For this week, I created a quick makeover using Datawrapper. My aim was to allow easy comparison between the 10 waste sources. I chose to use the trusted old bar chart.
The challenge with stacked bar charts is that if there is something interesting happening further up the stack, it becomes difficult to see because it is stacked on top of other things that are also changing. In this chart, with 7 different colours, it is hard to understand what's going on.
Original Analysis of the original Here are a series of questions I use to analyse a chart. Where are my eyes drawn?: My eyes are drawn to the blue arc for G7 average.What works in this visual?: The circular bars are sorted. Good use of colors to represent countries and average.Identify clutter, make note of…
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.
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…
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.
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.