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Exploratory Data Analysis (EDA) and Data Visualization

Lesson 5: Exploratory Data Analysis (EDA) and Data Visualization

Exploratory Data Analysis (EDA) is the process of analyzing data to discover patterns, trends, and relationships. Data visualization is an essential part of EDA because it makes insights easier to understand.

In this project, EDA is performed after cleaning and aggregation. Line plots are used to study revenue trends over time, and bar charts are used to compare products, quarters, and customers.

  • Trend Identification: Reveals how revenue changes across months and years.
  • Comparative Insights: Makes it easy to compare products, quarters, and customers.
  • Decision Support: Converts numerical analysis into clear visual stories.

EDA is the final step that turns analysis into understandable insights.