Assignment 2

Deconstruct, Reconstruct Web Report

Click the Original, Code and Reconstruction tabs to read about the issues and how they were fixed.

Original

Source: Reddit User foiltape: Blood Type Distribution in the United States

Objective

The target audiences are people who are interested in the distribution of the blood type in USA, which maybe the researcher of the blood type in USA, medical workers, or who intend to donate blood.

The visualisation chosen had the following three main issues:

• It is a pie chart, which lacks of accuracy.
• No labels to identify the exact proportion of each category.
• Using of area is not easy to compare rach category.

Reference

• Reddit r/dataisbeautiful Community. (2019). Blood Type Distribution in the United States. Retrieved September 20, 2019, from Reddit website: https://www.reddit.com/r/dataisbeautiful/comments/cz58sb/blood_type_distribution_in_the_united_states_oc/

Code

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

library(ggplot2)
library(colourpicker)
blood <- data.frame(Blood_Type = c("A+", "A-", "B+", "B-", "O+", "O-", "AB+", "AB-"),
                    Percentage = c(35.7, 6.3, 8.5, 1.5, 37.4, 6.6, 3.4, 0.6))

p1 <- ggplot(data = blood, aes(x = Blood_Type, y = Percentage, fill = Blood_Type))

p1 <- p1 + geom_bar(stat = "identity") + scale_fill_manual(values = c("#0000CD", "#BBFFFF", "#458B00", "#C1FFC1", "#CD3333", "#FFC0CB", "#FFB90F", "#FFF68F")) + labs(title = "Blood Type Distribution in the United States", x= "Blood types", y = "Proportion of each blood type") + geom_text(aes(label = paste(Percentage, "%", sep = ""), vjust = -0.1))

Data Reference

• Wikipedia. (2019). Blood type distribution by country. Retrieved September 20, 2019, from Wikipedia website: https://en.wikipedia.org/wiki/Blood_type_distribution_by_country

Reconstruction

The following plot fixes the main issues in the original.