This post is for attendees of the Fundamentals of Data Visualization Workshop at General Assembly Boston. Exercise 1: Mapping Tutorial Instructions: Mapping If you have not done so, download and install TileMill. If you are running MacOS, you may need to use the instructions in the Mapping tutorial to get it running. Exercise 2: Scatterplot Tutorial Instructions: Scatterplot If you haven’t already, open a free Github account. Exercise 3: Cooking the Books Download the dataset: milk-tea-coffee.csv Use Quartz Chartbuilder to visualize the data.  

Scatterplot of cereal protein content and calories

This tutorial uses the Breakfast Cereal example data from Interactive Data Visualization and D3 example blocks by Mike Bostock and Michele Weigle. This tutorial is part of a course I teach — Fundamentals of Data Visualization — at General Assembly Boston. D3.js is the hottest web data visualization framework right now. But it can be difficult to work with unless you have a firm grounding in Javascript and can host your files on a webserver. This tutorial takes you through the process step-by-step without requiring you to know a lot of Javascript, and with a workaround that will let you quickly view your D3 visualizations without having to upload files to a webserver. D3 uses Javascript to visualize datasets you[…]