Grab_Bag

This repo collects all the notebooks (& related scripts) that add up to no greater whole or theme, but that I do not (yet) wish to throw away. In reverse chronological order.

Please note: as of 14 May 2022, all code, data, and image files associated with this repository are now CC0 (Public Domain). Any text commentary remains copyright © 2022 to the respective authors.

How typical is a 50 meters redwood?

In Spring 2021, I taught a course entitled “Telling Stories with Data” (TSD), which introduced non-STEM majors to the Tidyverse and basic data visualization and analysis. We talked about the importance of putting numbers in context -- in understanding a given value as part of a distribution. One question I had for my students: How unusual is it for a redwood tree to be 50 meters tall? How do we make sense of 50 meters in this context? So a brief application of the CLT.

RMD archived here. Report at RPubs:

1. How typical for a redwood?

2021-08-28

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Exploring Student Height (the Central Limit Theorem)

In Spring 2021, I taught a course entitled “Telling Stories with Data” (TSD), which introduced non-STEM majors to the Tidyverse and basic data visualization and analysis. I had bright students, but ones who typically had NO prior experience with either statistical analysis or computer programming. So TSD was designed as a soft entry, beginner-level guide to working with data. One early part of the course involved the students learning about distributions, including the normal distribution and the Central Limit Theorem (CLT). To help them explore the normal distribution and the CLT, I made some custom graphing functions (that process described in this markdown). We used these in our class. The custom functions, their associated data, and the related RMDs and script freely available here.

The RMDs published also at Rpubs:

1. Customized Graphs for Norm Dist
2. Student Height: Fun with the ND

2021-08-26

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Old Exam

Code and RMD here. Report at RPubs:

1. A Tidyverse Exam Note

2021-07-26

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The following applies to all code, data, and image files associated with this repository. Any text commentary remains copyright © 2022 to the respective authors.

To the extent possible under law, Thomas J. Haslam has waived all copyright and related or neighboring rights to Grab_Bag. This work is published from: United States.

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