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Millennial Tinder Match Success Rates
Data Science and Analytics
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About
The dating landscape among millennials using the popular application, Tinder. It details the match rates achieved by individuals affiliated with various universities and investigates whether engagement with the application ultimately led the user to find a successful relationship. This relaxed mini dataset provides insights into the efficacy of online dating platforms for relationship formation among this demographic.
Columns
- ID: A unique identifier assigned to each user.
- Segment type: Indicates the medium of usage for the platform.
- Segment Description: Provides the name of the universities associated with the users. There are 151 unique university names recorded.
- Answer: A categorical column detailing whether the user reports using Tinder.
- Count: Represents the actual number of matches recorded by the user. Match counts range significantly, with a maximum recorded value of 1969.
- Percentage: The calculated percentage of matches achieved.
- It became a relationship: The target variable, indicating the success of the relationship in boolean terms (True or False). Approximately 29% of respondents reported success in forming a relationship.
Distribution
The data is provided in a CSV file format, titled "Tinder Millennial Match Rate Dataset.csv," and totals 27.58 kB in size. The structure contains 7 columns. The dataset includes 453 valid records, with no reported missing or mismatched entries across the columns.
Usage
This data is ideal for academic research into social media and dating trends. It can be used to analyse factors affecting online dating success, study demographic differences in match rates across different universities, or develop predictive models for relationship longevity based on initial digital interaction metrics.
Coverage
The scope of the data focuses on the Millennial demographic. It specifically captures the match-making performance of individuals from a multitude of different universities. The study does not specify explicit geographic or time range limitations, but focuses solely on usage and outcome related to the Tinder platform.
License
CC0: Public Domain
Who Can Use It
- Social Scientists and Researchers: To study modern courtship and the transition from online matching to real-world relationships.
- Data Scientists: For developing classification models based on the 'It became a relationship' target variable.
- Marketing Analysts: To understand user engagement and success metrics related to online communities and dating applications.
Dataset Name Suggestions
- Millennial Tinder Match Success Rates
- University Student Dating App Efficacy Study
- Online Dating Match Rates and Relationship Outcomes
Attributes
Original Data Source: Millennial Tinder Match Success Rates
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