Index A | B | C | D | E | F | H | I | K | L | M | N | O | P | R | S | T A A/B test add axes (add_axes) alpha (transparency) Alternative hypothesis axes axes methods axis label axis range (set_xlim and set_ylim) B bar plot bin Bootstrap Bootstrap distribution bootstrap percentile method boxplot C Causality Chance model chapter topics Chart selection color (hex code) confidence interval Confidence level confidence level Confounding cover D Data quality Difference in means Difference in proportions DPI E Effect size expression F figure figure size (figsize) figure title (suptitle) figure-level settings format string H histogram I inset axes installing Matplotlib interquartile range K keywords L legend, [1] line plot (plt.plot) line style line width M marker Matplotlib Median N Null distribution Null hypothesis, [1] O object-oriented interface, [1] One-sided test outlier P P-value pandas plotting Parameter Percentile Permutation plot parameters plot types Population Potential outcomes Practical significance pyplot pyplot commands R Random assignment Random sampling rcParams Relative lift Resample resolution S saving figures (savefig) scatter plot (plt.scatter) shared axis (sharey) Significance level stateful interface, [1] statement Statistic Statistical bias Statistical power Statistical significance style sheet (plt.style.use) styling charts subplot (plt.subplot) subplots (plt.subplots) T Test statistic tight layout (tight_layout) title title page Total variation distance Two-sided test Type I error Type II error
