Z616 Comic Books and Their Readers, Spring 2026

Qualitative, quantitative, and digital methods for studying comic readers and fans

View project on GitHub

Excel lab

Excel Visualization Exercise

Goal

Use Excel to explore a comics-related dataset, create a pivot table, and turn it into a clear visualization.

Context

This dataset comes from the Cooper Comics Collection. It reflects one collector’s effort to reconstruct a comics world centered on a comic book cover that fascinated him in his youth. In that sense, this is not just publishing data: it is also a dataset shaped by collecting, memory, and fandom.

Data

Cooper Comics Collection data

Instructions

  1. Download and open the Cooper Comics Collection data in Excel.
  2. Spend a few minutes looking through the available sheets and columns.
  3. Choose one question that you think the data can help answer.
  4. Select a sheet and create a pivot table from the data.
  5. Use the pivot table to organize the data in a way that helps answer your question.
  6. Create one chart based on the pivot table.
  7. Add a clear title and make sure the chart is readable.
  8. Write 2–3 sentences answering:
    • What question were you asking?
    • What does your visualization show?
    • What is one strength or limitation of this visualization?

Possible questions

  • Which publishers appear most often in this dataset?
  • Which genres appear most often?
  • What patterns appear across dates or time periods?
  • Which titles or categories seem most prominent?
  • What does this dataset emphasize, and what might it leave out?
  • What does this collector’s reconstructed comics world seem to center?

Notes

  • Keep it simple.
  • The goal is to practice using pivot tables and charts, not to produce a perfect final product.
  • If you finish early, try changing the chart type and consider which version communicates the data more effectively.