Heads up: A thread explaining the basics of analytics coming this Sunday.

I will give examples of charts you would typically use for simple data analysis (with types).
1/

If you ever wanted to learn (in a simple way), why one chart is used over the other in data analytics, this multi-series thread is for you.

Let& #39;s begin:
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If you simply want to show the & #39;change of a value over time& #39;, use:

- A simple numeric display to show the latest value
- Show change % vs. previous period

If you want the same to be more explicit:
- Simple columns to plot previous and current
- Optionally, put change %
3/

If you want to show the & #39;trend& #39; of value over time, use:

- Line (if just the trend is important to display)
- Column (if individual values are also important to navigate)

(There are more reasons to choose between line and column to plot time-series; more on that later)
4/

If you want to show the breakdown of a value:
(We call it & #39;to segment& #39; in some context)

- Use a table layout for a simple breakdown
- Use a bar chart if you want to compare the objects in the breakdown as well
5/

When there are many objects, it& #39;s easier to & #39;highlight& #39; one object of interest to show how it compares against others. We often call it & #39;benchmarking& #39;.

Simply highlight the object with a different color/ formating.

In this e.g., & #39;where does Texas stand against other states& #39;
6/

If you want to see the contribution of individual objects to the total value, use a stacked bar or simple bar.
This is the same as the & #39;contribution of parts of the whole& #39;.

You may add contribution % as well.
7/

For & #39;6& #39;, we don& #39;t prefer the & #39;pie& #39; chart since it performed poorly in our UTs (more on that later).

We use about 25-30 analysis types to determine which chart type is & #39;most relevant& #39; for a user.

Next week, I will post part 2 of this series.

Stay safe, happy weekend.
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