Data Visualization of Age and Gender of COVID-19 cases in Fulton County

R code
1

Describe your issue

I would like to know if an alternative way to visualize the Age and Gender of COVID-19 cases in Fulton County (Covid Report) is acceptable asides the template pyramid plot.

What steps have you already taken to find an answer?

  • I currently used a horizontal plot

Provide an example of your R code

ggplot(covid_data_perc, aes(x = age_group, y = percent, fill = gender)) +
  geom_bar(stat = "identity", position = "dodge") +
  coord_flip() + # Flip coordinates to make it a horizontal pyramid
  scale_fill_manual(values = c("Male" = "#1f77b4", "Female" = "#ff7f0e")) + # Adjust colors if needed
  theme_minimal() +
  labs(
    title = "Age and gender of COVID-19 cases in Fulton County",
    caption = "Fake dataset for course exercise",
    x = "Percent of total",
    y = "Age group",
    fill = "Gender"
  ) +
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank()) # Remove grid lines for a cleaner look

Follow-up

  • Much appreciation to the tutors for their guidance during this course.
1 Like
2

Hi,

I think how you display your data can depend on your audience, at the end of the day the point of the visualization is to communicate something with them. I think your plot, which is a dodged bar plot, is a legitimate alternative to a population pyramid. You could also consider using a stacked bar plot since the percentages should add up to 100%.

All the best,

Tim