coding attempt #17
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coding attempt #17
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jedaruba
reviewed
Oct 20, 2023
| ```{r} | ||
| kenya_data <- read_csv("data/kenya_county_climates.csv") | ||
| ``` | ||
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Good job, creating a dataframe for the assignment
jedaruba
reviewed
Oct 20, 2023
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| ```{r} | ||
| precip_kenya <- select (kenya_data, County, contains ("Precipitation")) | ||
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Using contains is a good choice of selecting all precip columns!
jedaruba
reviewed
Oct 20, 2023
| kenya_long <- filt_kenya %>% | ||
| pivot_longer(cols = -County) | ||
| ``` | ||
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jedaruba
reviewed
Oct 20, 2023
| There are many ways to do this! | ||
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| ```{r} | ||
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I did not get to to this part of the exercise as well, I am looking forward to attempting to solve it! good luck.
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My incomplete script -- need to finish this