{"id":20355007,"url":"https://github.com/amishidesai04/emergency-calls-data-analysis-project","last_synced_at":"2026-05-02T11:41:52.027Z","repository":{"id":240483701,"uuid":"802756303","full_name":"AmishiDesai04/Emergency-Calls-Data-Analysis-Project","owner":"AmishiDesai04","description":"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. 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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. \n\n**URL for the Dataset:**\n  ```\n  https://www.kaggle.com/datasets/mchirico/montcoalert\n  ```\n\n## Dataset Overview\n\nThe 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.\n\n**Description about the attributes in the dataset:**\n\n| Attribute Name             |  Description                                                                |\n| ----------------- | ------------------------------------------------------------------ |\n| *Lat* | Latitude of the station |\n| *Lng* | Longitude of the station |\n| *Desc* | Description of the Emergency Call |\n| *Zip* | Zipcode |\n| *title* | Emergency Reason |\n| *Timestamp* |Timestamp of Call (YYYY-MM-DD HH:MM:SS) |\n| *Twp* | Township |\n| *Addr* | Address |\n| *e* | Dummy Variable (always 1) |\n\n## Project Objectives\n\n1. **Data Exploration:** Understand the dataset's shape, attributes, and any anomalies or inconsistencies.\n2. **Data Processing:** Clean the data by handling null values, extracting critical information, and organizing it for analysis.\n3. **Data Visualization:** Create visualizations to represent trends and patterns in emergency calls across different categories and years.\n\n## Libraries Used\n\n`pandas`\n`NumPy`\n`Seaborn`\n`Matplotlib`\n\n## Project Tasks\n\n* **Dataset Understanding:** Analyze the dataset's structure and attribute types.\n* **Anomaly Detection:** Identify and address any inconsistencies or anomalies in the dataset.\n* **Data Cleaning:** Remove null values and prepare the data for analysis.\n* **Data Extraction:** Extract critical information related to emergency calls into separate attributes.\n* **Visualization:** Create insightful visualizations to aid in data interpretation and analysis.\n\n## Authors\n\nThis project is co-owned by: [@AmishiDesai04](https://www.github.com/AmishiDesai04), Pratham Vasa, Sparsh Panchori, Vansh Dhoka, Amogh Jambaulikar\n\n##\n\nPlease 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.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famishidesai04%2Femergency-calls-data-analysis-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famishidesai04%2Femergency-calls-data-analysis-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famishidesai04%2Femergency-calls-data-analysis-project/lists"}