Histogram Maker — Continuous Frequency Distribution & Bin Plotter
A histogram partitions continuous numerical observations into contiguous intervals (bins) and plots adjacent zero-gap columns whose heights represent observation frequency or density per interval.
Tip: Paste Excel or Google Sheets rows (Ctrl+V / ⌘V) directly into any cell.
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Relative frequency: f_i = n_i / N, where N = sum(n_i). Cumulative density: F_k = sum_{i=1..k}(f_i). Weighted bin mean: mu = sum(m_i * n_i) / N.
Chart Design & Use-Case Tips
- 01Relative frequency: f_i = n_i / N, where N = sum(n_i). Cumulative density: F_k = sum_{i=1..k}(f_i). Weighted bin mean: mu = sum(m_i * n_i) / N.
- 02Unlike bar charts, histogram bins touch with minimal or zero separation to signify a continuous underlying numerical scale.
- 03Keep bin widths equal across the entire horizontal axis so column height directly represents frequency density.
- 04Compare the Mean and Median in the summary statistics strip: if Mean > Median, the distribution is right-skewed.
Frequently Asked Questions
How does a histogram differ from a standard bar chart?+
A histogram displays the frequency distribution of a single continuous numeric variable divided into contiguous bins, whereas a bar chart compares separate categorical groups.
How many bins should a histogram have?+
By Sturges' rule (k = 1 + log2(N)) or the square-root rule (k = sqrt(N)), 6 to 10 contiguous bins typically reveal distribution shape without excess noise.
How can I spot a bimodal distribution?+
A bimodal distribution exhibits two distinct local peaks separated by a trough, often indicating two mixed sub-populations in your dataset.