Here is dataset, i have:
| Source | All Leads | Not Junks | Warms | Hots | Deals | Weighted Sum |
|---|---|---|---|---|---|---|
| web | 281316 | 269490 | 10252 | 2508 | 1602 | 4376.5 |
| telesales | 30458 | 29732 | 431 | 138 | 85 | 316.2 |
| networking | 4249 | 4195 | 763 | 547 | 476 | 539.1 |
| promos | 1356 | 1308 | 30 | 1 | 0 | 10.8 |
I visualized it:
df.plot.bar()
And got this output:
Some columns got too small values, so that they are not visible, how can tackle this problem?
Setting bigger figure size isn’t useful, it makes chart bigger, but columns ratio is still the same, so nothing changes
Any ideas how to make it look more sophisticated? Or maybe i should try different type of chart? Thank you!
>Solution :
Could try df.plot.bar(logy=true), but it’s going to make useful interpretation of it messy. A Sankey diagram would probably be a better fit for showing how the data breaks down in each category.