Data Visualizer

Turn a data set into a histogram, box plot, bar chart, line chart or scatter plot, with a fitted normal curve and shape analysis.

Your result will appear here

Fill in the fields and press Draw chart, or pick one of the examples.

About the Data Visualizer

Turns numbers into charts. For one variable choose a histogram (optionally with a fitted normal curve), a box plot, a bar chart of the values or a line chart. For two variables choose a scatter plot, which also draws the least-squares line.

A shape analysis accompanies the histogram: skewness, excess kurtosis and a plain-language reading of what they say about the distribution. Charts can be zoomed, panned and saved as PNG from the chart toolbar.

Limitations

The normal curve is the normal distribution with the data’s mean and sample standard deviation; it is a visual comparison, not a formal normality test.

How to use it

Choose the chart type.
Enter the data (and the Y values for a scatter plot).
Press Draw chart.

Example

Histogram of 12, 15, 11, 18, 22, 14, 16, 19, 13, 17

→ A 5-bin histogram with mean 15.7

Formulas used

g_1 = \frac{m_3}{m_2^{3/2}},\qquad g_2 = \frac{m_4}{m_2^{2}} - 3

Skewness and excess kurtosis from the central moments $m_k$ .

k = \lceil \log_2 n \rceil + 1

Sturges’ rule for the default number of histogram bins.

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About the Data Visualizer

Limitations

How to use it

Formulas used

Related tools

About the Data Visualizer

Limitations

How to use it

Formulas used