Assessment declaration checklist

Please carefully read the statements below and check each box if you agree with the declaration. If you do not check all boxes, your assignment will not be marked. If you make a false declaration on any of these points, you may be investigated for academic misconduct. Students found to have breached academic integrity may receive official warnings and/or serious academic penalties. Please read more about academic integrity here. If you are unsure about any of these points or feel your assessment might breach academic integrity, please contact your course coordinator for support. It is important that you DO NOT submit any assessment until you can complete the declaration truthfully.

By checking the boxes below, I declare the following:

I understand that:

I agree and acknowledge that:

Deconstruct

Original

The original data visualisation selected for the assignment was as follows:


Source: europe.magazine on Instagram (2024).


Objective and Audience

The objective and audience of the original data visualisation chosen can be summarised as follows:

Objective

The objective of the data visualisation was to compare the ages that young people leave their parents’ homes in different European countries.

Audience

The audience of the data visualisation was the general European public and the wider international audience interested in the average ages when people from different European countries become independent.

Critique

The visualisation chosen had the following three main issues:

  • The chosen chart type does not represent the data clearly. The sizes of each circle do not differ greatly from each other and are not ordered, making the data hard to read.
  • The positioning of the circles is meant to approximate the location of the country that each circle represents, but this is unclear and the positioning ends up seeming random and reducing the clarity of the visualisation.
  • The usage of colours in the visualisation does not follow a consistent pattern, and is unnecessary as other features in the visualisation are used to show the same data. As a result, the colours only serve to confuse the viewer.

Reconstruct

Code

The following code was used to fix the issues identified in the original.

library(ggplot2)
data <- read.csv("data.csv", header=TRUE, stringsAsFactors = FALSE, colClasses = c("NULL","NULL","NULL","NULL","NULL",NA,"NULL",NA))
p1 <- ggplot(data, aes(x=OBS_VALUE, y=reorder(geo, +OBS_VALUE))) + geom_bar(stat="identity", fill="turquoise") + labs(title="Average age of young people leaving the parental household in Europe, 2022", x="Age", y="Country") + theme(plot.title = element_text(size=12))

Reconstruction

The following plot fixes the main issues in the original.

References

The reference to the original data visualisation choose, the data source(s) used for the reconstruction and any other sources used for this assignment are as follows: