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  Graph of the number of events taking place during hour slots during the day.

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  Hovering the mouse over a data bar provides more information about the events during this time slot.

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  In the Analysis tab, multiple event types can be compared over the course of a term, revealing trends over time.

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  The frequencies of multiple event types are overlaid.

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  If one category is deselected, the others auto-scale to fit the graph size.

EventTiller

Developed by:

• Daniel Busis
• Oliver Calder
• Zack Johnson
• Ankit Sanghi

Carleton Hackathon 2019

Idea

This project considers data about events on campus, with the goals of:

• analyzing the distribution of events
• building visual tools to display trends and gaps

Tools Used

• Event scraping from Carleton Campus Calendar using BeautifulSoup (Python module)
• Event processing using Python
• Local server hosted using Flask
• Visualizations built using Chart.js and HTML

Built With

• bs4
• chartjs
• css
• flask
• html
• javascript
• python