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The main aim of this project is to handle end to end ETL process and analysis of datasets related to Chicago City Crashes.I have achieved this by using Python libraries to execute the ETL process and systematically retrieve, store, clean and preprocess the data and finally load it into a Database so that we run analysis on the datasets.

Dockerfile 1.17% Python 98.83%

etl-and-data-analysis-for-chicago-city-vehicle-crash-data's Introduction

ETL and Data Analysis for Chicago City Car Crash Data

Data Sets Used:

Motor Vehicle Collisions - Crashes: https://catalog.data.gov/dataset/motor-vehicle-collisions-crashes

Traffic Crashes - People: https://catalog.data.gov/dataset/traffic-crashes-people

Traffic Crashes - Vehicles: https://catalog.data.gov/dataset/traffic-crashes-vehicles


To run the code download the files or git pull and run the command docker compose up

Once the container is running go to 127.0.0.1:3000 to access the dagster ETL dashboard launch a run by clicking on the 'run' tab and and launching a run.

Once the ETL is completed start the 'plotly' container and go to 127.0.0.1:8050 to access the dashboard

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