https://github.com/mainak-97/instagram-user-analytics-using-mysql

This project analyzes data from an Instagram database to understand user behavior, preferences, and engagement patterns. The insights aim to enhance content strategies and optimize marketing efforts on the platform.
https://github.com/mainak-97/instagram-user-analytics-using-mysql

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This project analyzes data from an Instagram database to understand user behavior, preferences, and engagement patterns. The insights aim to enhance content strategies and optimize marketing efforts on the platform.

• Host: GitHub
• URL: https://github.com/mainak-97/instagram-user-analytics-using-mysql
• Owner: Mainak-97
• Created: 2024-08-25T14:55:55.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-26T05:43:03.000Z (5 months ago)
• Last Synced: 2024-08-26T07:01:14.291Z (5 months ago)
• Homepage:
• Size: 3.83 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

![Logo](https://i.imgur.com/QUP0HxF.jpeg)

# Instagram User Analytics

## SQL Project

## Tech Stack

**MySQL Workbench 8.0 CE**

## Project Overview

As a data analyst working with the product team at Instagram. This role involves analyzing user interactions and engagement with the Instagram app to provide valuable insights that can help the business grow.

This project is done by using SQL and MySQL Workbench as analysis tool to analyze Instagram user data and answer questions posed by the management team. 

The insights will help the product manager and the rest of the team make informed decisions about the future direction of the Instagram app.

## Objectives

The goal of this project is to use SQL skills to extract meaningful insights from the data. The findings could potentially influence the future development of one of the world's most popular social media platforms, i.e. INSTAGRAM.

#### The chronology of completing the project is as follows:

1. Create Database: It Starts by running the provided commands to create the necessary database for the project.

2. Perform Analysis: Utilizing SQL to perform the analysis and answer the questions mentioned in the project description.

3. Report Submission: Preparing the report in PDF and PowerPoint format that will be presented to the leadership team. 

##### The report includes the following sections:

A) Marketing Analysis:

1. Loyal User Reward: Five oldest users on Instagram.

2. Inactive User Engagement: Users who have never posted a single photo on Instagram.

3. Contest Winner Declaration: Users with the most likes on a single photo.

4. Hashtag Research: Top five most commonly used hashtags on the platform.

5. Ad Campaign Launch: The day of the week when most users register on Instagram.

B) Investor Metrics:

1. User Engagement: The average number of posts per user.

2. Bots & Fake Accounts: Identify potential bots or fake accounts.

#### Installation and Setup

Download the Repository:

Navigate to the GitHub repository and click on the Code button.

Select Download ZIP to download the repository to your local machine.

Extract the contents of the ZIP file.

Import the SQL File:

The SQL dump file is included in the repository. Locate the SQL file in the extracted folder.

Open MySQL Workbench.

Navigate to File > Open SQL Script and select the SQL file from the repository.

Execute the script by clicking on the lightning bolt icon or pressing CTRL + Enter.

Run SQL Scripts:

The repository also contains individual SQL scripts for each analysis in the scripts/ directory.

Open these scripts in MySQL Workbench to reproduce the results of the case studies.