Regarding Function for filtering data

I am trying to create a function which dynamically filter the value in data and then summarize it accordingly...

like we have drop down question below if a person select sales the he need to specify number, else he will get a drop down options (state or team) definition of column is as_character while reading database.

Sample Data
Focusing Area   Answer
transfer         NY
sale             130
sale             110
transfer         CA
Developing       Team
Developing       Product
transfer         MI
sale             115

i want a to standardize a function like,it will filter sales from data and summarize accordingly.

Text_tab_filter<-function(data,filter_var, Text_var,filter_val,title)
{filter_var <- ensym(filter_var)
val_var <- ensym(Text_var)
  
  dat1<-data%>% select(!!filter_var,!!Text_var)
  
  dat1<- dat1%>% filter(!!filter_var==!!filter_val) 
  
  summ_tab1<- as.numeric(dat1[[Text_var]]) %>% filter(!is.na(!!Text_var)) %>%   summarise(
    q25 = round(quantile(!!Text_var,  type=6, probs = seq(0, 1, 0.25), na.rm=TRUE)[2],digits = 1),
    Median =round(quantile(!!Text_var, type=6, probs = seq(0, 1, 0.25), na.rm=TRUE)[3],digits = 1),
    Average = round( mean(!!Text_var, na.rm=TRUE),digits = 1),
    q75 = round(quantile(!!Text_var, type=6, probs = seq(0, 1, 0.25), na.rm=TRUE)[4],digits = 1) ,
    N = sum(!is.na(!!Text_var)))

}


error getting:
But getting error Error in UseMethod("filter_") : no applicable method for 'filter_' applied to an object of class "c('double', 'numeric')"


output should be like below
	   N	25th percentile	Median	Average	75th percentile
Sales	3	107	             115	 118.3	     112