- Read/ annotate: Recipe #11. You can refer back to this document to help you at any point during this lab activity.
- Note: do your best to employ what you've learned and use other existing resources (R documentation, web searches, etc.).
- Gain experience working with coding strategies to prepare, feature engineer, explore, and evaluate results from exploratory data analyses.
- Practice transforming datasets into new object formats and visualizing relationships
- Implement organizational strategies for organizing and reporting results in a reproducible fashion.
In this lab we will be exploring tweets collected from the Twitter API between October 14 to 25, 2021 for the search terms: faucet, spigot, frying pan, skillet, pail, bucket, coke, pop, soda, you guys, y'all, yall.
In this lab the code has been provided in the file lab_11.Rmd. You task will be to add the relevant prose to describe the steps as if it were part of your research project.
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Change the
author: "<Your Name Here>"line in the front matter to reflect your name. -
Add descriptive prose to the
lab_11.Rmdscript to describe each of the code chunks that implement coding steps for producing this analysis and their output results. -
As always, provide a self-assessment of your progress in this lab.
Some questions to consider:
- What did you learn?
- What was most/ least challenging?
- What resources did you consult?
- What more would you like to know about?
- To prepare your lab report for submission on Canvas you will need to Knit your R Markdown document to PDF or Word.
- Download this file to your computer.
- Go to the Canvas submission page for Lab #11 and submit your PDF/Word document as a 'File Upload'. Add any comments you would like to pass on to me about the lab in the 'Comments...' box in Canvas.