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Social Media User Online Time Analysis
Social Media and Posts
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About
This dataset captures various aspects of how users spend their time on social media platforms. It offers insights into user behaviour, including demographic details, interests, and device usage, and details the average time a user dedicates to social media. The data was generated for practice purposes, specifically for training an AI model.
Columns
- age: Represents the age of the user, ranging from 18 to 64 years.
- gender: Indicates the user's gender identity, which can be Male, Female, or Non-binary.
- demographics: Describes the type of area where the user resides, categorised as Urban, Suburban, or Rural.
- interests: Specifies the user's primary area of interest or hobby while engaging with social media, such as Lifestyle or Sports.
- device_type: Denotes the type of device used by the user, primarily Mobile.
- location: The country of residence for the user, with Australia being a common location.
- platform: Refers to the specific social media platform where the user spends their time, including Instagram and YouTube.
- profession: Details the user's occupation or professional status, such as Marketer Manager or Software Engineer.
- income: Shows the user's yearly income in US dollars, with values ranging from 10,000 to 20,000.
- indebt: A Boolean field indicating whether the user is in debt (True or False).
- homeowner: A Boolean field indicating whether the user owns a home (True or False).
- owns_cars: A Boolean field indicating whether the user owns cars (True or False).
- time_spent: Measures the amount of time, in hours, a user spends on social media.
Distribution
The dataset is provided in CSV format and has a size of approximately 88.09 kB. It contains 12 columns and consists of 1000 records or rows.
Usage
This dataset is ideal for training AI models, performing data analytics, and creating data visualisations related to social media user behaviour. It can be used for understanding patterns in social media usage, exploring correlations between demographic factors and time spent online, or for educational and practice purposes in data science.
Coverage
The dataset includes demographic information such as age (18-64), gender (Male, Female, Non-binary), and residential demographics (Urban, Suburban, Rural). Geographic scope is indicated by user location, with Australia being a frequently occurring country. There is no specific time range mentioned for the data, but the expected update frequency is monthly.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
This dataset is suitable for data analysts, data scientists, students, and beginners looking to practice with social media user data. It is particularly useful for those interested in training machine learning models, conducting preliminary data explorations, or creating visualisations to illustrate user engagement patterns.
Dataset Name Suggestions
- Social Media User Engagement Dataset
- Digital User Behaviour Data
- Social Network User Habits
- User Online Time Analysis
- Social Media Demographic Insights
Attributes
Original Data Source: Social Media User Online Time Analysis
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