ANALYSIS TOOL BOX

18 functions

Visualizations

Publication-ready charts and data visualizations.

Functions

Plot100PercentStackedBarChart

Generate a 100% horizontal stacked bar chart visualizing completion or composition.

PlotBarChart

Generate a formatted horizontal bar chart for categorical data comparison.

PlotBoxWhiskerByGroup

Create a formatted box-and-whisker plot for grouped data comparisons.

PlotBulletChart

Generate a formatted horizontal bullet chart to visualize performance against targets and ranges.

PlotCard

Create a clean, card-style visualization for a single KPI or metric.

PlotClusteredBarChart

Generate a formatted clustered bar chart for multi-category data comparison.

PlotContingencyHeatmap

Generate a formatted contingency heatmap to visualize relationships between categorical variables.

PlotCorrelationMatrix

Generate a correlation matrix or multi-variable pairplot.

PlotDensityByGroup

Generate a formatted kernel density estimate (KDE) plot grouped by a categorical variable.

PlotDotPlot

Generate a formatted horizontal dot plot (dumbbell chart) to compare two groups.

PlotHeatmap

Generate a formatted heatmap to visualize three-dimensional categorical data.

PlotOverlappingAreaChart

Generate a formatted overlapping area chart for multi-variable time series comparison.

PlotRiskTolerance

Generate a formatted histogram to visualize risk tolerance and simulated outcomes.

PlotScatterplot

Generate a scatter plot with optional regression lines and quadrant labels.

PlotSingleVariableCountPlot

Generate a formatted horizontal bar chart showing frequency counts for a single categorical variable.

PlotSingleVariableHistogram

Generate a formatted histogram to visualize the distribution of a single numeric variable.

PlotTimeSeries

Generate a formatted time series line chart with optional grouping.

RenderTableOne

Generate and display a standardized summary table (Table 1) for baseline characteristics.

18 chart functions that produce publication-ready output with a consistent visual style. No tweaking matplotlib defaults.