So, if I wanted to filter by gender, housing type, and purpose for a credit loan, could I just do filter and do == for each of these variables?
dplyr::filter is probably easier
filtered <- housing_df %>% filter(gender == female) %>% filter(type == sf) %>% filter(purpose == refi)
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