Statistical Traces

Each box spans from quartile 1 (Q1) to quartile 3 (Q3).

The second quartile (Q2, i.e. the median) is marked by a line inside the box. The fences grow outward from the boxes’ edges, by default they span +/- 1.5 times the interquartile range (IQR: Q3-Q1), The sample mean and standard deviation as well as notches and the sample, outlier and suspected outliers points can be optionally added to the box plot. The values and positions corresponding to each boxes can be input using two signatures. The first signature expects users to supply the sample values in the y data array for vertical boxes (x for horizontal boxes). By supplying an x (y) array, one box per distinct x (y) value is drawn If no x (y) {array} is provided, a single box is drawn. In this case, the box is positioned with the trace name or with x0 (y0) if provided. The second signature expects users to supply the boxes corresponding Q1, median and Q3 statistics in the q1, median and q3 data arrays respectively. Other box features relying on statistics namely lowerfence, upperfence, notchspan can be set directly by the users. To have plotly compute them or to show sample points besides the boxes, users can set the y data array for vertical boxes (x for horizontal boxes) to a 2D array with the outer length corresponding to the number of boxes in the traces and the inner length corresponding the sample size.

The sample data from which statistics are computed is set in x for vertically spanning histograms and in y for horizontally spanning histograms.

Binning options are set xbins and ybins respectively if no aggregation data is provided.

The sample data from which statistics are computed is set in x and y (where x and y represent marginal distributions, binning is set in xbins and ybins in this case) or z (where z represent the 2D distribution and binning set, binning is set by x and y in this case).

The resulting distribution is visualized as a heatmap.

The sample data from which statistics are computed is set in x and y (where x and y represent marginal distributions, binning is set in xbins and ybins in this case) or z (where z represent the 2D distribution and binning set, binning is set by x and y in this case).

The resulting distribution is visualized as a contour plot.

In vertical (horizontal) violin plots, statistics are computed using y (x) values.

By supplying an x (y) array, one violin per distinct x (y) value is drawn If no x (y) {array} is provided, a single violin is drawn. That violin position is then positioned with with name or with x0 (y0) if provided.

Parallel categories diagram for multidimensional categorical data.

Splom traces generate scatter plot matrix visualizations.

Each splom dimensions items correspond to a generated axis. Values for each of those dimensions are set in dimensions[i].values. Splom traces support all scattergl marker style attributes. Specify layout.grid attributes and/or layout x-axis and y-axis attributes for more control over the axis positioning and style.

The data visualized as a point cloud set in x and y using the WebGl plotting engine.