Lab 8: Data Analysis

Lab 8: Data Analysis

Lab A:

The team installed several Python packages on the Raspberry Pi to allow for plotting and data analysis. The lesson 8 directory was then copied over from Professor Kevin Lu's Github Repository. Inside of the Git repo, a multitude of examples were ran which involved analyzing different data sets and plotting features. Some of the examples ran include: histogram, boxplot, linear regression, Keras, and ticklabels. These examples were all used to tabulate and better format data for team understanding. Lastly, the team copied two .csv files containing data on the Titanic, the files were then used and copied to another location.

Lab B:

The team saved several metrics of the Raspberry Pi to a Google sheet which included the date/time, temperature, and CPU usage. Next, four graphs were created to model a time series, histogram, and scatter plot; the graphs were then saved into a .csv file format. Once the files were exported, the data was analyzed on the Pi from two unique Python scripts which formatted the data and provided essential metrics. Lastly, the graphs were enhanced by adding titles, headers, labels, and by adjusting the ticks.