I had an unused Zigbee vibration sensor at home that was not used for any automation. Wanting to put my data skills to use, I decided to use it towards a data gathering project. Therefore, I placed it in the Fridge, as any other person would. I wanted to know, how many times a day, do I open the fridge ❄️, what are the most common hours, and what are the most common days. So far, I have only a few days of data, but will constantly adapt the project with new developments.
I've updated the program so that the analysis is done (manually) in a python script and parsed as .json format. Then, the front-end takes it up via JS and displays it on the link below.
You can check the data here:
I am analyzing how many times a day the fridge was opened and during what intervals. So far, I am using the following time intervals:
- 07:00-12:00 - Morning
- 12:00-17:00 - Afternoon
- 17:00-23:59 - Evening
- Else - Night
I am using the following libraries for data visualization:
- matplotlib: For static plots.
- Bokeh: For interactive plots.
- Plotly: For interactive plots.
The data from the sensor is processed and visualized to provide insights into the usage patterns of the fridge.
This is the sensor used for the project:
Data Plot:
This project is a work in progress, and I plan to add more features and automate the data collection process in the future.