---
title: "Exercices Module 2"
author: "Anders Mårell"
date: "2023-06-09"
output: html_document
editor_options: 
  chunk_output_type: console
---


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

# Exercice 02 (2nd part)
## Doing a simple calculation on your own

Compute the mean and the standard variation, the minimum, the median, and the maximum of the following data set:

```{r}
x <- c(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)
```

We now calculate the mean:
```{r}
mean(x)
```

We now calculate the standard deviation:
```{r}
sd(x)
```

We now calculate the min:

```{r}
min(x)
```

We now calculate the median:
```{r}
median(x)
```

We now calculate the max:
```{r}
max(x)
```

We can also use summary:
```{r}
summary(x)
```

# Exercise 02 (3rd part)
## Data visualization

Reproduce the first figure (sequence plot):

```{r}
plot(x, type = "l")
```

Reproduce the second figure (histogram):

```{r}
hist(x)
```