Editing Statistics and Statistical Programming (Fall 2020)/pset3
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* total number of searches that month/year | * total number of searches that month/year | ||
* proportion of total searches (within the <code>subject_race</code> group identified for the row). | * proportion of total searches (within the <code>subject_race</code> group identified for the row). | ||
''Note that this will result in a data frame with multiple rows per month/year (as many as one row for each <code>subject_race</code> category) | (''Note that this will result in a data frame with multiple rows per month/year (as many as one row for each <code>subject_race</code> category)''). | ||
2. Use <code>ggplot2</code> and the [https://ggplot2.tidyverse.org/reference/geom_path.html <code>geom_line</code>] layer to generate each of the plots. Note that you'll want to assign <code>subject_race</code> as an aesthetic element ( | 2. Use <code>ggplot2</code> and the [https://ggplot2.tidyverse.org/reference/geom_path.html <code>geom_line</code>] layer to generate each of the plots. Note that you'll want to assign <code>subject_race</code> as an aesthetic element (`aes`) for some of the plots so that ggplot2 represents each category as a separate line (maybe distinguished by color?). Make sure to incorporate useful titles, axis labels, and legends for each plot you produce. Recall that the R tutorials include examples of using <code>aes</code> with <code>ggplot2</code>. | ||
=== PC6. Calculate baseline population proportions for relevant race/ethnicity categories === | === PC6. Calculate baseline population proportions for relevant race/ethnicity categories === |