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health_and_fitness_db's Introduction

Fitness Tracker Database

This repository contains the SQL schema and data insertion scripts for a fitness tracker application. It also includes a set of predefined queries to analyze the data.

Project Structure

  • init.sql: This file contains the SQL commands to create the database schema.
  • insert_data.sql: This file contains SQL commands to insert data into the database.
  • queries.sql: This file contains SQL queries to retrieve data from the database for analysis.

Additionally, there are Python scripts to facilitate the creation of the database, data insertion, and data querying.

Installation

To set up the project environment and run the scripts, follow these steps:

Prerequisites

  • SQLite3
  • Python 3 (if you plan to interact with the database using Python)

SQLite comes pre-installed on many operating systems, or you can download it from the SQLite Download Page.

Setup

  1. Clone the repository to your local machine:
git clone https://github.com/makoohara/health_and_fitness_db 
cd /path/to/fitness-tracker-db
  1. Use the sqlite3 locally in your computer. Make sure it is accessible in bin through the command sqlite3:

Running the files

sqlite3 main.db < init.sql
sqlite3 main.db < insert_data.sql
sqlite3 main.db < queries.sql

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