Good programming practices

Stat 251

2026-02-24

Where we are

Homework 5 - graphics:

• graded with feedback
• grades not as high as I would like them … check the feedback carefully and resubmit!

If you have resubmitted, make sure to resubmit in Canvas as well (or I won’t know that you are ready for me to look at things)

Homework Submissions

• Render your file before the final submission

• and READ over it

• Make sure to

  • avoid lengthy output (like showing the full data set)

  • fix any errors and warnings

  • read the output … e.g. 489 years of data (data manip homework) doesn’t make sense

  • not install packages in the quarto document (rely on the user to figure out installations)

  • not call View (opens separate window during render)

What does the AI say?

• AI Tool for chart critiques

• Don’t take it seriously!!! This is from a course on Data Analytics by Stephen Hill

An example

Homework #6

• relatively short - pay attention to details!

• one (unintentional) trap: co2 object exists in R - leads to extremely strange numbers

Homework 6

The “Data”

• How much do you trust the data in this assignment?

• No? Good call! Something went terribly wrong in the data processing

• Extra Credit: Assemble a data set from gapminder that contains the same/similar variables with corrected data. What went wrong with the data before?

Next time

• Finish up on homework #6 assignment