NB: Quantitative = continuous
Categorical = Discrete
Uni-variable
| Variable | Charts | Statistics |
|---|---|---|
| Category | Bar Chart, Pie Chart | frequencies ->Chi Square |
| Quantitative | Box Plot, Histogram | descriptive -> single mean or proportion: Hypothesis test |
geom_bar. ggplot2 0.9.3.1geom_bar. ggplot2 0.9.3.1
The bar geom is used to produce 1d area plots: bar charts for categorical x, and histograms for continuous y. stat_bin explains the details of these summaries in more detail. In particular, you can use the weight aesthetic to create weighted histograms and barcharts where the height of the bar no longer represent a count of observations, but a sum over some other variable.
Bi-variables
| Variable | Charts | Statistics |
|---|---|---|
| Category | Bar Chart, Pie Chart | comparing propotion ->Cross Table |
| Quantitative | Box Plot, scatter plot | correlation, regere, anova, t-test |
Multiple-Variables
| Variable | Charts | Statistics |
|---|---|---|
| Category | Clustered Bar Chart for Means, Pie Chart | comparing propotion ->Cross Table |
| Quantitative | Scatter Plot (for grouped data or matrices), Histogram | multiple regrssion, cluster analysis, two-factor anova |
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