Use Color to Highlight Findings

For some reason, R seems to be reading data as non-numeric (I think). I've been running this code:

enrollment_by_race_ethnicity %>% filter(race_ethnicity == "Hispanic or Latino") %>% pivot_wider(id_cols = c(district, district_id), names_from = year, values_from = percent) %>% mutate(growth = "2018-2019" - "2017-2018")

I receive the error message: Error: Problem with mutate() input growth. x non-numeric argument to binary operator i Input growth is "2018-2019" - "2017-2018".

Both the 2017-2018 and 2018-2019 variables show up as so I'm not sure why they are being interpreted as non-numeric. In case it's relevant, 2017-2018 and 2018-2019 both show up in green in my code, but it looks like they showed up in black in your code.

By the way any good and practical statistics course to recommend?

Hello! I get two straight vertical red lines at each side of the plot, in correspondence with the beginning and end of the period of time plotted. What can I do differently to not have that?

Here's my code:

enrollment_by_race_ethnicity %>% filter(race_ethnicity == "Hispanic/Latino") %>% ggplot(aes(x = year, y = percent_of_total_in_school, group = district)) + geom_line(color = "gray67") + geom_line(data = highlight_district, inherit.aes = TRUE, color = "firebrick")

Hi David, for some weird reason when I create the highlight district, I get 2 observations and 6 variables? Is there an error that I am doing? I notice the Douglas ESD has 14 observations when I filter the enrollment data.

Hello! How can I use filter to select not just one district, but say the top 3 or top 5 districts with the largest growth so I can highlight those instead of just one?

The code that shows up under the Solutions video is only a partial portion of the code needed to get to the solution. It omits the pivot_wider() and mutate() portions of the code that are shared in the Solutions video.

Could you nest a function in the data argument for ggplot, like a "highlight_district" function with an argument for district_id to allow you to recreate this chart many times? I tried to do this with highlight_district % filter(race_ethnicity == "race_ethnicity") %>% filter(district_id == "district_id") }

highlight_district("1980", "Hispanic/Latino")

But it didn't work on its own, let alone within a ggplot argument.

Hi!

Could you please explain a little further what changes when you add the "`" symbol?

Thanks!

When I pivot_wider I am not getting a percent for the school year. I get for 2018-2019 and for 2017-2018. What am I doing wrong?

Here's my code. I'm getting a response that I have one dbl for 18-19 and two dbl for 17-18. I seem to have an extra row of 17-18 data but don't know how to get rid of it or how it got added. https://gist.github.com/AlyssaCarr/0ecf6ee0b5f91586213ae5a1710a5471

Thanks for the note on statistical interpretation. Will tackle 'Inferential Statistics using R' after this. Also the list of colors in R link is useful! 😊🙏🏼

I am having issues with creating a variable for growth in Hispanic population from 2017-2018 to 2018-2019. I use the backticks, but still get an error message that the object 2018-2019 is not found. Here is the link to my code: https://github.com/zainasaf/zain_rin3 project/commit/7211a8f62f3ce24b0622a67334e196befee85898

I am having issues with creating a variable for growth in Hispanic population from 2017-2018 to 2018-2019. I use the backticks, but still get an error message that the object 2018-2019 is not found. Here is the link to my code: https://gist.github.com/zainasaf/df9e2a8709660366e88e2f07ab6d1642