why is the minimum value is 18K but my original data has maximum value 12K

Question

my data has a maximum value of 12K but when i visualize the data it says that the minmum value is 18K which is WRONG

the problem is with the A(s) variable this is the code in python

 date   CLEARANCE   PERMITS     INSPECTION  Facilities licenses     PR  A(s)
   2020-04-01   25321   17913   16987   6631    14976                      1980
   2020-05-01   22277   22154   6588    5156    7392                       1150
   2020-06-01   32063   16542   13021   6720    18963                      2311
   2020-07-01   27345   15658   7680    5100    20947                      2096
   2020-08-01   28565   16222   6634    4652    19591                      2045


from pandas._config import describe_option
describe_option
df.hist(bins=10, figsize=(9,7), grid=False);
df.info()

this is the output

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 31 entries, 0 to 30
Data columns (total 7 columns):
 #   Column               Non-Null Count  Dtype         
---  ------               --------------  -----         
 0   date                 31 non-null     datetime64[ns]
 1   A(s)                 31 non-null     int64         
 2   CLEARANCE            31 non-null     int64         
 3   PERMITS              31 non-null     int64         
 4   INSPECTION           31 non-null     int64         
 5   Facilities licenses  31 non-null     int64         
 6   PR                   31 non-null     int64         
dtypes: datetime64[ns](1), int64(6)
memory usage: 1.8 KB

please help thank you