_ You should submit two files only: 1. Rmd file or a single R script _le detailing the commented code you used to obtain your answers. 2. _nal document in either pdf or Word which should contain...

Its a piece of very basic r programming work - only expected to have a few weeks of programming experience to have done this work.There is no referencing style needed


_ You should submit two files only: 1. Rmd file or a single R script _le detailing the commented code you used to obtain your answers. 2. _nal document in either pdf or Word which should contain answers to the questions below. { If you created an HTML file, please convert it to pdf. You can use Google Chrome: File > Print > Destination [Change...] > select Save as PDF. _ To get one bonus mark you must submit the Rmd file and the resulting document which shows all your code. _ The assignment grades are capped at a maximum of 10 marks, bonus included. _ The marks available for each question are shown in brackets. _ Assignment 1 is broken up into 3 tasks: data manipulation, analysis, and creativity. _ You may have to learn and discover some new functions. Use help() and help.search() to find what you need. 1 Task 1: Manipulation The dataset EurostatCrime2015.csv records offences (values per hundred thousand in- habitants) by offence category in 41 European Countries in 2015. 1. Load the dataset EurostatCrime2015.csv. Notice that the first column of the csv file contains the names of the countries that must be read as row names [Hint: Load in the file using the function read.csv]. [0.5] 2. What is the size and the structure of this dataset? [0.3] 3. Produce appropriate commands to answer the following questions: (i) Add a new column called Sex.crime which contains the sum of all the crimes that have a sexual component: Rape, Sexual.assault and Sexual.violence [1] (ii) remove the columns Rape, Sexual.assault and Sexual.violence. [1] 4. Work with the dataset you created in question (3ii), and list the countries that contain any missing data. [1] 5. Remove the countries with missing data from the dataframe. [1] 6. What is the size of this new dataframe? [0.2] Task 2: Analysis Produce appropriate commands to answer the following questions: 1. According to these data what was the most common crime in Ireland in 2015? [1] 2. And the 3 least common crimes in Ireland in 2015? [1] 3. Which country have the highest record of offences (per hundred thousand inhabi- tants)? [1] Task 3: Creativity Do something interesting with these data! Create a table or a plot which shows something we have not discovered above already and outline your findings.