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https://github.com/techshot25/baltimore-911-calls

Analysis of 911 calls provided by the city of Baltimore.
https://github.com/techshot25/baltimore-911-calls

data-analysis data-science decision-tree-classifier logistic-regression machine-learning machine-learning-algorithms statistics

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Analysis of 911 calls provided by the city of Baltimore.

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## Baltimore 911 calls
This code looks at the dataset `911_calls_for_service.csv` which contains over 22.4 million 911 calls made in the city of Baltimore. I will clean up the dataset to focus on the relationship between **call time**, **priority**, and **district**. I intend to train a classifier to accurately predict the **priority** of a given call based on the **call time** and **district**.

This dataset records the time, location, priority, and reason for calls to 911 in the city of Baltimore.

The file `911_calls_for_service_SAMPLE.csv` only displays the first 1000 rows. The original dataset is over 200 MB and can be downloaded from the links in the acknowledgements below.

## Acknowledgements
Thanks for Kaggle for making this set available. Visit [kaggle.com](https://www.kaggle.com/) if you need publicly available datasets for data analysis practice.

This particular dataset was retrieved from [here](https://www.kaggle.com/sohier/baltimore-911-calls/home) on January 6, 2019.

This dataset was kindly made available by the City of Baltimore. They update the data daily; you can find the original version [here](https://data.baltimorecity.gov/Public-Safety/911-Police-Calls-for-Service/xviu-ezkt).