Making Sense of Steps
Math, Data and Computing
DAB100 - Making Sense of Sensors
B2.2
Description
This project investigates the correlation between temperature, humidity, and daily step count. The data was analyzed using Python to visualize and identify potential correlations.
Looking Back
Throughout the project, I engaged in various tasks, from planning the study and assembling the YODL kits to programming in Python and critically evaluating our findings. I enhance my analytical skills and developed a comprehensive approach to real life data gathering using sensors and quantitative data analysis.
2019
Steps vs Temperature
2019
Steps vs Humidity
2019
Data Gathering MiBand
