Often it is easy to get carried away with a tools features. Excel is no exception. But here is a list of grotesque charts that you should never make, not even on your last day at work.
1. Leave the radar charts for Spidermen
why?
- You can hardly conclude anything by looking at them
- They need lot of tweaking to make sense
- Visually revolting, even with perfect data points
2. Dont show, just eat your donuts
why?
- This is the evil twin of Pie
- Too many data points and it looks psychedelic
- Very difficult to compare between series
3. Don’t add dimensions to your lines
why?
- It is difficult to compare between series
- Can lead to wrong conclusions
- Often one series overlaps another to cause ambiguity
4. If one Pie is bad, two of them is worst
why?
- They provide very little information
- It is useless to use two pies, when you can tell the story with just one
5. Dont make your charts look like downtown
why?
- Lost information because of overlapping columns
- Difficult to see patterns
- Needs a lot of tweaking to make even the remotest sense
6. Save the unstacked area charts till we have x-ray vision
why?
- It is impossible to understand an unstacked chart in 2d, 3D makes it only worse
- They need lot of tweaking to make some sense
- Visually revolting, even with perfect data points
When in doubt, use a bar
More on charts: 73 beautiful excel chart templates – download free
One Response to “Easily Convert JSON to Excel – Step by Step Tutorial”
Great guide! You mentioned that "Power Query in Excel offers a quick, easy and straightforward way to convert JSON to Excel." This is very true for simple structures. For those dealing with deeply nested JSON that Power Query struggles with, I've found a few tips helpful: 1) Flatten the JSON structure before importing if possible, 2) Use Python for more complex transformations as you suggested.