Survey analysis is a valuable tool to gauge the public’s interest in some of the most important topics facing the world. This is evident in the coverage of political elections and voting trends, or even the familiar “we asked 100 people…” surveys behind the game show Family Feud. Rich survey data yields a bevy of useful results to guide prospective responses to changing attitudes, thoughts, and feelings.
In the case of the COVID-19, you can utilize the results from the expansive COVID Impact Survey, conducted by NORC at the University of Chicago for the Data Foundation, to understand global impacts…
We recently announced an incredible resource— a deep Knowledge Base that serves as an instructive and learning guide for Keshif users, and anyone interested in making data explorable easily. For our knowledge base, we had the challenge to choose two datasets to demonstrate a wide range of features and their powerful utility.
Among hundreds of datasets we explored with Keshif, we recognize that data types, relations, and hidden insights are unique to each; so are the best approaches for their analysis. Here, we share hints on what makes two sample datasets excellent examples of what happens when you combine rich…
It’s the most wonderful time of the year — and it’s time to decide on the perfect gift for that special data viz practitioner in your life. Whether you’re reading this article for them, or for yourself, you’ve stumbled upon the Christmas yule log of gift lists. Sweet, with a bit of spice, all rolled into a clean final product— just like a good data visualization.
From how-to guides, to best practices, to pure artistic design, books are a first-rate gift for anyone interested in data viz.
Thanksgiving just passed, but I’m already excited to make some changes in my daily routine — and you should consider it too. Setting goals now will give us a big milestone on January 1st, when everyone else sets their own. That way, we can be held to the higher standard of our “pre-New Year’s” resolutions.
At least, that’s the plan.
After beginning his career studying archaeology and geography, Tim Wallace specialized in maritime archaeology before pursuing a PhD at the University of Wisconsin-Madison. He spent over six years working as a geographer and graphics editor for The New York Times, before leaving to work as a visual journalist and geographer for Descartes Labs.
I had the pleasure of picking Tim’s brain and pressing him on his artistic process, the weight of responsibility, and the dreaded question of whether he prefers print or digital.
CH: What’s your process for starting a project? Simulated data, sketches, what do you focus on?
Dad and statistician. Writes about data, science, and data science.