
FREQUENCY Function: Create Histograms & Binned Distributions
A list of 500 numbers tells you almost nothing at a glance. Group them into bins and the shape of the distribution becomes immediately visible — where values cluster, where they thin out, and whether the data skews left or right. The FREQUENCY function performs that grouping in a single formula. This guide covers eight practical examples: building a basic frequency table, charting it as a histogram with gap width set to zero, converting counts to relative frequencies and cumulative percentages, generating dynamic bins with SEQUENCE that update as data changes, counting students per grade band, measuring manufacturing defect rates across tolerance zones, comparing two distributions side-by-side, and using the FREQUENCY distinct-count trick to find unique values. It also covers the key behaviour most analysts miss: FREQUENCY always returns one more value than the number of bin boundaries — that extra row is the overflow bucket, and forgetting it silently drops data.










