21 Datasets

This section provides information about the datasets used throughout the course. These datasets come from various R packages and are commonly used in statistical analysis and data science education.

21.1 Built-in R Datasets

21.1.1 mtcars - Motor Trend Car Road Tests

Package: datasets
Description: Data extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).

Variables: - mpg: Miles/(US) gallon - cyl: Number of cylinders - disp: Displacement (cu.in.) - hp: Gross horsepower - drat: Rear axle ratio - wt: Weight (1000 lbs) - qsec: 1/4 mile time - vs: Engine (0 = V-shaped, 1 = straight) - am: Transmission (0 = automatic, 1 = manual) - gear: Number of forward gears - carb: Number of carburetors

21.1.2 iris - Edgar Anderson’s Iris Data

Package: datasets
Description: Famous dataset giving the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of 3 species of iris.

Variables: - Sepal.Length: Sepal length in cm - Sepal.Width: Sepal width in cm - Petal.Length: Petal length in cm - Petal.Width: Petal width in cm - Species: Species of iris (setosa, versicolor, virginica)

21.1.3 cars - Speed and Stopping Distances of Cars

Package: datasets
Description: The data give the speed of cars and the distances taken to stop.

Variables: - speed: Speed (mph) - dist: Stopping distance (ft)

21.2 Course-Specific Datasets

21.2.1 bikeshare.csv - Bike Sharing Data

File: data/bikeshare.csv
Description: Dataset containing bike sharing information with various weather and temporal features.

Variables: - datetime: Date and time - season: Season (1:spring, 2:summer, 3:fall, 4:winter) - holiday: Whether day is holiday or not - workingday: If day is neither weekend nor holiday - weather: Weather situation (1: Clear, 2: Mist, 3: Light Snow/Rain, 4: Heavy Rain) - temp: Temperature in Celsius - atemp: “Feels like” temperature in Celsius - humidity: Relative humidity - windspeed: Wind speed - casual: Count of casual users - registered: Count of registered users - count: Count of total rental bikes

21.2.2 stroke_data.csv - Stroke Prediction Data

File: data/stroke_data.csv
Description: Dataset for predicting stroke occurrence based on various health indicators.

Variables: - id: Unique identifier - gender: Gender - age: Age - hypertension: Hypertension (0: No, 1: Yes) - heart_disease: Heart disease (0: No, 1: Yes) - ever_married: Ever married (No, Yes) - work_type: Type of work - Residence_type: Residence type (Rural, Urban) - avg_glucose_level: Average glucose level - bmi: Body mass index - smoking_status: Smoking status - stroke: Stroke (0: No, 1: Yes)

21.2.3 coronary.dta - Coronary Heart Disease Data

File: data/coronary.dta
Description: Dataset containing information about coronary heart disease patients.

Variables: - Various medical and demographic variables related to coronary heart disease - Used for survival analysis and medical statistics

21.3 How to Access Datasets

21.3.1 Built-in R Datasets

# Load built-in datasets
data(mtcars)
data(iris)
data(cars)

# View dataset structure
str(mtcars)
head(mtcars)

21.3.2 Course Datasets

# Load course datasets
bikeshare <- read.csv("data/bikeshare.csv")
stroke_data <- read.csv("data/stroke_data.csv")

# View dataset structure
str(bikeshare)
head(bikeshare)

21.4 Dataset Usage in Course

• mtcars: Used for linear regression examples and correlation analysis
• iris: Used for classification, clustering, and ANOVA examples
• cars: Used for simple linear regression demonstrations
• bikeshare: Used for time series analysis and multiple regression
• stroke_data: Used for logistic regression and classification examples
• coronary: Used for survival analysis examples

21.5 Additional Resources

For more information about these datasets: - R documentation: ?mtcars, ?iris, ?cars - Course materials and exercises - Statistical analysis examples in course chapters