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typo #1

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2 changes: 1 addition & 1 deletion dplyr.Rmd
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Expand Up @@ -266,7 +266,7 @@ The `group_by()` function is used to generate summary statistics from the data f

The general operation here is a combination of splitting a data frame into separate pieces defined by a variable or group of variables (`group_by()`), and then applying a summary function across those subsets (`summarize()`).

First, we can create a `year` varible using `as.POSIXlt()`.
First, we can create a `year` variable using `as.POSIXlt()`.

```{r}
chicago <- mutate(chicago, year = as.POSIXlt(date)$year + 1900)
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