This visualization is about different call type percentages between 2018-2019. Medical incident calls are the most common call type. But, since medical incidents occupies 70.3% of the data presented, it's hard to visualize the smaller call types. In this case, I implemented interactivity where you can remove any kind of call type by clicking on the legend. For example, if you click medical incident in the legend, the pie chart will display the distribution of the data with medical incidents removed. Additionally, information about slices will show on pie chart when mouse hovers over, such as the percentage and count. This percentage is recalculated if the pie chart is modified using the legend.
The primary goal of this visualization was to show which call types have the largest frequency between 2018-2019 and the distribution of the call types.
Data set:
Data SF
Code References:
I'm very grateful to Arpit Narechania and his work: here. Also, I got many suggestions from Team ColorIn, Dukes of Data, Magic Mirror and my teammates Divya and Tracy.