Frequency Chart Maker

Show how observations are distributed

A frequency chart records how often values occur. Category counts help compare named groups, while numeric intervals help reveal where observations cluster across a range.

Use it when the distribution matters

Exam results, delivery times, and survey responses can look very different even when averages are similar. The support example groups 500 tickets into response-time ranges of unequal widths, so read the bars as counts per labeled range rather than a continuous density histogram.

Define the counting rules first

1. Identify the observation. Say whether a count represents tickets, people, readings, or another unit.
2. Avoid overlapping intervals. Define where a value on a boundary belongs.
3. Keep numeric widths meaningful. Equal-width bins simplify comparison; unequal-width histograms require density scaling.
4. Reconcile the total. Include missing or excluded observations in a separate accounting.
5. Label frequency type. Counts, proportions, and cumulative frequencies answer different questions.

Turn counts into a readable distribution

MyMap drafts a chart from the data and grouping instructions you provide. Ask to change the bins or labels, then verify that the chart still represents the same observations.