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Social-Media-Users-Dataset
This example displays the first record of a social-media-users dataset as a formatted JSON object, revealing fields such as UserID, name, gender, date of birth, interests, city, and country. The visualization uses Vue and WebGL to render the data structure, with the dataset imported from a CSV file and parsed for display. It highlights the raw data format that subsequent analyses, like interest comparisons or clustering, would build upon.
AI-generated descriptionSocial Media Users Dataset
This dataset provides information on social media usage across various platforms. It can be used for analyzing user trends, demographics, platform popularity, and other insights into how individuals interact with social media.
Dataset Overview
- Source: Arindam Sahoo on Kaggle.
- File:
Social_Media_Users.csv - Size: ~9 KB
- Format: CSV
Features
The dataset contains the following columns:
- Year: The year the data was recorded.
- Facebook Users (in billions): The number of users on Facebook.
- Instagram Users (in billions): The number of users on Instagram.
- Snapchat Users (in billions): The number of users on Snapchat.
- Twitter Users (in billions): The number of users on Twitter.
- Pinterest Users (in billions): The number of users on Pinterest.
Example Data
| Year | Facebook Users | Instagram Users | Snapchat Users | Twitter Users | Pinterest Users |
|---|---|---|---|---|---|
| 2017 | 1.94 | 0.7 | 0.26 | 0.33 | 0.20 |
| 2018 | 2.23 | 0.8 | 0.29 | 0.33 | 0.25 |
| 2019 | 2.38 | 0.9 | 0.32 | 0.33 | 0.30 |