Project overview
In this project, you’ll take on the role of a data analyst hired by a company that sells programming books. They want you to analyze their sales data to determine which titles are most profitable. You’ll apply concepts like control flow, loops, and functions in R to develop an efficient data analysis workflow.
Throughout the project, you’ll get hands-on practice in data cleaning, transformation, and analysis. You’ll handle missing data, make labels consistent, convert data types, and ultimately identify the best selling books to provide data-driven recommendations. Writing up your findings in a structured report will showcase your analytical and communication skills.
Objective: Use R programming to clean and analyze book sales data, identifying the most profitable titles and presenting actionable insights to stakeholders.
Key skill required
To complete this project, it's recommended to build these foundational skills in R
- Implementing control flow using if-else statements in R
- Employing for loops and while loops in R for iteration
- Writing custom functions in R to modularize code
- Applying control flow, iteration, and custom functions together in R
Projects steps
Step 1: Introduction
Step 2: Getting Familiar With The Data
Step 3: Handling Missing Data
Step 4: Dealing With Inconsistent State Column Labels
Step 5: Transforming The Review Data
Step 6: Analyzing The Data
Step 7: Reporting The Results
Step 8: Further Steps
Step 9: Next Steps
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