I have a data frame
Rfm Count %
0 111 88824 57.13
1 112 5462 3.51
2 121 32209 20.72
3 122 15155 9.75
4 211 5002 3.22
5 212 1002 0.64
6 221 3054 1.96
7 222 4778 3.07
How can I plot a graph like this?
Background - The numbers are the RFM scores. R is Repeat (number of days since customer ordered) F is frequency (number of jobs from customers) M is monetary (how much customer is paying)
The R,F and M scores are either 1 (bad) or 2 (good).
I would like to segment them into 4 Quadrants.
I would also like the size of the blob to be proportional to the percentage.
I.e. blob 111 (57%) will be much larger than blob 212 (0.64%).
I really want to get better at data visualization, please help a beginner out. I'm familiar with seaborn and matplotlib.
Ps: Is it possible to add a third dimension to the plot? 3rd Dim would be the frequency.
Edit: The second image is a simple static way of achieveing my goal. Any input for doing it with matplotlib or seaborn? For a more interesting illustration.
[Second Image]
