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This project involves mining of developer data from twitter, processing it to find answers to some questions:

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Project: Women In Tech : Twitter Analysis

https://github.com/WooTechnology/womenInTechTwitterAnalysis/wiki

Description:

This project involves mining of developer data from twitter, processing it to find answers to the following questions:

What is the total number of male vs female vs non binary genders who indicate their interest in technology?

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What is the above division by different geographical regions?
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What is the total number of male vs female vs non binary genders who are programmers?

What is the total number of male vs female vs non binary genders who are programmers, wrt, different geographical regions

What is the gender split between different technology fields - Web development, dev ops, mobile development, cyber security , data science, product etc etc.

Which fields have a good split vs which fields do not?

What companies do these people work in and how is the gender split?

Project by: Ambika and Adityah

Mentor - Pranjal Rastogi

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This project involves mining of developer data from twitter, processing it to find answers to some questions:

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