/Twitch-Streamer-Analysis

Twitch Streamer Analysis

Primary LanguageJupyter Notebook

Twitch-Streamer-Analysis

Twitch Streamer Analysis

Content : This data consists of different things like number of viewers, number of active viewers, followers gained and many other relevant columns regarding a particular streamer. It has 11 different columns with all the necessary information that is needed.

Context: Gaming is a very big industry now. Every year there are millions of Dollars invested in Esports and many new companies want to invest in the Esports scene now. One of bigegest ever deals was when Mixer opened up and brought Ninja and Shroud to their platform from twitch. But Twitch has been a home to streamers since day 1 and now that Mixer has been shut down, streamers are returning to the platform again.Millions, if not billions, watch twitch streams everyday and i myself like to watch twitch streams. So i put together Top 1000 Streamers from past one year who were streaming on twitch.

Attributes in the dataset : Channel - name of the channel Watch time(Minutes) - total watch time Stream time(minutes) - total number of minutes stream has been live Peak viewers - peak number of concurrent viewers Average viewers - average number of concurrent viewers Followers - total followers Followers gained - followers gained after streaming Views gained - number of views gained Partnered - (true/false) Mature - (true/false) Language - language of the content