This internship project involved analyzing data for a client, Social Buzz, to help them manage their rapid growth and make data-driven decisions. The tasks were divided into several key phases, each demonstrating different aspects of data analytics and visualization.
- Client: Social Buzz, managed by Accenture’s Mae Mulligan.
- Client's Problem: Rapid growth without adequate internal resources.
- Accenture's Tasks:
- Audit big data practices.
- Provide IPO recommendations.
- Analyze popular content.
- Data Analyst Task: Identify the top 5 content categories by popularity.
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Required Data:
- Reaction Score
- Content ID
- Reaction Types
- Content Type
- Category
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Data Cleaning Steps:
- Remove rows with missing values.
- Adjust data types.
- Remove irrelevant columns.
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Cleaned Datasets:
- Reaction Types
- Reactions
- Content
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Data Model(Merged Dataset): Cleaned Dataset
Charts Used:
- Pie Chart
- Bar Chart
- Presentation: PowerPoint Presentation
Objective: Deliver insights from the analysis through the prepared presentation.