Path: blob/master/Time Forecasting using Python/poptrend.csv
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ds,y 1980-12-31,4450 1981-12-31,4530 1982-12-31,4610 1983-12-31,4690 1984-12-31,4770 1985-12-31,4850 1986-12-31,4930 1987-12-31,5010 1988-12-31,5090 1989-12-31,5170 1990-12-31,5250 1991-12-31,5330 1992-12-31,5410 1993-12-31,5490 1994-12-31,5570 1995-12-31,5650 1996-12-31,5730 1997-12-31,5810 1998-12-31,5890 1999-12-31,5970 2000-12-31,6050 2001-12-31,6130 2002-12-31,6210 2003-12-31,6290 2004-12-31,6370 2005-12-31,6450 2006-12-31,6530 2007-12-31,6610 2008-12-31,6690 2009-12-31,6770 2010-12-31,6850 2011-12-31,6930 2012-12-31,7010 2013-12-31,7090 2014-12-31,7170 2015-12-31,7250 2016-12-31,7330 2017-12-31,7410 2018-12-31,7490 2019-12-31,7570 2020-12-31,7650 2021-12-31,7730 2022-12-31,7810