Statistical Computing in R
Four assignments and ten labs in R Markdown — sampling design, data wrangling, hypothesis testing, and regression.
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README
Statistical Computing in R
Four assignments and ten labs from an intro statistics course, done entirely in R
Markdown — sampling design, data wrangling, hypothesis testing, and regression, each
.Rmd mixing write-up with executable R (mostly dplyr/ggplot2) against a real
dataset.
Assignments
| # | Dataset | Topic |
|---|---|---|
assignments/assignment-1/ |
casino.csv |
Sampling and experimental design — population vs. sample, convenience vs. simple random sampling. |
assignments/assignment-2/ |
Government_expenditure_per_student.csv, Superstores.csv, rawgrades.csv |
Data wrangling and summary statistics across three separate datasets. |
assignments/assignment-3/ |
homework3Data.csv |
Statistical inference. |
assignments/assignment-4/ |
AdmissionPredict.csv |
Regression — predicting graduate admission chances. |
Labs
| # | Dataset | Topic |
|---|---|---|
labs/lab-01/ |
— | Written worksheet (no R component). |
labs/lab-02/ |
FlowerData.csv |
Intro data exploration. |
labs/lab-03/ |
inflation_consumer.csv |
Data wrangling. |
labs/lab-04/ |
— | R fundamentals. |
labs/lab-05/ |
data_wk5.csv |
Sampling distributions. |
labs/lab-06/ |
grades.csv |
Summary statistics. |
labs/lab-07/ |
lab7_data.csv |
Hypothesis testing. |
labs/lab-08/ |
RealEstate.csv |
Regression basics. |
labs/lab-09/ |
media_spend.csv |
Bootstrapping / resampling. |
labs/lab-10/ |
media_spend.csv |
Further regression / model diagnostics. |
Running
Open any .Rmd in RStudio and Knit, or from the command line:
rmarkdown::render("assignments/assignment-1/assignment1.Rmd")
Each file expects its CSV(s) in the same directory (already colocated per folder above).
🎓 Project Context
Built as part of STAT 123: Data Science at the University of Victoria.
⚠️ Academic Integrity Notice
This repository is maintained for portfolio and educational purposes only. If you are currently enrolled in STAT 123 at the University of Victoria or a similar applied statistics course, please note that using this code in your own assignments may constitute a violation of Academic Integrity policies.