Visualization
# Resources
- https://github.com/fasouto/awesome-dataviz
- http://keshif.me/demo/VisTools
- The visualization universe
- Dataviz project
- UW Interactive Data Lab
- Flowing Data Tutorials
- http://www.coolinfographics.com/blog/2017/1/10/digital-marketing-tools-landscape.html
- https://www.analyticsvidhya.com/blog/2015/09/infographic-tools-data-visualization/
- https://visme.co/blog/examples-data-visualizations/
- https://towardsdatascience.com/3rd-wave-data-visualization-824c5dc84967
- What’s so hard about histograms?
- Dataviz tools
- Data visualization tools and books
- Python data viz tools
- Dataviz.tools: A curated guide to the best tools, resources and technologies for data viz
- Dashboard design (how-to)
- Python Data Visualization 2018 (Anaconda)
- Why So Many Libraries?: https://www.anaconda.com/blog/developer-blog/python-data-visualization-2018-why-so-many-libraries/
- Moving Toward Convergence: https://www.anaconda.com/blog/developer-blog/python-data-visualization-moving-toward-convergence/
- Where Do We Go From Here?: https://www.anaconda.com/blog/developer-blog/python-data-visualization-2018-where-do-we-go-from-here/
# Books
- Dataviz books
- #BOOK Fundamentals of Data Visualization (Wilke 2020)
- #BOOK Data Visualization (Healy 2020)
- #BOOK R Graphics Cookbook, 2nd edition
# Courses
- #COURSE Information Visualization (CS 465, Middlebury)
- #COURSE Data Visualization (CSE512, U Washington)
- #COURSE Data Science: Visualization (Harvard-edX)
- #COURSE Reading and interpreting data (Khan academy)
- #TALK 23 Visualizations and When to Use Them in 30 Minutes
- #TALK The Python Visualization Landscape (Vanderplas, Pycon 2017)
- #TALK Everything we know about how humans interpret graphics (Elliot 2016)
- #TALK Constructive Code Review (Rose, PyCon 2017)
# Code
- #CODE Matplotlib
- #CODE Seaborn
- #CODE Bokeh
- #CODE Plotly
- #CODE
Lightning
- Lightning is a data-visualization server providing API-based access to reproducible, web-based, interactive visualizations
- https://github.com/lightning-viz/lightning-python
- #CODE Perspective
- #CODE
D3.js
- http://chimera.labs.oreilly.com/books/1230000000345/index.html
- https://github.com/d3/d3/wiki/Tutorials
- https://blog.datazar.com/the-best-resources-when-learning-d3-js-7da4ba0a783e#.oyw1gyxzz
- https://learningd3.com/
- https://learningd3.com/blog/generative-art/
- http://blog.thedataincubator.com/2015/08/embedding-d3-in-an-ipython-notebook/
- https://datawanderings.com/2017/01/29/data-visualisation-from-scratch-with-d3-js-part-1-canvas-setup/
- D3 Tips and Tricks
- Blocks - database of examples
- Building a storytelling scroller with D3
- Interactive Data Visualization for the Web
- https://www.analyticsvidhya.com/blog/2017/08/visualizations-with-d3-js/
- PykCharts.js
- dc.js
- #CODE deck.gl (Uber) - deck.gl is a WebGL-powered framework for visual exploratory data analysis of large datasets
- #CODE Visdom (Facebook) - A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy
- #CODE Vega
- #CODE Altair
- #CODE Bqplot (Bloomberg) - Plotting library for IPython/Jupyter Notebooks
- #CODE
Chartify (Spotify)
- https://labs.spotify.com/2018/11/15/introducing-chartify-easier-chart-creation-in-python-for-data-scientists/
- Chartify is a Python library that makes it easy for data scientists to create charts.
- #CODE ggplot2 (for R)
- Graphs, networks:
- #CODE NetworkX
- #CODE Gephi
- #CODE Graph-tool
- #CODE igraph
- #CODE Graphviz
- Dashboards (webapps):
- #CODE Dash - Interactive, reactive web apps in pure python
- #CODE Redash
- #CODE Superset
- #CODE Shiny (for R)
- #CODE Pyxley - Python helpers for building dashboards using Flask and React
- #CODE Spyre
- #CODE Bowtie
- #CODE Stackimpact-python
- #CODE PyViz
- #CODE Ipyvolume
- #CODE Vaex