Graphs Everyone Should Know and How to Create Them in Stata

I Graphs for univariate data

Histograms

Introduction
A basic histogram

Spike plots
Histograms with varying bin widths
Multiple histograms
Mirrored histograms
Ridgeline histograms

Introduction
A basic kernel density plot

Cumulative distribution plots
Multiple kernel density plots
Mirrored kernel density plots
Ridgeline kernel density plots

Introduction
A basic box plot

Horizontal box plots
Box plots with histograms
Multiple box plots

Introduction
A basic violin plot

Horizontal violin plots
Multiple violin plots
Custom widths

Introduction
A basic dot plot

Multiple dot plots
Horizontal dot plots
Beam plots
Dot plots with box plots
Cumulative dot plots

Introduction
A basic stem-and-leaf plot

A graphical stem-and-leaf plot
A horizontal stem-and-leaf plot
Mirrored stem-and-leaf plots

Introduction
Symmetry plots
Skew plots
Quantile-uniform plots
Quantile-normal plots
Quantile χ　plots
Quantile–quantile plots

Introduction
A basic rootogram
Hanging rootograms

Introduction
A basic frequency bar chart
Percentage bar charts
Horizontal bar charts
Sorted bar charts
Multiple bar charts
Dot charts

Introduction
A basic pie chart

Multiple pie charts

Introduction
A basic radar chart

Multiple-radar charts
Radar charts with too few or too many categories
Frequency radar chart

Introduction
A basic scatterplot

Scatterplots with multiple y and x variables
Scatterplots over categorical groups
Scatterplots with marginal distributions
Binned scatterplots

Introduction
A basic heat plot

Hex-heat plots

Sunflower plots

Introduction
A basic area plot

Sparkline plots

Introduction
A basic area plot

Data with variation
Shaded range plots

Pair plots
Multiple area and shaded range plots

Introduction
A basic best fit plot

Quadratic fits
Fractional polynomial fits
Multiple lines of best fit
Custom polynomial fits
Multiple custom polynomial fits
Constrained lines of best fit
Nonparametric fits (smoothers)

Lines of best fit with confidence intervals
Multiple lines of best fit with confidence intervals
Lines of best fit with recast confidence intervals

Introduction
A basic jitter plot
A complex jitter plot
Jitter plots with continuous values

Introduction
A basic table plot

Three-way table plot
Balloon plots

Introduction
A basic two-way frequency bar chart

Introduction
A basic two-way stacked frequency bar chart
Two-way stacked percentage bar chart
Slide plots
Mosaic plots

Introduction
Correlation matrix
Matrix scatterplots

Cross plots
Trellis plots

Introduction
A basic contour plot

Contour-line plots
Contour plots with custom colors
Contour plots with small and incomplete datasets

Introduction
A basic trivariate heat plot

Introduction
A basic bubble plot

Introduction
Basic Chernoff faces

Introduction
A basic triplot

Introduction
A basic 3D scatterplot

3D scatterplot without autoscaling
3D surface plots

Introduction
A basic animated graph

Introduction
A basic rainbow plot
A complex rainbow line plot
A complex rainbow box plot

Introduction
Visualizing coefficients from one regression

Plotting coefficients from two regressions
Plotting coefficients from four regressions
Plotting coefficients from a regression with an interaction term

Introduction
A basic geographic map

Choropleth maps

Submaps

Introduction
A basic mathematical function
A custom equation
A statistical function

Polynomial regression terms

Author index

Subject index

Biography

Franz Buscha is a Professor of Economics in the School of Organisations, Economy and Society at the University of Westminster (London, U.K.) with 20 years of Stata and econometric experience. Franz's research specializes in areas of labour economics, including the returns to education and social mobility. He has published in leading journals, contributed to numerous policy reports, and held prestigious grants. He has even had a radio show called Policy Matters for a few years! Franz loves all things Stata and hopes that he will someday be able to learn everything about it.