Analyzing Instagram User Engagement with SQL Project

📊 Instagram user analysis is the process of tracking user engagement and interaction to derive business insights.

💼 The insights from the analysis are used to launch marketing campaigns, decide on app features, measure user engagement, and improve the user experience.

🔍 In this project, we need to find the five oldest users on Instagram from the provided database.

💡 Understanding the different components of Instagram user analytics: comments, follows, likes, tags, and photos.

⚙️ Using MYSQL workbench to access the database and retrieve information about the users, including their ID, username, and creation date.

📅 Finding the five oldest Instagram users by querying the database and ordering the results by creation date in ascending order.

📅 The oldest customers or users are from 2016.

📸 Using a left join, we can find the users who have never posted a single photo on Instagram.

🔍 Identifying the users and their usernames from the data.

🏆 Determining the winner of the contest based on the most number of photo likes.

📊 Explaining the step-by-step process of joining tables and grouping data to obtain the results.

The top five most commonly used hashtags are identified and suggested.

The day of the week with the most user registrations is determined.

📊 Analyzing Instagram user registration trends: Thursday and Sunday have the most registered users.

📸 Calculating the total number of photos on Instagram and the average number of posts per user.

👍 Identifying users who have liked every single photo on the site.

📊 This video is about a data analytics project on Instagram user analysis using MYSQL workbench.

👥 The project involved analyzing user engagement and identifying bots and fake accounts.

🔍 The analysis included finding the oldest users, inactive users, users with the most likes, top hashtags, and user posting frequency.