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help me please #15
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help me please #15
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ggplot() + | ||
geom_col(aes(x = name, y = value, fill = name)) | ||
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``` |
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Great work. I didn't even complete this.
kenya_update <- kenya_county_climates %>% | ||
select(County, contains("Precipitation")) %>% | ||
filter(Precipitation_585_90 > mean(Precipitation_585_90)) %>% | ||
pivot_longer(!County) |
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"!" for exclude, great shortcut!
geom_col(aes(x = name, y = value, fill = name)) + | ||
facet_wrap(~County) | ||
``` | ||
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Great work; I didn't get through this part. 1,000 points.
map(filter(County)) %>% | ||
ggplot() + | ||
geom_col(aes(x = name, y = value, fill = name)) | ||
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Your way seems more straight forward to me than the key. Extra 1,000 points assigned.
I know not how to map() my plot. The challenge killed me ⎧ᴿᴵᴾ⎫◟◟◟◟◟◟ ❀◟(ó ̯ ò, )
Please review my coding exercise m(._.)m