Hi, I need help with my assignment. I need to make a pairwise scatterplot using sns.pairplot for the World Happiness data. My task is to do the following.

• Define a variable called explanatory_vars that contains the list of the 6 key explanatory variables.
• Define a variable called plot_vars that contains Happiness and each of the explanatory variables. (Hint: recall that you can concatenate Python lists using the addition (+) operator.)
• Using sns.pairplot, make a pairwise scatterplot for the WHR dataframe over the variables of interest, namely the plot_vars. To add additional information, set the hue option to reflect the year of each data point, so that trends over time might become apparent. It will also be useful to include the options dropna=True and palette='Blues'.

The explanatory variables are (in our new naming scheme): 'LogGDP', 'Support', 'Life', 'Freedom', 'Generosity', and 'Corruption'.

The columns included on the report are:

cols_to_include = ['country', 'year', 'Life Ladder', 'Positive affect','Negative affect', 'Log GDP per capita', 'Social support', 'Healthy life expectancy at birth', 'Freedom to make life choices', 'Generosity', 'Perceptions of corruption']

renaming = {'Life Ladder': 'Happiness', 'Log GDP per capita': 'LogGDP', 'Social support': 'Support', 'Healthy life expectancy at birth': 'Life', 'Freedom to make life choices': 'Freedom', 'Perceptions of corruption': 'Corruption', 'Positive affect': 'Positive', 'Negative affect': 'Negative'}

Can you please help me out? Thank you!

Note this is for pandas, python