chartcheck

Score any chart against a 13-item Data Visualization Checklist, right inside a Jupyter notebook.

Install

pip install chartcheck

Use

from chartcheck import chartcheck

df, fig = chartcheck()

You will be prompted for each of the 13 items. Enter 0, 1, or 2, then optionally type a short justification (press Enter to skip).

When you finish, chartcheck() displays and returns:

• df - a pandas DataFrame with #, Category, Item, Score, and Justification.
• fig - a matplotlib 100% stacked bar chart showing, for each of the 5 categories (Text, Arrangement, Color, Story, Overall), the share of possible points earned vs. missed. The larger the missed segment, the more the chart is deficient there.

Evaluating the total score

Options

• chartcheck(show=False) - return the DataFrame and figure without displaying them.
• chartcheck(inputs=[...]) - supply answers programmatically (score, justification, score, ...).
• plot_category_scores(df) - redraw the chart from a saved DataFrame.

License

MIT