The rise of online dating apps has transformed how Gen Z in India explores relationships, social interactions, and casual dating. This analysis investigates dating app usage patterns, preferences, and challenges faced by individuals aged 18-25 across major Indian cities.

: ✅ Most popular dating apps ✅ Frequency & reasons for usage ✅ User satisfaction levels ✅ Challenges like safety concerns & time-wasting ✅ Preferences for features & communication methods

The study employs data visualization, statistical insights, and correlation analysis to understand the evolving landscape of online dating in India. 🚀\

User_ID: Unique identifier for each participant.

Age: Age of the user (18-25 range).

Gender: Gender identity (Male, Female, Non-binary, etc.).

Location: City of residence (e.g., Delhi, Mumbai).

Education: Education level (Undergraduate, Graduate, Postgraduate).

Occupation: Occupation type (e.g., Student, Freelancer, Intern).

Primary_App: The main dating app used by the user (e.g., Tinder, Bumble, Hinge).

Secondary_Apps: Other dating apps used, if any.

Usage_Frequency: How often they use dating apps (Daily, Weekly, Monthly).

Daily_Usage_Time: Time spent daily on dating apps (e.g., 1 hour, 2 hours).

Reason_for_Using: Purpose for using the apps (e.g., Casual Dating, Finding a Partner).

Satisfaction: Satisfaction level with the primary app (e.g., 1 to 5 scale).

Challenges: Challenges faced during usage (e.g., Safety Concerns, Lack of Matches).

Desired_Features: Features users want in dating apps (e.g., Video Calls, Compatibility Insights).

Preferred_Communication: Communication preferences (e.g., Text, Voice Notes, Video Calls).

Partner_Priorities: Attributes prioritized in a partner (e.g., Personality > Interests > Appearance).

Context

I was interested in learning the growing trend of what dating apps are used for in India over the years.

Content

The data is from 2017-2022. I acquired the data using google_play_scraper from google playstore online. The data I received was more than just the column shown here but were unnecessary.

Inspiration

1. Are dating apps being downloaded more and more over the years? Won't get a close estimate of it using this data but will be able to still have a relative idea.
2. Which app has more favorable responses? Have those favorable responses stayed consistent through the years or have they increased/decreased? Does the first question change if we consider the last two years as the appropriate timeline to consider the favorability of one of the considered apps?
3. What are the common issues for those who rate the app below 3/5?
4. Do users find relationships? Do people find what they are looking for? (hard to answer using text analytics? maybe, but it is an interesting and crucial question)
5. User enthusiasm over the app is linked to their rating?
6. Are top rated reviews being found more useful to other users/potential users or the reverse?
7. Any common user of the three apps? Which app they favor? Which app stands in favor in case there are common users across the three?