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STATLAB Academy | Learn Statistics with R and Real-World Data

R connection

R note preview: website traffic

In R, mean(traffic$visits) gives a descriptive summary of the rows loaded. Later modules will add uncertainty around estimates.

Live R Lab

R Lab: First Steps with Data, Summaries, and Simple Graphics

Use synthetic business datasets to run simple calculations, create objects, read a CSV, summarize variables, and make first graphics.

Dataset CSV

Editable R code

# Module 1 R lab: first steps with synthetic business data

# 1. Simple calculations
print(2 + 3)
print(1250 * 0.04)

# 2. Create a vector
daily_signups <- c(38, 24, 52, 61, 41)
print(daily_signups)
print(mean(daily_signups))

# 3. Create a small data frame
mini_campaign <- data.frame(
  channel = c("Email", "Search", "Social"),
  visits = c(420, 610, 355),
  signups = c(18, 31, 16)
)
print(mini_campaign)

# 4. Read synthetic website data
traffic <- read.csv("website_traffic_synthetic.csv")
print(head(traffic))
print(summary(traffic))

# 5. Summaries and tables
print(mean(traffic$visits))
print(mean(traffic$signup_count))
device_counts <- table(traffic$device_type)
print(device_counts)
print(prop.table(device_counts))

# 6. Basic graphics
barplot(device_counts, main = "Visits by device type")
plot(traffic$visits, type = "l", main = "Daily visits", xlab = "Day", ylab = "Visits")
plot(traffic$visits, traffic$signup_count, main = "Visits and signups", xlab = "Visits", ylab = "Signups")

# Optional ggplot2 example if ggplot2 is available
if (requireNamespace("ggplot2", quietly = TRUE)) {
  library(ggplot2)
  ggplot(traffic, aes(x = visits, y = signup_count, color = device_type)) + geom_point() + labs(title = "Synthetic website signups by visits")
}

Results

Ready to run

Ready to run. Results, errors, tables, plots, and fallback messages will appear here.

Run the simple calculations and vector code.

Use head() and summary() to inspect the website traffic data.

Use table() and prop.table() to compare device types.

Create the bar plot, line plot, and scatter plot, then write one interpretation.

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Descriptive vs Inferential Statistics

Two jobs statistics often performs

Notation preview

Sample-to-population reasoning

Descriptive or inferential explorer

Sort the claim: descriptive or inferential?

Transport mode

Commute minutes

Late this week

Coffee cups

Website data preview

R note preview: website traffic

R Lab: First Steps with Data, Summaries, and Simple Graphics

Results

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Descriptive or inferential?

Descriptive, Inferential, and Notation Checkpoint

Which task is inferential?