Udacity_FSND_Project3 - LOGS ANALYSIS POSTGRESQL QUERY PROJECT by Jason M. Hester
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Required Libraries and Dependencies
This program runs on Python 3 and requires a working Linux Virtual Server with PostgreSQL 9.6 or later installed locally. (see: https://classroom.udacity.com/nanodegrees/nd004/parts/8d3e23e1-9ab6-47eb-b4f3-d5dc7ef27bf0/modules/bc51d967-cb21-46f4-90ea-caf73439dc59/lessons/5475ecd6-cfdb-4418-85a2-f2583074c08d/concepts/14c72fe3-e3fe-4959-9c4b-467cf5b7c3a0) This program also requires the newsdata.sql file to be stored under the /vagrant directory. (see: https://d17h27t6h515a5.cloudfront.net/topher/2016/August/57b5f748_newsdata/newsdata.zip)
How to Run Project
- Download the newsdata.sql library, unzip, and install in a folder of your choosing under the /vagrant directory.
- Download the "Logs_Analysis.py" file to the same vagrant folder which houses your newsdata.sql file.
- Open a Terminal and run the following commands: vagrant ssh cd vagrant/ psql -d news -f newsdata.sql python3 Logs_Analysis.py
Description
This program uses python to run a set of postgreSQL queries which answer the following questions: 1. What are the most popular three articles of all time? 2. Who are the most popular article authors of all time? 3. On which days did more than 1% of requests lead to errors? This programs outputs the answers in a Terminal in plain text fromat.
Accessibility
While this back-end program outputs plain text which is inherently accessible, care must be taken to ensure further formatting on the front-end remains accessible and usable by persons with disabilities using assistive technologies such as screen-readers.