Welcome to my graphical playground. Here you can see some cool visualizations I made to support my running analysis project. Do you have a question you want to answer about my dataset? Make sure to add any feedback on the post it notes next to this display. I would love to get any suggestions on further improvement of my project. Final Project for CSE 190 STARS CSE class.

Presents a distribution of days I ran during the week from my dataset. Created using R.

Shows how often I ran in different running spots around Belleuve and Seattle/U-District.

Uses R toolkit to plot a linear regression graph with a line of best fit representing the trend in calories burn versus miles ran.

This project was inspired by ******* Drumrolls (Click here) *******

Conclusions

1) My most common running location was "dad-route".

2) I run the most on Sundays with a total of 44 runs on Sundays out of the total recorded 170 runs within the past year. This is probably because I have the most time on Sundays and don't have school. On the other hand, I ran the least on Thursdays with only 19 runs and 11% of the total run in the recorded time frame.

3) According to my calculations, it does seem that the more I run the more calories I burned (based off the trend line). I believe there is still more room to improve upon breaking down individual variables that have more impact on the amount of calories burned.

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