Title: Twitch Insights
Group: Jianna Braza and Joseph Sarsozo
Inspiration
Information from the top streamers and games on Twitch to look what makes people or games popular on the platform.
What it does
Explores what factors go into a streamer's popularity using data visualization.
How we built it
Our project was built using PyCharm IDE and a few libraries such as Pandas and Plotly.
Challenges we ran into
Inconsistencies with data types for our datasets
Accomplishments that we're proud of
Using plotly to produce interactive graphs that showcase our results.
What we learned
- Watch time is greater than stream time. Watch time for streamers is greater than watch time for games.
- Produced a table, but the information was incorrect, so inconclusive.
- Based on our dataset, mature streamers were almost evenly distributed, so maturity does not boost popularity
What's next for Twitch Insights
Looking at more datasets to leave no questions inconclusive
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