For this midterm, I analyzed trends in issues of the X-Men comics during Chris Claremont’s 16 years writing them. I cleaned and formatted the data to create a bar graph demonstrating this data with Flourish.
I chose the same dataset as you do! I feel your pain with cleaning that massive Claremont dataset in Openrefine. Filling blanks with zeros is very very tedious but totally necessary for Flourish to work. Your conclusion was the best part though. Realizing that the data weakness of Storm is just the writers nerfing an overpowered character is a great example of why distant reading is valuable!
Great analysis work using the trends from the comments! The focus of your project is very interesting, and you make a great point about the importance of distant reading in distinguishing actual character weakness from narrative choices made by comic book authors. It is amazing to see the pieces of information, such as the specific appearances of certain characters per issue, subtly extracted from your analysis. Your work to overcome the data set issues was extremely impressive, and hearing your process gives me helpful tools if I ever encounter a similar issue.
Jackson, I loved your project using the X-Men data set. The trends you examined and the data cleaning process you used were very impressive. It is interesting to hear your analysis of “weakness”. That provided a perspective that I wouldn’t have ever thought of, which shows the power of digital humanities within the scope of the data set you used. The implicit trends show major tendencies from the creators, which can be very insightful when unpacking their works.
I love the way you laid out your website! It makes it very easy to track your motivation, methods, and sources. I really enjoyed your data analysis. I think you made very thoughtful and meaningful conclusions using what you extracted from the data and presented it in a very accessible way. Your project does a great job of showing how passion motivates digital humanities projects.
This is great work Jackson! I really appreciate how you took the time to dig through all that data, and find make something you were really interested in! I also think it was a great choice to present your data analysis how you did, as it really does make a great digital humanities project! Nice job!
I really like what you have done here, Jackson! It makes it a lot smoother when you can find something you are interested in and pursue that avenue with humanity. I like the bar graph you presented; it was clean and easy to follow. I’m glad you acknowledged the challenges you faced and were able to overcome the dataset issues. Well done!
I chose the same dataset as you do! I feel your pain with cleaning that massive Claremont dataset in Openrefine. Filling blanks with zeros is very very tedious but totally necessary for Flourish to work. Your conclusion was the best part though. Realizing that the data weakness of Storm is just the writers nerfing an overpowered character is a great example of why distant reading is valuable!
Great analysis work using the trends from the comments! The focus of your project is very interesting, and you make a great point about the importance of distant reading in distinguishing actual character weakness from narrative choices made by comic book authors. It is amazing to see the pieces of information, such as the specific appearances of certain characters per issue, subtly extracted from your analysis. Your work to overcome the data set issues was extremely impressive, and hearing your process gives me helpful tools if I ever encounter a similar issue.
Jackson, I loved your project using the X-Men data set. The trends you examined and the data cleaning process you used were very impressive. It is interesting to hear your analysis of “weakness”. That provided a perspective that I wouldn’t have ever thought of, which shows the power of digital humanities within the scope of the data set you used. The implicit trends show major tendencies from the creators, which can be very insightful when unpacking their works.
I love the way you laid out your website! It makes it very easy to track your motivation, methods, and sources. I really enjoyed your data analysis. I think you made very thoughtful and meaningful conclusions using what you extracted from the data and presented it in a very accessible way. Your project does a great job of showing how passion motivates digital humanities projects.
This is great work Jackson! I really appreciate how you took the time to dig through all that data, and find make something you were really interested in! I also think it was a great choice to present your data analysis how you did, as it really does make a great digital humanities project! Nice job!
I really like what you have done here, Jackson! It makes it a lot smoother when you can find something you are interested in and pursue that avenue with humanity. I like the bar graph you presented; it was clean and easy to follow. I’m glad you acknowledged the challenges you faced and were able to overcome the dataset issues. Well done!