— In the News —
There are all kinds of interesting use cases for this. It even works indoors!
Airbnb strives to empower all of its employees to make data-informed decisions. Here's a good rundown by the Airbnb Data team about how that actually works in a rapidly growing organization.
How long until machines become smarter than us? This is an epic article from Rolling Stone.
— Sponsored Link —
Hotjar Allows you to See How Your Visitors are Really Using Your Site.
— Tools and Techniques —
This step-by-step guide shows how anyone with a Mac laptop and the ability to use the Terminal can create their own image classifier using TensorFlow.
Dora is a Python library designed to automate the painful parts of exploratory data analysis. It uses and is intended to be a helpful addition to common Python data analysis tools such as pandas, scikit-learn, and matplotlib.
Removing personally identifying information from a dataset while also maintaining its analytical value is non-trivial. This is a nice overview of some of the issues and how to approach them.
— Resources —
Inspired by Rdatasets, PyDataset provides easy access to 750+ datasets via Python. It takes a single line of code to access data, which is returned in pandas DataFrames.
Handy tool to retrieve data from the Associated Press Election API. Elex is designed to be friendly, fast, and agnostic to your language and database choices.
— Data Viz —
Awesome post that demonstrates a variety of ways to explore a dataset of 2 million chess games. Includes links to the data and a GitHub repo of code that was used to create the visualizations.
Vega-lite provides a high-level grammar for visual analysis that generates complete Vega specifications. This is a great overview that includes worthwhile links for further exploration.
Chris Parmer is the Chief Product Officer and co-founder of Plotly. In this interview on PolicyViz, Chris discusses Plotly’s tool, their business model, and the future of online data visualization tools.
— Inspiration —
The New York Times has recreated their classic weather chart as an interactive web application for 3000 cities around the world. This is great work.