Data Science: Analysis of Deaths Involving Police in the U.S.
This is day 100 of the 100 Days of code course. For day 100, this is the second project that builds on the data science portion of the course. Some differences from todays project and day 99 are that this one utilized multiple spreadsheets and felt as if it was shorter to complete. That was due to me having a bit more experience working with the concepts having completed day 99.
Project Goals & Steps to Complete
The goal for day 100 of the course was to further build on the concepts covered during days 72-81 of the course. Todays project was very similar to day 99 of the course, however, this project utilized different graphs as well as multiple data sources to create the graphs and charts.
The steps taken to complete this project were as follows.
- Perform initial data analysis and cleaning of data.
- Work my way through the questions that were being asked and visualize that data with various graphs and charts.
Project Challenges
This project was far easier to complete compared to the project for day 99. This is due to having a project under my belt and having refreshed my memory on the data science concepts of the course.
I did feel I was better at transforming data and getting the data I wanted to grab for this project. As for the graphs, once I had the data shaped how I wanted, it was much easier to display the data needed.
This holds true to all the projects I have completed in this course, practice and repetition makes one better at completing the tasks in front of them!
Project Takeaways
This project felt easier than the project for day 99. Practice makes perfect!
I was able to complete all of the sections for this day. On day 99, there were a few sections that I left out graphs because I wasn’t sure how to complete them or I was having a hard time getting the data I wanted.
With my completion of today’s project, I have officially completed the 100 Days of Code course. This course has provided a plethora of content and knowledge and having completed the portfolio projects section of the course, I can say I have sharpened my Python toolbelt!