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Exploring_Hacker_News_Posts

In this project, we will be working with a dataset containing information about roughly 20,000 Hacker News Listings. As we explore the dataset, we will also form some initial analysis of our data. With the results of our analysis, we will address the two questions presented at the beginning of the project:

  • Do "Ask HN" or "Show HN" receive more comments on average?
  • Do posts created at a certain time receive more comments on average?

Note: For those who are not familiar with Jupyter Notebook, here are some steps on how to run the code within the notebook:

  • Look for the toolbar above the code where you can see the dropdowns: 'File' 'Edit' 'View' 'Run' 'Kernel' 'Settings' 'Help'
  • Select the 'Run' dropdown, and then select the 'Run All Cells' option
  • OR If you have selected a certain cell you would like to examine, by clicking on that cell, then in the 'Run' dropdown, select the 'Run Selected Cell' option

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Exploring and comparing aspects of Hacker News Post dataset

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