Tag Archives for " Data Visualization "

3 Mighty Good Reasons to Learn R for Data Science

Ahoy, mateys! Happy International Talk Like A Pirate Day! You may think a pirate’s life sounds like fun, but it isn’t all buried treasure and singing yo-ho-ho. Pirates have lots to do: Predicting profitability of plundering events based on crew size and ship features Optimizing trade routes to avoid the law, storms, and other pirates […]

Generating Climate Temperature Spirals in Python

Ed Hawkins, a climate scientist, tweeted the following animated visualization in 2017 and captivated the world: This visualization shows the deviations from the average temperature between 1850 and 1900. It was reshared millions of times over Twitter and Facebook and a version of it was even shown at the opening ceremony for the Rio Olympics. […]

This Artist Turns the Forest Floor into Data Visualizations

Editor’s note: This post was written as part of a collaboration with iDataLabs, a marketing intelligence company. Author Julia Cook works in marketing at iDataLabs. We’re all familiar with data visualizations — word clouds, pie charts, pivot tables — but how does one put enquiries in paint? Patty Haller, a landscape artist from Seattle WA, may have figured that […]

Using Box Plots to Explore Women’s Height Data

I’ve recently been working on the Digital Panopticon, a digital history project that has brought together (and created) massive amounts of data about British prisoners and convicts in the long 19th century, including several datasets which include heights for women. Adult height is strongly influenced by environmental factors in childhood, one of the most important […]

Learning From Bank Data: Women Across the World

This post looks at the World Bank World Development Indicators (WDI). This massive collection has data in several categories: demographic, education, work, poverty, health. It includes both country-level data and various aggregates by different criteria: geographical regions, income levels, etc. The UK Data Service has a useful guide as well as access to the data. […]

Visualizing Women’s Marches: Part 2

This post is the second in a series on visualizing the Women’s Marches from January 2017. In the first post, we explored the intensive data collection and data cleaning process necessary to produce clean pandas dataframes. Data Enrichment Because we eventually want to be able to build maps visualizing the marches, we need latitude and […]

Visualizing Women’s Marches: Part 1

In celebration of Women’s History Month, I wanted to better understand the scale of the Women’s Marches that occurred in January 2017. Shortly after the marches, Vox published a map visualizing the estimated turnout across the entire country. This map is excellent at displaying: locations with the highest relative turnouts hubs and clusters of where […]

How to Generate FiveThirtyEight Graphs in Python

If you read data science articles, you may have already stumbled upon FiveThirtyEight’s content. Naturally, you were impressed by their awesome visualizations. You wanted to make your own awesome visualizations and so asked Quora and Reddit how to do it. You received some answers, but they were rather vague. You still can’t get the graphs […]