I have some terminal charging values for US and CHINA comes in a pandas DataFrame like the following,
value country
0 550.0 USA
1 820.0 CHINA
2 835.0 CHINA
3 600.0 USA
4 775.0 CHINA
5 785.0 USA
6 790.0 USA
This is the sample data and I have in total 5K+ entries. The data is cleared for the outliers and needs to be visualized. What kind of visualization can I use to plot my data meaningfully?
The list of values per country should be visualised in a meaningful way, identifying the amount of good/bad charges present in the system.
I have cleared theoutliers
earlier and this data is good. I thought thecomparable visualization per country
would be great while I can manually calculate the percentage of the outliers per country and store using some method. $\endgroup$ – CA Arefe Mar 8 '17 at 19:04