@Sagar, use filter followed by condition for each column. But this would not be the best method for a large data frame with more columns. Another way is to use filter_all( ).
Ex: filter_all(mtcars, all_vars(. > 150))
filter_all function applies the same condition to all columns and returns rows that satisfy the condition.
To filter rows if particular columns pass the condition use filter_at( ). You can specify the column/s using starts_with,ends_with,contains, matches, etc
Ex: filter_at(mtcars, vars(starts_with("d")), any_vars((. %% 2) == 0))