YEAR 2000 2001 2002 2003 2004 2005 GROWTH 1088 1490 1414 1638 2087 EXPENSE INFLATION 511 0 738.9 0 410.8 0 430.5 0 500 0

[answerhappygod]

Year 2000 2001 2002 2003 2004 2005 Growth 1088 1490 1414 1638 2087 Expense Inflation 511 0 738 9 0 410 8 0 430 5 0 500 0 1 (104.42 KiB) Viewed 130 times

Kindly provide the step by step python correct codes
because I will also practice with it as a beginner. I will rate you
well. Thanks in advance.
YEAR 2000 2001 2002 2003 2004 2005 GROWTH 1088 1490 1414 1638 2087 EXPENSE INFLATION 511 0 738.9 0 410.8 0 430.5 0 500 0 858.1 0 858.1 0 1003.9 0 957.6 0 1138 6.37 1220 6.22 1362.7 5.51 1445 8.44 REVENUE 465.6 540.9 474.6 276.7 225.8 688.9 740.9 2147 2237 2006 2007 2686 3255 937.2 959.9 1142.4 1333 3210 2008 2009 2010 2011 2012 2013 3287 3742 1455 3597 1595 3891 1490.2 9.1 1713 4080 1512.1 1683 2014 2015 3603 1810 10.63 13.07 14.38 16.22 3780 851.2 837.8 849.2 2016 2017 1810 1810 4046 4420 2018 17.12 939.6 1033.4 1896 1992 4462 24.9 2019 2020 4000 0 26.3 0 Please use python to answer the following questions for someone that just downloaded python software 1. Use python to import the excel data 2. Use Python for the descriptive analysis and provide the correct codes 3. Use python for the regression using Growth as the dependent variable and the rest as Independent variables. 4. Perform the correlation analysis