Makeover Monday: Philadelphia Real Estate Transfers
We sometimes come across a dataset that stumps us. The Philadelphia Real Estate Transfers was one such dataset for me. Inspired by Eva Murray’s work, I decided to use a cycle plot here.
Makeovers
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#SWDChallenge: visualize THIS data!
This month’s #SWDChallenge was to visualize a specific dataset and create visualization(s) to answer specific questions. This is different from an open-ended data analysis where we go on looking for interesting stories in the data. Most often in our jobs, we use data visualization to communicate answers to predefined questions – for example, who are…
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Makeover Monday: Operation Fistula
My aim with this makeover was to create a chart that shows the relation between Obstetrics Fistula (OF) and lifetime maternal deaths in various countries.
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Makeover Monday: Economic value of the bicycle industry
Sometimes we need more than one chart to communicate our message. This makeover is a good example of how one chart may be inadequate to convey the whole story.
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Makeover Monday: Which states produce the most wind energy?
My aim with this makeover was to declutter the chart and show 3 pieces of information – installed capacity, investment and number of homes powered by Wind Energy.
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Makeover Monday : President Trump’s “Executive Time”
The original shows 297 hours in executive time. I wanted to answer the question what percentage of each workday does Trump spend in executive time?
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#SWDChallenge : visualize variance
For this month’s SWDChallenge, Cole challenged us to visualize the variance in data. The mode, the median or the mean may not be a model that represents the entire dataset accurately. Hence it is important to visualize variance.
