When comparing data sets what should you discuss?

Usually we use median or mean AND range to compare the two sets of data , for example when comparing two box plots.

Speaking of comparing the datasets,

In the first hand, you should explore the data of the statistics, whether it is numerical or categorical continuing the missing values should be replaced with the alternatives/null values. compare the quantity and the quality of the data. trends that can change the data up and rise or degrade the data.

When comparing data sets, discuss:

1. Basic statistics (mean, median, etc.).
2. Distribution shapes.
3. Outliers' impact.
4. Central tendency differences.
5. Variability and measures.
6. Visualizations (histograms, etc.).
7. Statistical tests (if applicable).
8. Real-world implications.
9. Acknowledge limitations.
10. Conclude findings succinctly.

Discuss the median to represent the average of the 2 data sets. This does not take into account any outliers. Secondly, calculate and discuss the interquartile range; the smaller the interquartile range, the consistent the data values.