Using sqlite3, load climate.db; and show the data. The database follows the below schema:
Year | CO2 | Temperature |
---|---|---|
1950 | 250 | 14.1 |
1960 | 265 | 15.5 |
1970 | 272 | 16.3 |
1980 | 260 | 18.1 |
1990 | 300 | 17.3 |
2000 | 320 | 19.1 |
2010 | 389 | 20.2 |
Using Pandas, load climate.csv; and show the data.