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.
January 2019 SWDchallenge is all about going beyond our comfort zones – to make a visualization using a new tool. I make most of my visualizations using R, Excel or… Read More
Original What works well? The map gives a good view of the state of global press freedom in 2017. The colors instantly show that most of Africa, South America, Eurasia… Read More