Social media data is analyzed to uncover valuable insights about your audience. This video demonstrates how Power BI can be used to create interactive dashboards that visualize these insights, allowing for a deeper understanding of your customer base.

Dataset is available here : https://github.com/slidescope/social_media_analytics_powerbi

Here is the column description for the extracted social media analysis data:

1. user_id – A unique identifier assigned to each user (e.g., U001, U002, etc.).
2. country – The country where the user is located (e.g., USA, India, UK, etc.).
3. gender – The gender of the user (Male, Female, Non-binary).
4. age – The age of the user in years (ranging from 13 to 65).
5. likes – The total number of likes the user has given to posts.
6. comments – The total number of comments the user has made on posts.
7. shares – The total number of times the user has shared posts.
8. profession – The profession of the user (e.g., Engineer, Teacher, Musician, etc.).
9. hobby – The hobby of the user (e.g., Gaming, Reading, Cooking, etc.).
10. 3-second-video-views – The number of times the user watched a video for at least 3 seconds.
11. 1-minute-video-views – The number of times the user watched a video for at least 1 minute.