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US Accidents Exploratory Data Analysis

  1. The source of this data is Kaggle.
  2. It contains information about accidents from 49 American states.
  3. Can be helpful to understand and figure out the exact cause that contribute to car accidents and how these factors affect the severity of the accidents differently.
  4. I'll also explore traffic behaviour and the accidents caused during the periodof COVID-19.

This is my final project under the Google's Data Analytics Professional Certification. I've followed the six step approach of analysis throughout the project, the six steps are as follows-

  1. Ask
  2. Prepare
  3. Process
  4. Analyze
  5. Share
  6. Act

##Ask

  1. What problem am I trying to solve?

Identifying environmental factors behind accidents; traffic behaviour and impact on accidents during COVID-19.

  1. Who are the stakeholders?

The local trasportation safety staff, car insurance providers. I'll be using my finding to design an app for drivers which would help them take preventive measures.

  1. Who are the users?

People who drive cars and those who have the power to make adjustments and concern the safety of drivers.

  1. What metrics I'll use to measure my data to achieve my objective?

I'll use the environmental factors such as temperature, precipitation, windspeed and so on to analyze the impact of environmental factors on car accidents. Meanwhile, I'll use the Start_Time of the accidents, the location (Start_Lng and Start_Lat) of the accidents to help finding other possible insights.

##Prepare
The data will be prepared by identifying how it is organized and arranged, sorting and filtering the data will be helpful in finding the useful data, and the data credibility is also analyzed.

pip install opendatasets --upgrade --quiet