Axes configuration
Depending on the nature of the variable used for a given axis and the type of chart you are working with, some options will come up to help you shape the data and resulting visualization.
Temporal Axis

Numeric X axis

Numeric Y axis

Categorical Axis
If the axis is categorical, we have two options to customize: We can limit the number of categories and choose only the “top” or “bottom” values for that category. This helps in reducing potential noise for categories that don’t have much relevance in your visualization.

Number of rows
The option “number of rows” appears when you can have a sum up of a numeric value, like an average, sum or median. With the number of rows, some options arise that are particularly interesting when searching for patterns. This can all be expressed as relative comparisons between categorical values. The most common, and default one, is the count, where we literally express the number of rows. But other operations can be made.
Relative Count (All)
This method changes the scale to percentage, where now, instead of showing how many rows fall into these categories, we show the percentage of rows. In this example, we can see the proportion of gender in each age bracket. The left-most blue bar indicates that there are ~89.6 transactions made by 18 – 24 years old women, which corresponds to 5.56% of the whole dataset.These charts are interactive, use your mouse to explore!