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The challenges' numbering was updated #171

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10 changes: 5 additions & 5 deletions episodes/03-data-structures-part1.Rmd
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Expand Up @@ -373,7 +373,7 @@ class(categories)

::::::::::::::::::::::::::::::::::::::: challenge

## Challenge
## Challenge 3

Can you guess why these numbers are used to represent these countries?

Expand All @@ -389,7 +389,7 @@ They are sorted in alphabetical order

::::::::::::::::::::::::::::::::::::::: challenge

## Challenge 3
## Challenge 4

Convert the `country` column of our `nordic` data frame to a factor. Then try
converting it back to a character vector.
Expand All @@ -402,7 +402,7 @@ Remember that you can reload the `nordic` data frame using

::::::::::::::: solution

## Solution to Challenge 3
## Solution to Challenge 4

Converting character vectors to factors can be done using the `factor()`
function:
Expand Down Expand Up @@ -508,7 +508,7 @@ str(nordic[1, ])

::::::::::::::::::::::::::::::::::::::: challenge

## Challenge 4
## Challenge 5

There are several subtly different ways to call variables, observations and
elements from data frames:
Expand All @@ -527,7 +527,7 @@ Try out these examples and explain what is returned by each one.

::::::::::::::: solution

## Solution to Challenge 4
## Solution to Challenge 5

```{r, eval=TRUE, echo=TRUE}
nordic[1]
Expand Down
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