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.
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?
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.
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.
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?
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.
For this makeover, I wanted to practice annotations on charts. Annotations help our readers better understand the context and our argument with the graph. They can also help us highlight specific points and show readers what to focus on.