Project overview
In this project, you’ll step into the role of a data analyst to explore and analyze a dataset from Hacker News, a popular tech-focused community site. You’ll apply your skills in string handling, object-oriented programming, and date management in Python to uncover trends in user submissions and understand what drives post popularity.
This practical project enhances your data analysis abilities and helps you interpret complex real-world datasets. By deriving meaningful insights, you’ll showcase in-demand skills for data analyst roles.
Objective: Use Python to analyze Hacker News data, identifying factors that contribute to post popularity and enhancing your analytical abilities.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Cleaning and preparing text data in Python
- Exploring data using loops in Python
- Processing dates using the datetime library in Python
Projects steps
Step 1: Introduction
Step 2: Removing Headers from a List of Lists
Step 3: Extracting Ask HN and Show HN Posts
Step 4: Calculating the Average Number of Comments for Ask HN and Show HN Posts
Step 5: Finding the Amount of Ask Posts and Comments by Hour Created
Step 6: Calculating the Average Number of Comments for Ask HN Posts by Hour
Step 7: Sorting and Printing Values from a List of Lists
Step 8: Next Steps
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