Analyzing Instagram User Engagement with SQL Project
This video explores an SQL project on analyzing Instagram user engagement using MySQL workbench and finding the five oldest users.
00:00:00 This video explores an SQL project on analyzing Instagram user engagement using MySQL workbench. It explains the importance of user analysis for business growth and provides steps to find the five oldest users on Instagram.
📊 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.
00:03:17 This video explores a data analytics project on Instagram user analysis using MYSQL workbench. It covers topics like followers, likes, tags, and user details. The focus is on finding the five oldest Instagram users from the 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.
00:06:34 An analysis project on Instagram user engagement using MYSQL workbench. Find the oldest users and users who have never posted a photo on Instagram.
📅 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.
00:09:49 This video explains how to analyze Instagram user data and determine the winner of a contest based on the number of photo likes. It demonstrates the process of joining three tables and counting the likes for each user.
🔍 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.
00:13:05 Analyzing Instagram user data to identify the top five hashtags and the most popular registration day of the week.
The top five most commonly used hashtags are identified and suggested.
The day of the week with the most user registrations is determined.
00:16:21 An analysis of Instagram user data reveals that Thursday has the most registered users. The average user posts 2.57 times on Instagram. There are 100 users and 257 photos on Instagram. Users who have liked every photo on the site are considered abnormal.
📊 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.
00:19:37 This video is a basic SQL analysis of user analytics on Instagram, focusing on marketing and user engagement. It explores topics such as identifying bots and inactive users, finding the contest winner, analyzing top hashtags, and measuring user activity.
📊 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.
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