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Logs Analysis

Reporting tool for online article click rates

Dependencies

  • Python 2.7+
  • PostgreSQL 9.5.12
  • PsycoPG2

Installation and running

There are 2 branches in this project, with identical logs.py files - but different purposes.

  • Master Branch - does NOT contain newsdata.sql required for running. This branch is for Udacity Project where db is not hosted locally
  • database-included Branch - does contain newsdata.sql database, pushed to git LFS. This branch is for all other usage.

If Using the database-included branch, follow these steps to get up and running

  • Fork & clone the database-included branch.
  • Open up bash / terminal and navigate to the same directory you cloned the repo
  • run the following command to initialize the newsdata DB in PostgresQL
psql -d news -f newsdata.sql
  • To run the logs- execute the following command in the same terminal window
python logs.py

Running the logs.py file will run the following three queries automatically, and output them to the console.

  1. Find the three most popular articles, and their view count - ordered by most popular article
  2. Rank the most popular authors based on article view count
  3. Find days in the month where the HTTP response failure rate exceeded 1%