Fig 1.
The wide versus tidy data format.
In the wide (spreadsheet-like) data format each column represents a condition. In the tidy format each column is a single variable and each row is an observation.
Fig 2.
An overview of data visualizations generated using PlotsOfData.
The sample data that are available in PlotsOfData are presented together with statistics in different ways. Upper row, a data-centered presentation, with prominent display of the data as dot plots and the statistics displayed with a visibility of 0.3. Lower row, a statistics-centered presentation that shows the data at lower visibility (0.3) and prominently shows the statistics and the 95CIs. Horizontal lines (or a circle in the lower left panel) display the median value, and vertical bars show the 95CI. For box plots the 95CI is indicated by notches. 95CI, 95% confidence interval.
Fig 3.
The statistical summary of the data can be downloaded in several different formats.
Here, the outputs for the data related to Fig 2 when downloaded as PDF are shown. IQR, interquartile range; MAD, median absolute deviation; 95CI, 95% confidence interval.
Fig 4.
The layout of the graph generated by PlotsOfData can be further refined.
The standard output of PlotsOfData (left panel) can be tuned to enhance the presentation. The graph on the right is generated by changing the visibility of the statistics, sorting of the conditions according to median value, rotating the plot, removing the grid, adjusting the scale, adding colors for the data, and adding a figure description.