Table 1. The five command-line applications in the Data Exploration Toolkit .

cluster.unit_cell	Uses hierarchical clustering to visualize and cluster the unit cells output from the integration step.
cluster.visualize_orientations	Visualizes the orientational distribution of the real-space crystal axes, revealing any bias that may be present. Laboratory-frame orientations of the a, b and c axes are projected onto a globe, with a color map added to make the distribution more clear.
cluster.intensity_statistics	Aggregates data of partial intensities over all images. Generates a scatter plot of slope and intercept for all images, and histograms of gradient and standard errors on the fits. Also creates a super-plot of all of the partial log intensities versus sin2()/2.
cluster.individual_frame_intensity	Generates a plot of log(I partial) versus sin2()/2 for each image. Also plots a rolling average and a linear fit to the data: a ‘pseudo-Wilson’ plot.
cluster.42	Convenience utility to provide an aggregate of the unit cell, orientations and intensity histograms in a single frame with a single command.