Computing for data analysis

Posted to Statistics  |  Tags: ,  |  Nathan Yau

If you want to learn visualization, you should learn data. To learn data, you should learn statistics. Where to begin? The free analysis courses offered on Coursera, by Johns Hopkins professors is probably a good place to start. Currently available: Computing for Data Analysis with biostatistics professor Roger D. Peng and Data Analysis with Jeff Leek, also a biostatistics professor.

There’s also a handful of data-related courses from other university professors that might be worth a look.

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10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.

A Day in the Life of Americans

I wanted to see how daily patterns emerge at the individual level and how a person’s entire day plays out. So I simulated 1,000 of them.

Life expectancy changes

The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.

Causes of Death

There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.