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Histogram Maker: Create Histograms Online From CSV Data

Need to inspect the shape of a numeric distribution? Paste a CSV, choose one numeric column, adjust the bin count, and switch between raw counts and percentages without leaving the page.

  • Best for checking spread, skew, concentration, and rough outlier behavior
  • Works with tidy CSV or TSV data and focuses on one numeric variable at a time
  • Exports the finished chart as PNG or SVG after you tune the bins
22 rows1 columns, delimiter

Use one numeric column when you want to inspect the shape of a distribution.

response_time
118
126
131
135
139
144

First 6 of 22 rows.

What a histogram is and when to use one

A histogram groups numeric values into bins so you can see how often values fall into each range.

Use a histogram when the question is about distribution:

  • is the data tightly clustered or widely spread
  • is the distribution roughly symmetric or skewed
  • are there multiple peaks or unusual gaps
  • where do most values concentrate

If you need exact category comparisons, use a Bar Chart Maker. If you need relationships between two numeric variables, use a Scatter Plot Maker.

Which histogram settings matter most?

SettingWhat it changesWhen to use it
Bin countHow finely the range is splitlower for broad shape, higher for detail
CountShows raw frequencybest for sample size context
PercentShows share of total rowsbest for comparing datasets conceptually
Mean lineAdds a central referenceuseful for quick orientation

Start with around 10 bins, then adjust up or down. Too many bins can make random noise look meaningful. Too few bins can hide real structure.

Format your data for this histogram maker

The cleanest input is a table with one numeric column you want to analyze.

Example:

response_time
118
126
131
135

You can also paste a wider table and choose any numeric column in the settings panel. For related workflows, see Box Plot Maker, Scatter Plot Maker, Bar Chart Maker, and CSV to Chart.

Common histogram mistakes

  • Do not use text data as the measured field. Histograms need numbers.
  • Do not confuse a histogram with a bar chart. Histogram bins represent ranges, not named categories.
  • Do not over-interpret the shape until you test different bin counts.
  • Do not compare two datasets in one histogram unless the overlap remains readable.

If you need quartiles and outlier summaries instead of bin-based shape, a Box Plot Maker is often a better fit.

FAQ

What is the best data format for a histogram maker?

The best format is CSV or TSV with at least one numeric column. Each row should represent one observed value.

How many bins should I use in a histogram?

Start with about 10 bins, then adjust based on how much detail you need. Fewer bins show the big picture. More bins reveal local variation.

What is the difference between count and percent in a histogram?

Count shows the number of rows in each bin. Percent shows the share of total rows in each bin, which can be easier to compare conceptually.

Should I use a histogram or a bar chart?

Use a histogram for numeric distributions across ranges. Use a bar chart for comparing named categories or groups.

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