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

Run and edit the code, inspect printed output, and use the movable R Code Guide for line-by-line help.

Live R Lab

Complete Descriptive Statistics Report

Produce an auditable center, variability, z-score, plot, and correlation summary for the capstone.

Editable R code

# Module 4 R Note 11: Complete descriptive statistics report
performance <- read.csv("module4_business_performance_capstone.csv")
print(head(performance))
print(str(performance))
print(colSums(is.na(performance)))

sales <- performance$monthly_sales
wait <- performance$customer_wait_minutes
summary_table <- data.frame(
  variable = c("Monthly sales", "Customer wait"),
  mean = c(mean(sales, na.rm = TRUE), mean(wait, na.rm = TRUE)),
  median = c(median(sales, na.rm = TRUE), median(wait, na.rm = TRUE)),
  sd = c(sd(sales, na.rm = TRUE), sd(wait, na.rm = TRUE)),
  iqr = c(IQR(sales, na.rm = TRUE), IQR(wait, na.rm = TRUE))
)
summary_table[-1] <- lapply(summary_table[-1], round, digits = 2)
print(summary_table)

performance$sales_z <- as.numeric(scale(sales))
print(performance[abs(performance$sales_z) > 2, c("location_id", "monthly_sales", "sales_z")])

par(mfrow = c(1, 2))
hist(sales, main = "Monthly sales", xlab = "Dollars")
boxplot(wait, main = "Customer wait", ylab = "Minutes")
par(mfrow = c(1, 1))

selected <- performance[c("monthly_sales", "satisfaction_score", "new_enrollments")]
print(round(cor(selected, use = "complete.obs"), 3))

print("Executive summary scaffold:")
print("Question: Which locations need operational review?")
print("Evidence: Report center, variability, shape, unusual values, and selected associations.")
print("Limitations: Synthetic cross-sectional data do not establish causation.")

Results

Ready to run

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

Inspect structure and missingness.

Build a summary table.

Create charts, z-scores, correlations, and an executive scaffold.

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Module 4 Capstone: Business Performance Diagnostic

Module 4 Capstone: Business Performance Diagnostic

Business Performance Diagnostic

R note: Complete Descriptive Statistics Report

Complete Descriptive Statistics Report

Results

Original applied scenario

Capstone report template

Capstone grading rubric

مکث و یادداشت

Descriptive statistics coach

Capstone checkpoint

Business Performance Diagnostic Checkpoint

What is the best first step in the capstone?