Use the R language to read the csv file into a data frame, and then view the properties of each column.

[Problem Description]
Load the data into a data frame.
Use an R command to check data type has beenused for each column.
(Use the R language to read the csv file into a data frame, and then view the properties of each column.)

[R language code]

> df <- read.csv("D:/body.csv")> str(df)'data.frame': 3741 obs. of 12 variables:$ weight : num 15.8 17.9 23.5 16.8 15.3 18.3 13.7 13.8 19.8 19.2 ...$ stature : int 1033 1039 1112 997 997 987 941 933 1164 1100 ...$ head : int 498 506 512 489 473 513 507 490 529 524 ...$ shoulder: int 282 273 309 253 273 279 249 251 296 284 ...$ hand_l : int 120 121 121 116 114 114 101 109 125 123 ...$ hand_w : int 55 56 59 51 51 55 52 50 59 56 ...$ chest : int 526 564 601 532 501 558 503 502 553 563 ...$ waist : int 475 498 520 491 465 503 459 461 507 535 ...$ foot_l : int 163 163 171 163 167 164 150 150 175 172 ...$ foot_w : int 67 67 65 61 64 66 61 61 69 65 ...$ gender : Factor w/ 2 levels "F", "M": 1 2 1 1 1 2 2 1 1 1 ...$ age : int 50 51 53 46 41 44 40 43 66 62 ...