Preparing your learning workspace

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

ارتباط با R

R note: inspect before interpreting

Use head() before summary() so you know what each row and column represents. Then use table() and prop.table() for categorical variables such as device_type.

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.

Preparing your learning workspace

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

What R is used for

Mean as an R task

R note: inspect before interpreting

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

Results

Three first graphics

Interpreting R output

Download the website traffic dataset

Debug my R thinking

R first steps checkpoint

R Output Checkpoint

Which R command is a reasonable first look at a small dataset?