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?
Resources
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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.
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Makeover Monday: How Chinese New Year compares with Thanksgiving
For this makeover, I wanted to bring in some context with population. Comparing China and US is not fair game. China’s population is at least 4 times that of US.
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What are dot plots in data visualization?
Dot plots use dots to represent the position of value on the axis. They are useful for comparisons and are a good replacement for bars or clustered bars.
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Makeover Monday: Digital Economy and Society Index (DESI)
For this makeover, I used a dot plot to tell 2 stories. Which countries improved the most?Which countries have the highest and lowest DESI scores?
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What are heatmaps and what is a good way to use one?
Heatmaps visualize data through variations in coloring. Heatmaps are self-explanatory and are a great way to show to a general view of data. Heatmap Framework Heatmaps consist of multivariate data plotted in rows and columns in a matrix-like fashion. Cell AE, for instance, is based on the relationship between cells A and E. When to…
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MakeoverMonday : Energy Use at 10 Downing St in 2017
For this week’s makeover, I wanted to use Tableau. Sketching a few ideas for the visualization, I was drawn towards a heat map. I started with a heat map of days vs. hour of the day. Exploring the data further, I found the monthly variation to be interesting.
