DATING App User Data
Unveiling DATING Trend User Demographics, Interests, and Behaviors
@kaggle.anandshaw2001_dating_dataset
Unveiling DATING Trend User Demographics, Interests, and Behaviors
@kaggle.anandshaw2001_dating_dataset
This dataset contains simulated data from a DATING app. It is designed to explore user behaviors, preferences, and demographics trends.
User ID: Unique identifier for each user.
Age: Age of the user (range: 18-35 years).
Gender: Gender of the user (Male/Female).
Height: User's height in feet.
Interests: A list of user interests (Sports, Reading, Movies).
Looking For: The type of relationship the user is seeking (Casual Dating, Marriage).
Children: Whether the user has children (Yes/No).
Education Level: User's highest education qualification (High School, Ph.D.).
Occupation: Current occupation of the user (Doctor, Engineer, Artist).
Swiping History: Total number of swipes by the user.
Frequency of Usage: How often the user uses the app (Daily, Weekly, Monthly).
CREATE TABLE dating_app_dataset (
"user_id" BIGINT,
"age" BIGINT,
"gender" VARCHAR,
"height" DOUBLE,
"interests" VARCHAR,
"looking_for" VARCHAR,
"children" VARCHAR,
"education_level" VARCHAR,
"occupation" VARCHAR,
"swiping_history" BIGINT,
"frequency_of_usage" VARCHAR
);Anyone who has the link will be able to view this.