# Chapter 10 Reshaping

In chapter 10 we will actually reshape the AQ data from a wide format to a long format and then calculate total AQ scores from that newly created dataset.Remember there are solutions at the end of the chapter if you get stuck.

## 10.1 Goals

Read in the data and create three objects

use

`pivot_longer`

to take data from a wide format to a long formatisolate one participant and look at their data

Use

`inner_join`

calculate AQ scores with

`summarise()`

and`sum()`

make a histogram of the scores using

`ggplot`

## 10.2 Tasks

### Task 1: Read in data

Complete 10.2. Read in your data and create three objects: `responses`

, `scoring`

, and `qformats`

### Task 2: Using `pivot_longer`

Complete 10.3. Be sure to compare `rlong`

and `responses`

to make sure you understand what `pivot_longer`

does. Complete 10.4 to isolate one participant and see a small portion of your new dataframe.

### Task 3: Construct dataframe

Awesome, you converted the data to a long format, now we need to combine it with data from the other csv files so we can calculate total AQ scores. Complete 10.5 and 10.6 to do this.