I have a dataframe that looks like this:
components non_breaking_count breaking_count
0 paths-modified 22956 8640
1 endpoints-modified 22155 8149
2 endpoints-added 8109 5354
3 paths-added 7375 4787
4 info-version 5680 857
5 components-schemas-added 2555 1597
6 info-description 1940 762
7 tags-added 1031 564
8 info-title 859 551
9 servers-added 711 332
10 info-termsOfService 701 161
11 servers-deleted 609 262
12 components-schemas-deleted 588 938
13 components-securitySchemes 301 112
14 tags-modified 297 128
15 components-securitySchemes 229 171
16 components-parameters-added 209 239
17 tags-deleted 199 541
18 components-responses-added 183 164
19 info-contact-name 153 96
20 security-added 140 121
21 info-contact-email 132 110
22 servers-modified 120 32
23 info-license-name 115 46
24 info-license-url 105 36
25 paths-deleted 97 4979
26 info-contact-url 93 51
27 components-securitySchemes-deleted 87 71
28 endpoints-deleted 84 5612
I have been looking for a good way to visualize this with their counts and annotation( for all the components column). What i am looking for is one graph for breaking and another for non breaking.
I had a sliced bar chart in mind, with two bars for breaking and non breaking, however fitting in 28 values is a bit difficult, so I had to discard that option. I tried with nightingale chart in echarts as well, but the proportions are a mismatch somehow. Another way would be a treemap, but that and pie chart is something I wish to avoid.
Does anyone have any suggestions on which type of graph I could use to effectively visualize this data.
from Visualization of descending count
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