Rindhujatreesa / Internet_Infrastructure_in_India_and_the_effect_of_COVID-19

This repository showcases my work on Internet Infrastructural advancement during the COVID-19 era. It also analyzes how it affected the life of the youth in the country. I utilized Python and MS Excel in this project

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Internet_Infrastructure_in_India_and_the_effect_of_COVID-19

This repository showcases my work on Internet Infrastructural advancement during the COVID-19 era in India. It also analyzes how it affected the life of the youth in the country.

I started my Data Science journey with this project. During this project, I learned Data Manipulation and Analysis in Python using the Pandas, NumPy, Seaborn, Matplotlib, and Scikit Learn Libraries . I also mastered Microsoft Excel skills that helped me collect and manage data professionally.

Today, when I look into this project, I realize how far I have come in less than two years, I am proud. I keep this project untouched as a reminder of the start of my journey, my imperfections, and my lack of experience which motivates me every day to work harder and learn deeper.

Data Sources

  1. I collected data fron various Internet Providers in India and compiled it into a single CSV file for understanding the Internet Infrastructure (Quarter , Ethernet/LAN, Fibre, LTE/FW LTE, Total ISP subscribers, Wireless Internet, Wired Internet, Broadband, Monthly ARPU, Minutes of Internet Usage per month Internet Telephony in minutes (in millions)``Wireless Data usage (Gb) per month, Cost to subscriber per Gb)
  2. I did primary data collection by creating a survey that asked for voluntary answering of questions related to Internet Usage Patterns. See the Questionnaire

Check out the Thesis work I have done for the project for a detailed description of my work

About

This repository showcases my work on Internet Infrastructural advancement during the COVID-19 era. It also analyzes how it affected the life of the youth in the country. I utilized Python and MS Excel in this project


Languages

Language:Jupyter Notebook 100.0%