A Data Analysis project to determine the best times for internet usage by analyzing the log file provided by the user.

Aravind while using mobile data noticed he was facing major network fluctuations and hence wants to identify the best and worst time during a day for best internet usage based on various factors as mentioned here. Analyse the log file given to better understand the situation and apply data science skills to clean, model and analyse the data to provide him answers to the questions asked in later sections of this document.

All contributions are welcome! Code, documentation, graphics or even design suggestions are welcome; use GitHub to its fullest. Submit pull requests, contribute tutorials or other wiki contents -- whatever you have to offer, it would be appreciated!

Please read CONTRIBUTING.md for details on contributing.

This project is licensed under the MIT License - see the LICENSE file for details.

• Kaazima Ifrah - Data Analysis, Continuous Integration - KaazimaIfrah
• Aravind V. Nair - Continuous Integration - AravindVNair99

See the full list of contributors who participated in this project and statistics.

Please read Installation file for details.

statistics.log - contains data provided by the user that can be used to determine the best times for internet usage. This data was generated by scheduling a cron job of running speedtest every two minutes.

Internet_Analysis.ipynb - contains data cleaning by parsing the log file, data analysis, and conclusions of the analysis.

Check the changelog here.

Report here in detail answering these questions:

• What steps did you take to make the bug appear?
• How can the bug be fixed? (In case you know)
• Which OS and which all packages/software/dependencies are you using?
• Have you tried any troubleshooting steps such as a reboot for example?
• Have you followed the prescribed prerequisites?

Check here for the list of contributors. Contact one of them through their profiles.