Mini R Project: Data Summary & Insights Generator

Congratulations! You have successfully completed the entire R Programming course at Dataplexa.

In this final lesson, you will build a complete mini project that combines data handling, analysis, visualization, and reporting — all in one place.

Project Objective

The goal of this project is to analyze a dataset and automatically generate useful insights in a clean and readable format.

This project is designed so that even a non-IT learner can clearly understand how R is used in real-world analytics.

📘 Project Requirements

• Load a dataset
• Explore and summarize data
• Perform basic calculations
• Create a simple visualization
• Generate a readable report

Step 1: Load the Dataset

We begin by loading a dataset. You can use any CSV file for this project.

data <- read.csv("data.csv")
head(data)

Step 2: Explore the Data

Understanding the structure of the dataset is essential before performing any analysis.

str(data)
summary(data)

Step 3: Basic Calculations

We now compute simple statistics that help summarize the dataset.

mean_value <- mean(data$value, na.rm = TRUE)
max_value <- max(data$value, na.rm = TRUE)
min_value <- min(data$value, na.rm = TRUE)

Step 4: Data Visualization

Visualizations help identify patterns and trends quickly.

plot(data$value,
     type = "l",
     main = "Data Trend",
     xlab = "Index",
     ylab = "Value")

Step 5: Generate a Simple Report

The final step is to present results in a clear report format.

cat("---- DATA REPORT ----\n")
cat("Mean:", mean_value, "\n")
cat("Max:", max_value, "\n")
cat("Min:", min_value, "\n")

📘 Full Project Code

# Mini R Project – Data Summary & Insights Generator

data <- read.csv("data.csv")

mean_value <- mean(data$value, na.rm = TRUE)
max_value <- max(data$value, na.rm = TRUE)
min_value <- min(data$value, na.rm = TRUE)

plot(data$value,
     type = "l",
     main = "Data Trend",
     xlab = "Index",
     ylab = "Value")

cat("---- DATA REPORT ----\n")
cat("Mean:", mean_value, "\n")
cat("Max:", max_value, "\n")
cat("Min:", min_value, "\n")

📝 Mini Project Question

Modify this project to:

• Add median calculation
• Save the report to a text file
• Create a bar chart instead of a line chart

✅ Explanation

This mini project demonstrates how R can be used end-to-end: from loading data to generating insights and visual outputs.

By completing this project, you now understand how R fits into real analytics and data science workflows.

You Did It!

You have officially completed the full R Programming course at Dataplexa.

Click the button below to celebrate your achievement!

What’s Next?

You are now ready to move into advanced analytics, statistics, and machine learning modules on Dataplexa.

Well done — keep building and keep learning!