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Contingency Table
Table that summarizes data for two categorical variables
Stacked bar plot
Graphical display of contingency table information, compare sto variables on top of each other *not added
Side by side bar plot
Compares two variables side by side
When is stacked, side by side, or standardized stacked bar plot the most useful?
Stacked bar plot: assign one variable as explanatory and other as response
Side by side: does not show which variable causes the other, easy to compare cases but requires more horizontal space, also not favorable if groups are different sizes
Standardized bar plot: used if primary variable is relatively imbalanced, shows proportions
Mosaic plot
Resembles standardized stacked bar lot
(Widths = proportions)
Use areas to represent number of cases in each category
Side by side plot
Traditional tool for comparing across groups
Hollow histograms
Compare numerical data across groups (shown with outline)
Hollow histograms vs side by side plots
Hollow histograms: useful for seeing distribution and skew
Side by side boxplots: useful for comparing centers and spreads
Scatterplot
Case by case data for two numerical variables
Dot plot
One variable scatterplot
Formula for end of whiskers
Q1-1.5 times IQR or Q3+1.5 times IQR
Note 
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