# Rubric

1. (1 p) Concatenate all HW assignments as described below.

2. (1 p) Dataset is specified.

3. (1 p) Variables from the personal codebook are indicated.

4. (2 p) The data are loaded and a data.frame subset is created by selecting only the variables in the personal codebook.

5. (1 p) Output confirms the subset is correct (e.g., using dim() and str()).

6. (2 p) Rename your variables to descriptive names (e.g., from “S3AQ3B1” to “SmokingFreq”).

7. (2 p) Provide numerical summaries for all variables (e.g., using summary()).

In-class: Concatenate all HW assignments, then create subset of data and provide a few numerical summaries.

Starting now, we will concatenate all our HWs (with in-class assignments) together to retain the relevant information needed for subsequent sections. You will also have an opportunity to revisit previous parts to make changes or improvements, such as updating your codebook, modifying your research questions, improving tables and plots. Please organize your sections and subsections using the # and ## symbols, and generate a table of contents by using the “toc: true” in the yaml (see any previous Rmd file on the website).