Are you a fan of Edward Tufte‘s work? I’m a huge fan of his work. I’ve pretty much bought all of his books, and I consider them required reading for anyone who makes reports and visualizations.
O’Reilly has made available a trove of free e-books. Topics span multiple disciplines, from Data, Design, Business and Leadership, Security, Programming, and much more.
This is great for anyone looking to expand their knowledge around a discipline. With respect to Data, there’s a nice selection of titles.
Need to integrate a web-based map into your reports? Need said map to have some interactivity?
Don’t let the title, this post is totally SFW (safe-for-work). I’m a total sucker for well-researched, well-written applications of data analysis, and a couple of really good ones hit my browser today.
In today’s day and age, restaurants live and die off their Yelp reviews. At Towards Data Science, Michail Alifierakis did an incredibly detailed analysis of Yelp Data. He basically took Yelp’s anonymized data, de-anonymized it, and built a model that can predict restaurant closures within a four year time frame. It’s well written, clear and informative. Alifierakis also includes a Github link to the code for his analysis work. Definitely a must-read for analysis nerds.
Here’s a quick hit for you Python users out there. Check out plait.py, a program that lets you generate fake data using a composable yaml template.
Instead of setting your fake data parameters in code, you simply put your faking rules in a human readable yaml file.