Assignment 1
Due: Monday, May 12 at 11 AM ET to be submitted via Crowdmark
Note: Your submitted solution must be unique and written in your own words; if you collaborate with other students, external resources, and/or use AI tools, this must be clearly acknowledged in your submission.
Part 1
This assignment covers material from Chapters 1-8 of R4DS / Chapters 1-10 P4DS. Please complete the following exercises from ONE of those textbooks for the assigned chapters.
| R4DS | P4DS |
|---|---|
| 1.2.5 Q4 | 2.2.5 Q4 |
| 1.2.5 Q10 | 2.2.5 Q9 |
| 1.4.3 Q2 | 2.4.3 Q2 |
| 1.5.5 Q6 | 2.5.5 Q2 |
| 1.5.5 Q7 | 2.5.5 Q7 |
| 2.6 Q4 | 3.6 Q2 |
| 3.2.5 Q6 | 4.3.4 Q5 |
| 3.3.5 Q5 | 4.5.1 Q6 |
| 3.5.7 Q1 | 4.6.4 Q1 |
| 7.2.4 Q1 | 8.2.3 Q1 |
Part 2
Using a sports dataset from a library/package of your choice, complete the following:
- Make a scatter plot of 2 continuous variables and describe their relationship. Then add additional variables as aesthetics to either size (numeric) or shape (categorical)
- Use a different
geomto visualize the relationship between 1 continuous and 1 categorical variable in your dataset - Make a histogram to visualize the distribution of a continuous variable in your dataset
- Create a data manipulation pipeline that selects a subset of columns, performs an intermediate calculation, filters the rows, and sorts the resulting output. What question are you trying to answer with it? in relation to your dataset?
- Use a
group_byand aggregation (i.e.summarise) to calculate a summary statistic of your choice for your dataset. What does this mean in relation to your data? - Write code to read and write your data set using two types of delimiters.