See the Jupyter notebook for more details.
A set of four plots based on Edward R. Tufte's designs in The Visual Display of Quantitative Information:
- bar
- boxplot
- line
- scatter
All of these plots aim to maximize data-ink, the "non-erasable core of a graphic."
The "boxplot" (bplot), for example, removes boxes and caps and simply shows a dot between two lines. The dot represents the median and the lines correspond to the top and bottom 25% of the data. The empty space between the lines is the interquartile range.
The line and scatter plots make use of Tufte's range-frame concept, which aims to make the frame (axis) lines "effective data-communicating element[s]" by showing the minimum and maximum values in each axis. The default line style uses a circle marker with gaps between line segments.
This is built on top of matplotlib. This means other functions or methods can be used in conjunction with tufte plots.
Note: plots shown for demonstration purposes only, thus no titles or axis labels are used.