Visualization
- Books
- Tufte: The Visual Display of Quantitative Information:Not freely available, but perhaps the most influential text for the subject of data visualization. A classic that defined the field.
- Courses
- UC Berkeley: Visualization: UC Berkeley: Visualization: Graduate class on the techniques and algorithms for creating effective visualizations.
- Rice: Data Visualization: Rice: Data Visualization: A treatment of data visualization and how to meaningfully present information from the perspective of Statistics.
- Harvard: Introduction to Computing, Modeling, and Visualization: Connects the concepts of computing with data to the process of interactively visualizing results.
- School of Data: From Data to Diagrams: A gentle introduction to plotting and charting data, with exercises.
- Predictive Analytics: Overview and Data visualization: An introduction to the process of predictive modeling, and a treatment of the visualization of its results.
- Tools
- D3.js: Data-Driven Documents — Declarative manipulation of DOM elements with data dependent functions (withPython port ).
- Vega: A visualization grammer built on top of D3 for declarative visualizations in JSON. Released by the dream team atTrifacta, it provides a higher level abstraction than D3 for creating “ or SVG based graphics.
- Rickshaw: A charting library built on top of D3 with a focus on interactive time series graphs.
- modest maps: A lightweight library with a simple interface for working with maps in the browser (with ports to multiple languages).
- Chart.js: Very simple (only six charts) HTML5 “ based plotting library with beautiful styling and animation.
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