README.md

Global Significant Earthquake Analysis

The Significant Earthquake Dataset is a global listing of over 5,700 earthquakes from 2150 BC to the present. A significant earthquake is classified as one that meets at least one of the following criteria: caused deaths, caused moderate damage (approximately $1 million or more), magnitude 7.5 or greater, Modified Mercalli Intensity (MMI) X or greater, or the earthquake generated a tsunami. The database provides information on the date and time of occurrence, latitude and longitude, focal depth, magnitude, maximum MMI intensity, and socio-economic data such as the total number of casualties, injuries, houses destroyed, and houses damaged, and $ dollage damage estimates. References, political geography, and additional comments are also provided for each earthquake. If the earthquake was associated with a tsunami or volcanic eruption, it is flagged and linked to the related tsunami event or significant volcanic eruption. The purpose of this project is to perform a comprehensive Exploratory Data Analysis (EDA) on Global Significant Earthquake data to uncover patterns, trends, and insights.

Our Dataset

The dataset used for this analysis is available on Kaggle. "Global Significant Earthquake Database from 2150BC" "https://www.kaggle.com/datasets/mohitkr05/global-significant-earthquake-database-from-2150bc"

This repository contains Python code for analysing a worldwide earthquake database. The dataset provides information about significant earthquakes, including their magnitudes, locations, and temporal patterns.

Getting Started

Prerequisites

Make sure you have the following dependencies installed:

Python 3

Jupyter Notebook

Required Python packages: matplotlib, pandas, numpy, hvplot, geoviews, geopandas, scipy, seaborn, folium

Download the Worldwide-Earthquake-database.csv file and place it in the "Resources" folder.

In this project, we will check

Q1. Where are the earthquakes? Are they located on the Pacific Ring of Fire?

Q2. When do earthquakes occur? Investigating the number of earthquake trends over time

Q3. How often do earthquakes trigger tsunamis?

Q4. What is the correlation between Magnitude and Intensity?

Analysis and Results

The analysis provides valuable insights into earthquake patterns, intensity distribution, and trends over time. Explore the generated plots and maps to gain a comprehensive understanding of seismic activity worldwide. The analysis are provided inside the main Jupyter Notebook.

Acknowledgments

Dataset Source: Kaggle - Global Significant Earthquake Database - "https://www.kaggle.com/datasets/mohitkr05/global-significant-earthquake-database-from-2150bc"

Feel free to contribute, report issues, or suggest improvements.