- Due March 3
- Refine your visualization, finish the project
- Publish data as a Google Sheet
- Turning everything in
Your main task this week is to incorporate the feedback you got in class and refine your visualization. This version should be as carefully refined as you can using the tools we've covered so far or that you already are familiar with. Think about what story your data tells and how best to show us it. If you need additional data or want to learn more about a feature of Illustrator that will make your visualization better, go for it!
When your visualization is done, the other main task this week is to publish your data online. It's very likely that you've modified the original data in some way: removing columns, renaming things in the header, or even merging multiple datasets. By publishing our data for everyone to see, we accomplish a few things: people can trace and audit our work, and they can use your data in their own projects (making your hard work pay off in a way that extends beyond your own visualization).
📈 See an example dataset with info tab here 📉
Go back to your original Sheets file, fixing/adding the following items:
- Clean up formatting, such as:
- Font and font size
- Column layout (manually or right-click column →
Resize column → Fit to data
) - Remove extra data or columns
- Rename spreadsheet to something clear
- Click the tab at the bottom (probably the filename you imported) and rename to something like
Data
Then create another tab in your spreadsheet:
- Call it
Info
or something similar - Add visualization info:
- Title of the visualization you made with this data
- Your name
- Link to the project
- Sources
- Author (person, organization, etc)
- URL to the data
- Column descriptions
- Explain what each column in the data is
- Might include an extra
Notes
section if there's more to add
- Any other info you want to include! More info and context is always great, letting folks dig in deeper if they want
If you want to see some examples of how folks have published their own data, check out these examples:
- The Pudding
- Information is Beautiful
- Five Thirty-Eight
- Reconstructing Early African American Film History Database
(Note: most of these are hosted on Github, which is a lot harder to use than Google Sheets. If you'd prefer to use Github, go for it! Just make sure your repository is public.)
When finished, please submit to Canvas:
- The link to your published dataset on Google Sheets
- Your Illustrator file as a PDF (we'll do this in class together next week)