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https://github.com/amishidesai04/emergency-calls-data-analysis-project
Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.
https://github.com/amishidesai04/emergency-calls-data-analysis-project
analysis data-analysis data-extraction data-processing data-science data-visualization numpy pandas python seaborn
Last synced: 3 days ago
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Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.
- Host: GitHub
- URL: https://github.com/amishidesai04/emergency-calls-data-analysis-project
- Owner: AmishiDesai04
- Created: 2024-05-19T07:20:09.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-10-16T17:53:59.000Z (about 1 month ago)
- Last Synced: 2024-10-18T16:45:46.625Z (about 1 month ago)
- Topics: analysis, data-analysis, data-extraction, data-processing, data-science, data-visualization, numpy, pandas, python, seaborn
- Language: Python
- Homepage:
- Size: 898 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Emergency Calls Data-Analysis Project - DEP
Welcome to the Emergency Calls Data Analysis project repository. This project focuses on extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset obtained from Kaggle. The primary goal is to analyze emergency call trends in Montgomery County, Pennsylvania, over multiple years.
**URL for the Dataset:**
```
https://www.kaggle.com/datasets/mchirico/montcoalert
```
## Dataset Overview
The dataset contains records of emergency calls made to Montgomery County. It consists of 663,522 records, each with 9 attributes. The emergency calls are broadly classified into three categories: EMS, Fire, and Traffic.
**Description about the attributes in the dataset:**
| Attribute Name | Description |
| ----------------- | ------------------------------------------------------------------ |
| *Lat* | Latitude of the station |
| *Lng* | Longitude of the station |
| *Desc* | Description of the Emergency Call |
| *Zip* | Zipcode |
| *title* | Emergency Reason |
| *Timestamp* |Timestamp of Call (YYYY-MM-DD HH:MM:SS) |
| *Twp* | Township |
| *Addr* | Address |
| *e* | Dummy Variable (always 1) |
## Project Objectives
1. **Data Exploration:** Understand the dataset's shape, attributes, and any anomalies or inconsistencies.
2. **Data Processing:** Clean the data by handling null values, extracting critical information, and organizing it for analysis.
3. **Data Visualization:** Create visualizations to represent trends and patterns in emergency calls across different categories and years.
## Libraries Used
`pandas`
`NumPy`
`Seaborn`
`Matplotlib`
## Project Tasks
* **Dataset Understanding:** Analyze the dataset's structure and attribute types.
* **Anomaly Detection:** Identify and address any inconsistencies or anomalies in the dataset.
* **Data Cleaning:** Remove null values and prepare the data for analysis.
* **Data Extraction:** Extract critical information related to emergency calls into separate attributes.
* **Visualization:** Create insightful visualizations to aid in data interpretation and analysis.
## Authors
This project is co-owned by: [@AmishiDesai04](https://www.github.com/AmishiDesai04), Pratham Vasa, Sparsh Panchori, Vansh Dhoka, Amogh Jambaulikar
##
Please don't hesitate to offer suggestions, report any issues you encounter, share your feedback, or engage in any other form of communication! Your input is highly valued and appreciated.