Free Project

Creating An Efficient Data Analysis Workflow

For this project, you’ll act as a data analyst for a company selling programming books to analyze sales data and extract useful insights to determine the most profitable titles.

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4.8 (359 reviews)
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  • Beginner
  • Guided project
  • 9 steps
  • R
Joel Ampong

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Joel Ampong

Data Scientist

Creating An Efficient Data Analysis Workflow

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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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