55.dos.cuatro Where & Whenever Did My Swiping Patterns Changes?
Most information having mathematics people: Become so much more particular, we are going to make the ratio out-of fits to swipes best, parse one zeros from the numerator or even the denominator to 1 (essential for promoting genuine-respected recordarithms), and grab the absolute logarithm of this worth. It fact alone may not be eg interpretable, nevertheless the comparative complete trends would be.
bentinder = bentinder %>% mutate(swipe_right_price = (likes / (likes+passes))) %>% mutate(match_speed = log( ifelse(matches==0,1,matches) / ifelse(likes==0,1,likes))) rates = bentinder %>% get a hold of(go out,swipe_right_rate,match_rate) match_rate_plot = ggplot(rates) + geom_area(size=0.dos,alpha=0.5,aes(date,match_rate)) + phrases de drague pour les rencontres geom_effortless(aes(date,match_rate),color=tinder_pink,size=2,se=Untrue) + geom_vline(xintercept=date('2016-09-24'),color='blue',size=1) +geom_vline(xintercept=date('2019-08-01'),color='blue',size=1) + annotate('text',x=ymd('2016-01-01'),y=-0.5,label='Pittsburgh',color='blue',hjust=1) + annotate('text',x=ymd('2018-02-26'),y=-0.5,label='Philadelphia',color='blue',hjust=0.5) + annotate('text',x=ymd('2019-08-01'),y=-0.5,label='NYC',color='blue',hjust=-.