE/edit#gid=1679646668)

- [City intelligence](https://data.london.gov.uk/blog/city-intelligence-data-design-guidelines/)

- [Microsoft Chart-Parts](https://microsoft.github.io/chart-parts/)

### Visual Encoding :eyes:

  - [Target process](https://www.targetprocess.com/articles/visual-encoding/)

  - [IBM Data Vis](https://www.ibm.com/design/v1/language/experience/data-visualization)

  - [Data Vis Catalogue](https://datavizcatalogue.com/index.html) 

  - [Visual Vocabulary](https://journalismcourses.org/courses/DE0618/Visual-vocabulary.pdf)

  

### Design Systems

- [Google Material Design](https://material.io/design/communication/data-visualization.html)

- [Shopify](https://polaris.shopify.com/design/data-visualizations#navigation)

- [SalesForce](https://lightningdesignsystem.com/guidelines/charts/)

- [Carbon](https://www.carbondesignsystem.com/data-visualization/chart-types/)

- [Adobe](https://spectrum.adobe.com/)

- [Adele](https://adele.uxpin.com/)

  

### Blogs :computer:

- [Eagereyes](https://eagereyes.org/)

- [Flowingdata](http://flowingdata.com/)

- [Information is beautiful](https://informationisbeautiful.net/)

- [Lisa Rost](https://lisacharlotterost.de/)

- [Pudding](https://pudding.cool/)

- [FiveThirtyeight](https://fivethirtyeight.com/)

- [Truth and beauty](https://truth-and-beauty.net/)

- [vis4net](https://www.vis4.net/blog/)

- [UW interactive data lab](http://idl.cs.washington.edu/papers/)

- [Data Visualization Society](https://www.datavisualizationsociety.com/resources)

- [Data to Viz](https://www.data-to-viz.com/caveats.html)

### React Libraries ⚛️

 - [Recharts](https://github.com/recharts/recharts) *Based on d3*

 - [Uber datavis](https://github.com/uber/react-vis)

 - [Victory](https://github.com/FormidableLabs/victory)

 - [Nivo](https://nivo.rocks/)

 - [VX](https://vx-demo.now.sh/)

 

### Creative Coding Inspirations :art:

 - [OpenProcessing](https://www.openprocessing.org/)

 - [Inspiring Online](https://inspiring.online/)

 - [DevArt](https://devart.withgoogle.com/)

 - [Google Experiments](https://experiments.withgoogle.com/collection/chrome)

 

### Courses :mortar_board:

 - [Pluralsight - Data Visualization: Best Practices](https://www.pluralsight.com/courses/data-visualization-best-practices) `$$`

 

### Books :book:

 - [Storytelling with data](https://www.amazon.com.br/Storytelling-Data-Visualization-Business-Professionals/dp/1119002257)

 

### Podcasts :headphones:

 - [DataHackers](https://open.spotify.com/show/1oMIHOXsrLFENAeM743g93?si=7_9SWHjNQDCPSoWXL4l_ZQ)`[PT-BR]`

 ### Referencies