Social Media Usage Dataset(Applications)

Context:
This dataset offers insights into the usage patterns of social media apps for 1,000 users across seven popular platforms: Facebook, Instagram, Twitter, Snapchat, TikTok, LinkedIn, and Pinterest. It tracks various metrics such as daily time spent on the app, number of posts made, likes received, and new followers gained.

Dataset Features:

User_ID: Unique identifier for each user.
App: The social media platform being used.
Daily_Minutes_Spent: Total time a user spends on the app each day, ranging from 5 to 500 minutes.
Posts_Per_Day: Number of posts a user creates per day, ranging from 0 to 20.
Likes_Per_Day: Total number of likes a user receives on their posts each day, ranging from 0 to 200.
Follows_Per_Day: The number of new followers a user gains daily, ranging from 0 to 50.
Context & Use Cases:
This dataset could be particularly useful for social media analysts, digital marketers, or researchers interested in understanding user engagement trends across different platforms. It provides insights into how much time users spend, how actively they post, and the level of engagement they receive (in terms of likes and followers).

Conclusion & Outcome:
Analyzing this dataset could yield several outcomes:

Engagement Patterns: Identifying which platforms have higher engagement in terms of time spent or likes received.
Active Users: Determining which users are the most active across various platforms based on the number of posts and followers gained.
User Retention: Studying the correlation between time spent and follower growth, providing insight into user retention strategies for different platforms.
Overall, the dataset allows for exploration of social media usage trends and helps drive decision-making for marketing strategies, content creation, and platform engagement.