# Learning resources

## Books

- [Design for Information](https://www.amazon.com/Design-Information-Introduction-Histories-Visualizations/dp/1592538061) by Isabel Meirelles.
- [The Best American Infographics 2014](https://www.amazon.com/Best-American-Infographics-2014/dp/0547974515) by Gareth Cook.
- [The Grammar of Graphics](https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448/) by Leland Wilkinson. Basic visualization theory.
- [The Visual Display of Quantitative Information](https://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142) by Edward Tufte.
- [The Wall Street Journal Guide to Information Graphics](https://www.amazon.com/Street-Journal-Guide-Information-Graphics/dp/0393347281) by Dona M. Wong
- [Visualization Analysis and Design](https://www.amazon.com/Visualization-Analysis-Design-AK-Peters/dp/1466508914) by Tamara Munzner.
- [R in Action, Third Edition](https://www.manning.com/books/r-in-action-third-edition) by Robert I. Kabacoff. A complete learning resource for R and tidyverse.
- [Everyday Data Visualization](https://www.manning.com/books/everyday-data-visualization) by Desireé Abbott. A field guide for design techniques that will improve the charts, reports, and data dashboards you build every day.
- [Interactive Data Visualization for the Web](https://chimera.labs.oreilly.com/books/1230000000345) by Scott Murray. Available to read online. Focused on D3.
- [Data Visualisation: A Handbook for Data Driven Design](https://www.amazon.com/Data-Visualisation-Handbook-Driven-Design/dp/1526468921/) by Andy Kirk

## Catalogs

- [The Data Visualization Catalogue](https://www.datavizcatalogue.com) – A collection of data visualization methods, with pros and cons.
- [Data Viz Project](https://datavizproject.com)
- [The R Graph Gallery](https://www.r-graph-gallery.com)
- [From data to Viz](https://www.data-to-viz.com)
- [Chartopedia](https://www.anychart.com/chartopedia)
- [Interactive Chart Chooser](https://depictdatastudio.com/charts/) by Depict Data Studio
- [Data visualization techniques](https://en.wikipedia.org/wiki/Data_visualization#Techniques)
- [List of graphical methods](https://en.wikipedia.org/wiki/List_of_graphical_methods)
- [Types of diagrams](https://en.wikipedia.org/wiki/Diagram#Gallery_of_diagram_types)
- [Types of plots](https://en.wikipedia.org/wiki/Plot_(graphics)#Types_of_plots)
- [Types of charts](https://en.wikipedia.org/wiki/Chart#Types)

## Podcasts

- [Data Stories](https://datastori.es/)
- [DataFramed](https://www.datacamp.com/community/podcast)
- [Data Viz Today](https://dataviztoday.com/)

## Twitter accounts

- [Alberto Cairo](https://twitter.com/albertocairo)
- [Andrei Kashcha](https://twitter.com/anvaka)
- [Benjamin Wiederkehr](https://twitter.com/datavis)
- [Jan Žák](https://twitter.com/zakjan)
- [Mara Averick](https://twitter.com/dataandme)
- [Martin Wattenberg](https://twitter.com/wattenberg)
- [Mike Bostock](https://twitter.com/mbostock)
- [Nadieh Bremer](https://twitter.com/NadiehBremer)
- [NYT Graphics](https://twitter.com/nytgraphics)
- [Visualizing](https://twitter.com/VisualizingOrg)

## Websites

- [Ann K. Emery](https://annkemery.com/) 's blog
- [Data Visualization Society](https://www.datavisualizationsociety.com/) – The Data Visualization Society is an organization dedicated to fostering community for data visualization professionals.
- [eagereyes](https://eagereyes.org/)
- [EvergreenData](https://stephanieevergreen.com/)
- [Global Data Tracker](https://globaldatatracker.com/) – Interactive country-statistics explorer with historical charts and globe views.
- [FlowingData](https://flowingdata.com/)
- [Information is Beautiful](https://www.informationisbeautiful.net/)
- [Junk Charts](https://junkcharts.typepad.com/) – Kaiser Fung takes apart why certain datavizes work/don't work
- [Lisa Rost thinks and discusses about why we dataviz](https://lisacharlotterost.github.io/)
- [Makeover Monday](https://www.makeovermonday.co.uk/) blog - #MakeoverMonday on twitter
- [Plottie](https://plottie.art) – Open-access library of scientific plots for inspiration and AI visualization tool.
- [The Open News](https://source.opennews.org/articles/) blog - Open news has some good dataviz related articles from time to time
- [The Planet Thinks](https://theplanetthinks.com/) – Real-time visualization of Wikipedia edits on a 3D globe
- [The Pudding](https://pudding.cool/)
- [Truth & Beauty Operations](https://truth-and-beauty.net/)
- [University of Washington Interactive Data Lab Papers](https://idl.cs.washington.edu/papers)
- [vis4.net](https://www.vis4.net/blog/) – Random thoughts on visualization and data journalism by Gregor Aisch
- [VivaMap](https://vivamap.ch) – Interactive quality-of-life map of Swiss and Dutch municipalities, scored on an H3 hexagon grid.
- [Marble Taxonomy Explorer](https://ashutoshsinghpr7.github.io/marble-taxonomy-explorer/) – Interactive knowledge graph visualization of 1,590 learning topics using Cytoscape.js with force-directed, concentric, and BFS layouts. Source