S&DS 361 Notes
1 Getting started
2 Formatting plots with pubtheme
- 2.1 Simple Example
- 2.2 Gallery
I Explore NBA data with tidyverse
3 Introduction
- 3.1 What questions can we ask?
- 3.2 Intro to NBA games data
4 Game level data
II EV charging stations
5 Explore EV Charging Station data
6 Maps
7 Growth over time
III Random
8 Introduction
9 Project development and planning
10 Data acquistion
11 Data cleaning
12 Data visualization
13 Analysis
14 Bayesian estimates
15 Simulating data
16 Shiny
17 Understanding how functions work
18 Debugging
- 18.1 browser()
- 18.2 debug, debugonce
19 Testing
20 For loops
- 20.1 Showing progress
- 20.2 Parallel processing with foreach
21 Efficient Programming
22 Intro Prob/Stat
- 22.1 Poisson approximates binomial
23 New computer setup
24 Job search
- 24.1 Job sites
25 Random online resources
26 GitHub Copilot in RStudio
27 Other
28 Not data science
- 28.1 Dollar cost averaging example
Appendix
A Data exploration with dplyr
B Data visualization with ggplot
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Data Analysis

Chapter 15 Simulating data

Simulated data using models with varying intercepts, varying intercepts and slopes, and neither.