- Reveals – what number of moments I unsealed new Tinder app
- Texts – messages traded into the software (separated because of the delivered vs. obtained in which mentioned, shared otherwise)
- Likes – what amount of moments We swiped correct (good.k.a beneficial. liked a person)
- Tickets – the amount of times I swiped remaining (a great.k.an excellent. passed to the a person)
- Swipes – the entire quantity of minutes I swiped, equivalent to wants + seats
55.dos.dos All-Time Statistics & An effective Demographical Breakthrough
##"Total messages delivered: 23047"##"Overall messages received: 19156"##"Full messages: 42203"I’m a talkative person, and this isn’t such as alarming. What is best regarding it talk-versus-pay attention pattern is where this has varied throughout the years, which we shall reach within the a while.
Needless to say, your own response could be a far more primal 49 THOUSAND Messages. . In this case, hold back until the thing is that my personal all of the-time totals round the every Tinder statistics.
texts = bentinder %>% look for(date,messages_sent,messages_received) %>% mutate(message_differential = messages_received - messages_sent) bentinder = bentinder %>% mutate(messages = messages_sent + messages_received) %>% select(-c(messages_sent,messages_received)) bentinder = bentinder %>% mutate(swipes=likes+passes) sapply(bentinder[-1],sum)## opens enjoys passes matches texts swipes ## 25081 75404 214505 8777 42203 289909This might give you make fun of, cry, lose the jaw, or just wipe their temples and move the head. Read More
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