Alejandro Giraldo Riveros

“The projects were really helpful because they provided a way to see how all the things I learned work.”

Alejandro Giraldo Riveros

Environment Engineer & Data Analyst

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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