'utf-8' codec can't decode byte 0x92 in position 18: invalid start byte
The data is indeed not encoded as UTF-8; everything is ASCII except for that single 0x92 byte:
b'Korea, Dem. People\x92s Rep.'
Decode it as Windows codepage 1252 instead, where 0x92 is a fancy quote, ’:
df1 = pd.read_csv("https://raw.githubusercontent.com/tuyenhavan/Statistics/Dataset/World_Life_Expectancy.csv",
sep=";", encoding='cp1252')
Demo:
>>> import pandas as pd
>>> df1 = pd.read_csv("https://raw.githubusercontent.com/tuyenhavan/Statistics/Dataset/World_Life_Expectancy.csv",
... sep=";", encoding='cp1252')
>>> df1.head()
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 \
0 Afghanistan 55.1 55.5 55.9 56.2 56.6 57.0 57.4 57.8 58.2 58.6
1 Albania 74.3 74.7 75.2 75.5 75.8 76.1 76.3 76.5 76.7 76.8
2 Algeria 70.2 70.6 71.0 71.4 71.8 72.2 72.6 72.9 73.2 73.5
3 American Samoa .. .. .. .. .. .. .. .. .. ..
4 Andorra .. .. .. .. .. .. .. .. .. ..
2010 2011 2012 2013 Unnamed: 15 2014 2015
0 59.0 59.3 59.7 60.0 NaN 60.4 60.7
1 77.0 77.2 77.4 77.6 NaN 77.8 78.0
2 73.8 74.1 74.3 74.6 NaN 74.8 75.0
3 .. .. .. .. NaN .. ..
4 .. .. .. .. NaN .. ..
I note however, that Pandas seems to take the HTTP headers at face value too and produces a Mojibake when you load your data from a URL. When I save the data directly to disk, then load it with pd.read_csv() the data is correctly decoded, but loading from the URL produces re-coded data:
>>> df1[' '][102]
'Korea, Dem. People’s Rep.'
>>> df1[' '][102].encode('cp1252').decode('utf8')
'Korea, Dem. People’s Rep.'
This is a known bug in Pandas. You can work around this by using urllib.request to load the URL and pass that to pd.read_csv() instead:
>>> import urllib.request
>>> with urllib.request.urlopen("https://raw.githubusercontent.com/tuyenhavan/Statistics/Dataset/World_Life_Expectancy.csv") as resp:
... df1 = pd.read_csv(resp, sep=";", encoding='cp1252')
...
>>> df1[' '][102]
'Korea, Dem. People’s Rep.'