The statistics plots desk
toolbox.
Fit a regression, check normality, see which columns move together and read the descriptive numbers next to the picture.
Keep this toolbox for offline use
13 useful places to start.
Plots are drawn from the data you paste and the exact values are always listed beside them. Tests assume independent observations.
Multiple linear regression calculator
Fit a linear regression with one or more predictors from a pasted table: coefficients, standard errors, p-values, R², the F test and a fit plot.
Simple linear regression
Fit a straight line to paired numeric observations.
Normal Q-Q plot and normality tests
Draw a normal Q-Q plot of your numbers and check them with the Jarque-Bera, D’Agostino-Pearson and Anderson-Darling tests.
Correlation matrix with heatmap
Compute a Pearson, Spearman or Kendall correlation matrix from CSV columns, with p-values and a colour heatmap.
Descriptive statistics
Mean, median, mode, spread and standard deviation for your numbers.
Histogram frequency table
Bin a numeric list into equal-width intervals with cumulative counts.
Box plot builder
Compare grouped distributions, medians, spread and outliers from your own CSV.
CSV chart builder
Turn a local CSV into a bar, line or scatter chart with editable columns and SVG export.
CSV heatmap builder
Explore a numeric matrix as a labelled heatmap, with readable values and SVG export.
One-way ANOVA calculator
Compare the means of two or more groups with an F test and an ANOVA table.
Welch two-sample t test
Compare independent sample means without assuming equal variances.
Pearson correlation test
Test and measure the straight-line relationship between two variables, with a confidence interval and regression line.
Spearman rank correlation
Measure the association between two paired lists using ranks.
A few things you
can tick off.
- Fit a regression with several predictors
- Check whether data look normal
- Colour a correlation matrix