Minor fixes
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@ -64,7 +64,7 @@ y2 <- factor(x2, levels = month_levels)
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y2
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y2
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```
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```
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If you want a want, you can use `readr::parse_factor()`:
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If you want an error, you can use `readr::parse_factor()`:
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```{r}
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```{r}
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y2 <- parse_factor(x2, levels = month_levels)
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y2 <- parse_factor(x2, levels = month_levels)
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@ -773,7 +773,7 @@ Just using means, counts, and sum can get you a long way, but R provides many ot
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# What proportion of flights are delayed by more than an hour?
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# What proportion of flights are delayed by more than an hour?
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not_cancelled %>%
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not_cancelled %>%
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group_by(year, month, day) %>%
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group_by(year, month, day) %>%
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summarise(hour_perc = mean(arr_delay > 60, na.rm = TRUE))
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summarise(hour_perc = mean(arr_delay > 60))
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```
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```
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### Grouping by multiple variables
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### Grouping by multiple variables
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