application_vnd.jupyter.stderr_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

age_10 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2010 - regional sex and age pop.csv', encoding='euc_kr')
age_11 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2011 - regional sex and age pop.csv', encoding='euc_kr')
age_12 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2012 - regional sex and age pop.csv', encoding='euc_kr')
age_13 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2013 - regional sex and age pop.csv', encoding='euc_kr')
age_14 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2014 - regional sex and age pop.csv', encoding='euc_kr')
age_15 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2015 - regional sex and age pop.csv', encoding='euc_kr')
age_16 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2016 - regional sex and age pop.csv', encoding='euc_kr')
age_17 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2017 - regional sex and age pop.csv', encoding='euc_kr')
age_18 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2018 - regional sex and age pop.csv', encoding='euc_kr')
age_19 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2019 - regional sex and age pop.csv', encoding='euc_kr')
age_20 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2020 - regional sex and age pop.csv', encoding='euc_kr')
age_21 = pd.read_csv('/kaggle/input/korea-age-repartition-20102021/2021 - regional sex and age pop.csv', encoding='euc_kr')