IBM Data Science Capstone: Car Accident Severity Report

Introduction | Business Undertanding
Every year, thousands of lives are lost in traffic accidents in the world and in the United States, tens of thousands of people are injured and billions of dollars in economic loss occur. In 2015, a crash occurred in Washington every 4.5 minutes. Seattle recorded the highest number of car accidents in the state that year, at 14,508 (in second place was Tacoma with just 4,756). Although the city is taking steps to make the roadways safer for citizens, vehicle collisions are still a serious danger. The economic costs of these crashes totaled $242 billion. Included in these losses are lost productivity, medical costs, legal and court costs, emergency service costs (EMS), insurance administration costs, congestion costs, property damage, and workplace losses.

In this project, some recommendations will be provided on how to prevent accidents or how to take measures to prevent accidents with less damage, depending on several factors.
Stakeholders:
• Public Development Authority of Seattle
• Car Drivers
Data
These traffic records were collected by the SPD (Seattle Police Department) from the year 2004 to 2020. The data consists of 37 attributes and 194,673 collision records. The data set used for this project can be found here!.

Then, I began choosing columns to use from the dataframe that I created.