Assignment 1: Visualisation

可视化代写 Using visualisation to communicate is an important skill. Often, visualisations accompany text to reinforce, illustrate and explain…

Assessment overview

Using visualisation to communicate is an important skill. Often, visualisations accompany text to reinforce, illustrate and explain key ideas. For this assignment, you will need to produce 5 plots using a topic of your choosing, analyse the data, and demonstrate your data visualisation skill as a communication method to the broad audience.

Assessment details 可视化代写

Step 1: Choose a dataset

You can choose one of the following four datasets to focus on for the assessment:

  1. Food Consumption and CO2 Emissions(GitHub, 2020): This data describes the CO2 emissions for different food groups and the consumption per person for different countries. Details on downloading the data and how it was created are available in the link.
  2. Coffee ratings(GitHub, 2020): This data records different coffee beans by their attributes and their professional rating. Details on downloading the data, codebooks and how it was created is available in the link.
  3. Animal Outcomes(GitHub, 2020): This data records the outcomes for different types of animals surrendered to the RSPCA in different states and years (there is also data for complaints but focus on the animal outcomes). Details on downloading the data, codebooks and how it was created is available in the link.
  4. World Development Indicators(The World Bank, 2021): To use this data, you will need to select some countries, variables of interest (the series tab) and years of interest. Download the data as a CSV file. Each of the series has an information button next to the select box that provides more information about how it is measured.
可视化代写
可视化代写

Step 2: The Task

You are required to create five (5) visualisations that help you to draw some insight from the data. For each plot you must also write a short paragraph describing the plot and drawing insights about the data. The total word count is 1000 words which is an average of 200 per plot (although in most cases roughly 150-200 words per plot should suffice). You are allowed to add additional data, e.g. population size or GDP by country to help you create interesting graphs. Also note part of the data is pre covid and you might be able to see the lockdown effects in the electricity consumption.

For each plot 20 points each, you will be evaluated on the following criteria: 可视化代写

  • Is the plot well presented? (5 points)
  • Avoid over plotting, make sure the plot is correctly labelled and use appropriate scales and colours. (5 points)
  • Have you correctly described what is shown on the plot? Can you describe this using statistical terminology such as skewness, correlation, outliers, seasonality etc.? (5 points)
  • Do you draw insights about the real data from the plot? Can you relate what is shown on the plot to something relevant to the actual application. Can you discuss the limitations of the conclusions that you make? (5 points)
  • Is the plot original? Different plots should demonstrate different features. You should not simply plot 5 minor variations of the same plot. You need to demonstrate an ability to create very different visualisations.
  • Note that a plot with facetting will count as a single plot.

Submission 可视化代写

A pdf document should be submitted were each plot and the corresponding text fits on one A4 page. For each plot the code needs to be supplied in an appendix. E.g

  1. Plot: Comparing X and Y
  • Text: Explaining and drawing conclusion
  1. Plot: Comparing X and Y
  • Text: Explaining and drawing conclusion

Appendix: 可视化代写

  1. Code: ggplot(…
  2. Code: ggplot(…

 

There is no need to include data manipulation statements or loading libraries. This equates to a maximum length of 6 A4 pages. You can use Microsoft Word or similar to compile all the graphs with text together.

 
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