Ok, but that will give a over all summary , like mean,median
but I just want summary like for , so that I get to know the class , then I can change to character or text. because some of the column names can have accent or alpha numeric
df11 <- data.frame(uniq_id=c(9143,2357,4339,8927,9149,4285,2683,8217,3702,7857,3255,4262,8501,7111,2681,6970),
name=c("xly,mnn","xab,Lan","mhy,mun","vgtu,mmc","ftu,sdh","kull,nnhu","hula,njam","mund,jiha","htfy,ntha","sghu,njui","sgyu,hytb","vdti,kula","mftyu,huta","mhuk,ghul","cday,bhsue","ajtu,nudj"),
city=c("A","B","C","C","D","F","S","C","E","S","A","B","W","S","C","A"),
age=c(22,45,67,34,43,22,34,43,34,52,37,44,41,40,39,30),
country=c("usa","USA","AUSTRALI","AUSTRALIA","uk","UK","SPAIN","SPAIN","CHINA","CHINA","BRAZIL","BRASIL","CHILE","USA","CANADA","UK"),
lang=c("ENGLISH(US)","ENGLISH(US)","ENGLISH","ENGLISH","ENGLISH(UK)","ENGLISH(UK)","SPANISH","SPANISH","CHINESE","CHINESE","ENGLISH","ENGLISH","ENGLISH","ENGLISH","ENGLISH","ENGLISH(US)"),
gender=c("MALE","FEMALE","male","m","f","MALE","FEMALE","f","FEMALE","MALE","MALE","MALE","FEMALE","FEMALE","MALE","MALE"))
in this case it should be like summary exported in excel
| Column_Name |
Class |
| unique_id |
numeric |
| city |
character |
| name |
character |
| age |
numeric |
| gender |
character |