Inspiration

HackDavis wifi experienced slowdown in the beginning of the event. Using statistics of wifi occupancy from the past may help be better prepared for future event or daily energy conservation.

What it does

It reads data from past WiFi statistics provided by OSIsoft, then calculates and plots the average wifi occupancy against time in a day for each day in a week. Data points are as accurate as ten-minute interval.

How I built it

Multiple python libraries were used to read in and visualize data.

Challenges I ran into

Designing and constructing appropriate data structures for this problem was challenging.

Accomplishments that I'm proud of

Successfully learnt how to use multiple libraries to help me finish the task.

What I learned

How to use libraries like matplotlib. A good planning of design pattern is significant for any project.

What's next for WiFi-Occupancy

Developing into a online app for everyone to lookup

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