--- title: "Write your title here" author: "Write your name here" date: "Write the date here" output: pdf_document: default html_document: default word_document: default --- ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE) ``` ## Problem 1 The data base `CARS2004` of the package `PASWR2` contains the numbers of cars per 1000 inhabitants (`cars`), the total number of known mortal accidents (`deaths`), and the country population/1000 (`population`) for the 25 member countries of the European Union for the year 2004 1. Summarize the data using `R`. 2. Use the `eda` function in package `PASWR2` to conduct an exploratory analysis of variable `deaths` ### Item 1 ```{r} library(PASWR2) summary(CARS2004) ``` You can observe that the `R` code and the output of the analysis appear when you compile the document. ### Item 2 Use the `eda` function in package `PASWR2` to conduct an exploratory analysis of variable `deaths` ```{r} eda(CARS2004$deaths) ``` In this case, the `R` code, the numeric output of `eda` function and the graphical output of `eda` function appear in the final document. #Use this file to hand in your monitoring proofs in a simple and smart document.