bhanu-kanamarlapudi / EarthquakeAnalysis-PySpark

Earthquake Analysis with PySpark

This project performs analysis on earthquake data using PySpark SQL and DataFrames.

Data

The data is stored in a MySQL database table named neic_earthquakes with the following schema:

CREATE TABLE IF NOT EXISTS neic_earthquakes (
    `Date` DATE,
    `Time` TIME,
    `Latitude` DECIMAL(10, 6),
    `Longitude` DECIMAL(10, 6),
    `Type` VARCHAR(255),
    `Depth` DECIMAL(10, 2),
    `Depth Error` DECIMAL(10, 2),
    `Depth Seismic Stations` INT,
    `Magnitude` DECIMAL(3, 1),
    `Magnitude Type` VARCHAR(255),
    `Magnitude Error` DECIMAL(3, 1),
    `Magnitude Seismic Stations` INT,
    `Azimuthal Gap` DECIMAL(5, 2),
    `Horizontal Distance` DECIMAL(10, 2),
    `Horizontal Error` DECIMAL(10, 2),
    `Root Mean Square` DECIMAL(5, 2),
    `ID` VARCHAR(255),
    `Source` VARCHAR(255),
    `Location Source` VARCHAR(255),
    `Magnitude Source` VARCHAR(255),
    `Status` VARCHAR(255)
    );

Requirements

To run this code, you need:

1. Python 3
2. PySpark 3.0+
3. pandas
4. MySQL Connector Python module
5. MySQL JAR Connector - https://dev.mysql.com/downloads/connector/j/
   

To install python modules, run the following command: pip install -r requirements.txt

Configuration

Important: Update the following constants in the code to match your database configuration:

1. host = "localhost"
2. user = ""
3. password = ""
4. database = "aidetic" #dbname
5. csv_file = "../database.csv" #filelocation
6. table_name = "neic_earthquakes"

Running the Code

To execute the PySpark script for this analysis:

1. Ensure you meet all the requirements and configuration steps above
2. Navigate to the project directory: /src/
3. To upload data from CSV to MySQL table, run the following command: python3 csv_to_mysql_upload.py
4. Follow these instructions to read data and execute queries:
   1. To execute all queries, use the following command: spark-submit --jars ../mysql-connector-j-8.2.0/mysql-connector-j-8.2.0.jar spark_df_queries.py --all all
   2. To execute a specific query, use the following command: spark-submit --jars ../mysql-connector-j-8.2.0/mysql-connector-j-8.2.0.jar spark_df_queries.py --questionNum 1
   3. For Query-2, the default year is set to 2015. To execute for a different year, add the following argument to the above commands: --yearOfInterest 1995
5. The output results will be displayed

Questions answered through Analysis

1. How does the Day of the Week affect the number of earthquakes?
2. What is the relation between the Day of the month and the number of earthquakes that happened in a year?
3. What does the average frequency of earthquakes in a month from the year 1965 to 2016 tell us?
4. What is the relation between the Year and Number of earthquakes that happened in that year?
5. How has the earthquake magnitude on average been varied over the years?
6. How does the year impact the standard deviation of the earthquakes?
7. Does geographic location have anything to do with earthquakes?
8. Where do earthquakes occur very frequently?
9. What is the relation between Magnitude, Magnitude Type, Status, and Root Mean Square of the earthquakes?