Data Science: US Police Shootings

US Police Shootings by Data
Coding Overview of Data Visualization

Inspiration

We tried to look at relevant information as it pertained to the real world, so we thought what better to crunch data on than the most prevalent hot topic: Policing.

What it does

This project takes the total number of deaths by police in the United States and visualizes the data to break it into a few categories: Deaths by race, gender, state, age, mental illness, fleeing, and threat level.

How I built it

We used Anaconda version of Python to utilize Jupyter Notebook, which then allowed us to use libraries such as Pandas and Matplotlib.

Challenges I ran into

This project started with two go-getters and quick learners with only problems. There were no plus sides as we both nearly 9,000 miles apart completed all of these tasks via only text messaging and had the basic understanding of python. We tackled and learned every function and command line as we went, so when locating challenges, everything was a challenge that we fiercely defeated!

Accomplishments that I'm proud of

We are proud that have utilized downloaded the Anaconda version of Python which allows us to utilize the libraries. Most importantly, this was the first and successful data science project we have completed! It visualizes the data just as we have hoped for it too.

What I learned

We learned how to import libraries in order to visualize the data which was also imported from excel. We were able to clean the data, however, it was not necessary at all. We then learned to visualize parts of the graph to display the columns and variables we wanted.

What's next for US Police Shootings

What's next is that data never lies, it should be utilized by government officials, public speakers, and people in general to have the facts of policing in the United States by case for the past 4 years. Decisions should be made from visualizations of the graph and the data that it is derived from.

Built With

jupyternotebook
matplotlib
pandas
python

Submitted to

GrizzHacks 5

Created by

I worked on importing the libraries for the datasets such as Pandas,Matplotlib also provided the knowledge and advised the team about python codes and to pursue which libraries we need to work with such as pandas and matplotlib. And, this is my first hackathon project with my teammate who is 9,000 miles away. The experience related to our first hackathon, was absolutely amazing and insightful. At last, it's all about the team effort and zeal to achieve your goal together. And I have made the video and uploaded the YouTube Url too.

DiekshaPriyaa
I worked on the project with tremendous efforts as did, just alike, my team-mate. I helped create the team and lead it with project management. With the help of learning the new system from my partner, I utilized and made codes to create visual representations of data. I further motivated the team and helped stay on track with daily tasks. Upon completing the project, I created the Devpost and uploaded to GitHub.

Omar Faruk

Updates

Omar Faruk started this project — Sep 19, 2020 05:22 PM EDT

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