Ability to create data visualisations in R All visualisations are created appropriately and without error. All data files are imported in correct format Some visualisations created without error. Some data files imported with no errors Limited ability to create visualisations. Some data imported with errors Able to identify data visualisation tools. Able to identify data importing tools Correct visualisation theory applied to charts and ability to convey information through data visualisation All visualisations are informative, efficient and beautiful. All visualisations clearly convey the appropriate message Most visualisations are informative, efficient and beautiful. Some visualisations convey the appropriate message Some charts are informative, efficient and beautiful. Limited ability to convey messages though data visualisation Able to identify appropriate chart type. Able to identify appropriate message

ASSESSMENT CRITERIA Assessment criteria A (80-100%) B (70-79%) C (60-69%) Pass (50-59%) Ability to describe elements of data visualisation All visualisations are described clearly and concisely. Descriptions include information about all relevant visual elements. Some visualisations are described clearly and concisely. Descriptions include some information about the relevant visual elements. Limited ability to describe visualisations. Limited description of visual elements. The visualisations have a description. Descriptions refer to visual elements.

• The R script (.R file) containing the code you used to produce the visualisation(s). o Each R script should be self-contained. This means that you need to include library(…) commands for any packages you use as well as read.csv(…) commands for any data you are using (you can assume the data sets are in the working directory). • All questions are worth 20 marks. Marks will be allocated for: o R scripts that contain all relevant code (including library calls and functions for importing data) and run without error. o Visualisation descriptions that are clear and concise, make reference to the relevant visual elements used (e.g. chart type, colour, size, shape, etc.), and visualisation techniques (e.g. informative titles, highlighting, annotating, faceting, etc.) o Visualisations that are able to effectively convey information using appropriate techniques. • This assignment forms 40% of your total assessment for the subject. • The data sets needed for this assignment are located on the LMS in CSV format. The LMS also contains a data-dictionary for each data set (please refer to this so you know what the variables in the data represent).

This assignment is entirely based on R. Im looking to answer maybe 3 out of 5 questions • A pdf document containing the visualisation (or visualisations) and a short (50-100 words) explanation of your visualisation. o The description should include what you are trying to show and how you have chosen to show it. o E.g. This visualisation is showing the change in unemployment rate over time. I have used a line chart to show the change over time. Colouring has been used to discriminate between different cities. The city of New York has been highlighted by increasing the thickness of its line.