Week one #25
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Week one #25
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Oshintiwari
approved these changes
Oct 30, 2023
| select(County, contains("Precipitation")) %>% | ||
| filter(Precipitation_585_90 > mean(Precipitation_585_90)) %>% | ||
| pivot_longer(cols = -County) | ||
| ``` |
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Great work here using pivot_longer to reshape the data from wide format to long format, with each row representing a unique combination of 'County' and a specific type of precipitation.
| # fix the labels | ||
| theme(axis.text.x = element_text(angle = 90)) + | ||
| facet_wrap(~County) | ||
| ``` |
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Code for calculating number of counties is not here. The code for plotting a bar graph looks great.
| plots <- | ||
| map(counties, | ||
| ~ data_filtered %>% filter(County == .x) %>% ggplot(aes(x = name, y = value)) + geom_col()) | ||
| ``` |
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complete assignment part 2