A/B Testing for ShoeFly.com - Step 4
https://www.codecademy.com/courses/learn-r/projects/r-aggregates-shoefly
I continue to get this error when I execute my code, any assistance would be greatly appreciated
# define clicks_by_utm here:
percentage_by_utm <- clicks_by_utm %>%
group_by(utm_source) %>%
mutate(percentage = count/sum(count))
Error in sum(count): invalid 'type' (closure) of argument
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percentage_by_utm
Error in eval(expr, envir, enclos): object 'percentage_by_utm' not found
I tried to solve for this by adding: summarize(count = n() ) %>%
above the mutate line
but that set each of the percentages to 25% rather than the % for click rate by UTM_Source
Here is the instructions for step 4
To find the percentage of people who clicked on ads from each utm_source , we need to add a new column to ad_clicks that stores the count of clicks (or the count of not clicking) divided by the total number of ad views.
Group clicks_by_utm by utm_source and pipe the result into mutate() , creating a new column percentage that is defined as count/sum(count) .
Save your result to percentage_by_utm and view it. Open the hint for a description of the percentage_by_utm data frame.
Hint
To group together the rows of clicks_by_utm with the same value for utm_source with group_by() :
percentage_by_utm <- clicks_by_utm %>% group_by(utm_source) %>%
To add a column that stores the percentage of users who did or did not click on the ad, pipe the result from the grouping into mutate() and create a new column percentage defined as count/sum(count) :
percentage_by_utm <- clicks_by_utm %>% group_by(utm_source) %>% mutate(percentage = count/sum(count))
-
countrepresents the number of users who did or did not click on an ad -
sum(count)represents the total number of users who saw the ad
percentage_by_utm will now contain the click and non-click rates for each utm_source / ad_clicked grouping.