Learning data visualization
Tags: dataviz, beginners
Published: 2019-01-19 21:35:45

---
title: Learning data visualization
published: true
description: List of resources to learn data visualization
tags: [dataviz, beginners]
cover_image: https://thepracticaldev.s3.amazonaws.com/i/yhu0l0jl8rexvepyqhx9.jpg
series: Learning data visualization
---

I started to learn data visualization. I will post my findings along the way. Let's start with resources for learning. This is not an exhaustive list, I chose items based on my intuition I didn't have time to read them (I just started).

## Books

### The Grammar of Graphics (Statistics and Computing)

I like the idea of "grammar", I hope they analyzed what are building blocks of visualization. My secret dream is to create a declarative language for visualization because stitching D3 visualization manually is so tedious.

### 4 books by Edward Tufte

He is an alive legend of visualization. I want to read [all 4 his books](https://www.edwardtufte.com/tufte/books_vdqi).

There is [his lecture](https://youtu.be/rHUDJ8RyseQ?t=158), so you can get a better picture of what he is talking about in his books.

### Other

Those are books I chose for myself. It doesn't mean they are the best way to start this subject. A bigger list of the books is [here](http://visualizationuniverse.com/books/).

## Cheatsheets

- 🔥[FT visual vocabulary](https://github.com/ft-interactive/chart-doctor/blob/master/visual-vocabulary/Visual-vocabulary.pdf)
- 🔥[datavizproject](https://datavizproject.com/)
- [dataviz.tools](https://dataviz.tools/)
- [Directory of visualizations](https://serialmentor.com/dataviz/directory-of-visualizations.html)
- [flowingdata tutorials](https://flowingdata.com/category/tutorials/)
- [flowingdata guides](https://flowingdata.com/category/guides/)
- [datavizcatalogue](https://datavizcatalogue.com/search.html)
- [depictdatastudio](https://depictdatastudio.com/charts/)
- [visualizationuniverse](http://visualizationuniverse.com/charts/)

## Academic papers

- 🔥[UW Interactive Data Lab](http://idl.cs.washington.edu/papers/)
- [eagereyes papers](https://eagereyes.org/section/papers)

## Online courses

- [Data Visualization for Storytelling and Discovery](https://journalismcourses.org/DE0618.html)
- [Calling bullshit](https://callingbullshit.org/syllabus.html)
- [Data Visualization at edX](https://www.edx.org/course?search_query=Data+Visualization)
- [Reading and interpreting data at Khan Academy](https://www.khanacademy.org/math/pre-algebra/pre-algebra-math-reasoning)

## Inspiration

- [Awesome dataviz](https://github.com/fasouto/awesome-dataviz)
- [Awesome D3](https://github.com/wbkd/awesome-d3)
- [D3 gallery](https://github.com/d3/d3/wiki/Gallery)
- [D3 discovery](https://d3-discovery.net/)
- [pudding](https://pudding.cool/)
- [visualcomplexity](http://www.visualcomplexity.com/vc/)
- [vis4](https://www.vis4.net/blog/)
- [lisacharlotterost](https://lisacharlotterost.github.io/)
- [@VisualizingOrg](https://twitter.com/VisualizingOrg)
- [eagereyes](https://eagereyes.org/section/techniques)
- [biovisualize](http://biovisualize.github.io/d3visualization/)
- [thefunctionalart](http://www.thefunctionalart.com/)

## PS

Do you have more recommendations for me? What else I should look into? 

_Photo by Celso Oliveira on Unsplash_