---
title: "ADA1: Class 07, Plotting bivariate"
author: "Your Name Here"
date: "`r format(Sys.time(), '%B %d, %Y')`"
output:
html_document:
toc: true
---
---
# Rubric
1. (1 p) Dataset is specified.
2. (1 p) Variables from the personal codebook are indicated.
3. (8 p) One of the following (3 p for plot, 3 p for labelled axes and title, 2 p for interpretation):
* Scatter plot (for regression): $x$ = numerical, $y$ = numerical, include axis labels and a title.
Interpret the plot: describe the relationship.
* Box plots (for ANOVA): $x$ = categorical, $y$ = numerical, include axis labels and a title.
Interpret the plot: describe the relationship.
* Mosaic plot or bivariate bar plots (for contingency tables): $x$ = categorical, $y$ = categorical, include axis labels and a title.
Interpret the plot: describe the relationship.
---
In-class: One plot for any combination of variable types: numerical and categorical.
See "HW 04" as starting point.