just some explanation aside. Before you can use pd.read_csv to import your data, you need to locate your data in your filesystem.

Asuming you use a jupyter notebook or pyton file and the csv-file is in the same directory you are currently working in, you just can use:

import pandas as pd SouthKoreaRoads_df = pd.read_csv('SouthKoreaRoads.csv')

If the file is located in another directy, you need to specify this directory. For example if the csv is in a subdirectry (in respect to the python / jupyter you are working on) you need to add the directories name. If its in folder "data" then add data in front of the file seperated with a "/"

import pandas as pd SouthKoreaRoads_df = pd.read_csv('data/SouthKoreaRoads.csv')

Pandas accepts every valid string path and URLs, thereby you could also give a full path.

import pandas as pd SouthKoreaRoads_df = pd.read_csv('C:\Users\Ron\Desktop\Clients.csv')

so until now no OS-package needed. Pandas read_csv can also pass OS-Path-like-Objects but the use of OS is only needed if you want specify a path in a variable before accessing it or if you do complex path handling, maybe because the code you are working on needs to run in a nother environment like a webapp where the path is relative and could change if deployed differently.

please see also:

https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html https://docs.python.org/3/library/os.path.html

BR