Open rjweiss opened 8 years ago
Will try to add "gender" as a new column, even though for most years it will be NA.
I can add new gender as a column, but for some reason this results in a severe drop in rows for both Alameda and SB. Need to track down why this is happening.
FYI, using the file currently in working data, gender is still going into occupation field.
dat %>% filter(yr==1912) %>% select(recordnum, pagenum,occupation, name, address) %>% head %>% tail(5) recordnum pagenum occupation name address 2 50774 6 fern housewife Bragg Willia 761 Willow st 3 50775 6 male laborer Bridge James 421 Willow st 4 50776 6 fem housewife Bridge Viola 421 Willow st 5 50777 6 fem housekeeper Brown Ellen 1714 5th st 6 50778 6 male barber Brown Samuel T 1735 7th st
Introduced for Alameda, parse it out