Comments (3)
I added this in #166, but it could still use a good review. I'm wondering if we can (in particular) highlight some future directions (and maybe challenges) for the field here? not sure. We can also perhaps summarize some of the main points from the book?
from data-science-in-education.
There's a bit of overlap between the Learning More chapter and the Conclusion. I think we can move some of the Take on Challenges/turning to something else to the Learning More chapter. Maybe the Conclusion chapter can focus more on addressing things we brought up in the Intro?
Also, @joshuarosenberg can you check the references in the latest render at the bottom of the Conclusion chapter please? You can see this code:
if (knitr::is_html_output()) ‘# References {c20}’
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Closing this and referencing #324
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Related Issues (20)
- Add edits from final version of book
- Switch from travis to GitHub Actions? HOT 1
- Write up errata for Chapter 14
- Flesh out 4.2.4 Advancing Equity
- Walkthrough 2 - order graph
- Walkthrough 2 - examine autocorrelation
- Walkthrough 2 - typos HOT 1
- Use forcats for reverse code?
- Typos
- Add more on network concepts for walkthrough 6
- Chapter 13 - edits
- Generally add more on what to do with analysis/results
- Add chapter discussion questions HOT 1
- Add alternative text where there isn't any
- NRC lexicon unavailable HOT 1
- dummies package is no longer available HOT 1
- Feedback from Virgil Pierce
- Update from caret to tidymodels
- Update social network used in walkthrough 5 (Ch 11)
- Update the dataset used in the machine learning walkthrough
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