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improved working on swd exercise #474

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Jul 25, 2023
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improved working on swd exercise #474

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2 changes: 2 additions & 0 deletions episodes/02-starting-with-data.Rmd
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You are going to load the data in R's memory using the function `read_csv()`
from the **`readr`** package, which is part of the **`tidyverse`**; learn
more about the **`tidyverse`** collection of packages
[here](https://www.tidyverse.org/).

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 [uninformative link text]: [here](https://www.tidyverse.org/)
**`readr`** gets installed as part as the **`tidyverse`** installation.
When you load the **`tidyverse`** (`library(tidyverse)`), the core packages
(the packages used in most data analyses) get loaded, including **`readr`**.
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stores data as a `data.frame`, where `read_csv()` stores data as a `tibble`.
We prefer tibbles because they have nice printing properties among other
desirable qualities. Read more about tibbles
[here](https://tibble.tidyverse.org/).

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 [uninformative link text]: [here](https://tibble.tidyverse.org/)

The second statement in the code above creates a data frame but doesn't output
any data because, as you might recall, assignments (`<-`) don't display
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1. Create a tibble (`interviews_100`) containing only the data in
row 100 of the `interviews` dataset.

Now, continue using `interviews` for each of the following activities:

2. Notice how `nrow()` gave you the number of rows in the tibble?

- Use that number to pull out just that last row in the tibble.
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