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This is very lightly mentioned in the series-bar documentation, but should definitely be more prominent.

Some fields like grade of the student are numeric. What I see with bar charts is that they work great with category axis type and the data being string. If it is value type and/or numeric data then there are challenges. Any reason for limiting the full bar chart capabilities for value type and numeric data?

+1 for needing stacking on a value axis.

Biggest problem for me with this is missing values - there may be parts of your x-axis where none of your series have any observations. It's a pain to have to iterate through the dataset and prepare it so that it shows missing data.

For example:

series1 = [
   [3, 10],
   [4, 13],
   [5, 16],
   [8, 21]
]

series2 = [
   [3, 15],
   [4, 17],
   [5, 21],
   [8, 23]
]

Using a category axis with this data won't show 6 or 7 on the axis. Using value would work if stacking was possible.

The current workaround for this would be to iterate through each of these series, see which x values are missing, and recreate the data so that 6 and 7 are included as rows in each dataset.

One approach that might work is to treat this situation in the same way as a histogram:

• Assume a default interval based on the data provided to the chart (e.g., if it's years or integers, interval = 1. If it's a continuous variable, have some default logic to assume an interval)
• Bin the data using the interval
• Plot the data, effectively treating the x-axis as a category axis
• You could probably even explicitly treat the axis as category - at least for me, I don't care if the axis is value or category. I would just prefer not to have to write the code to check/fill values for each chart I build