'''
Visualizing multiple variables with scatter plots

Boxplots are great when you have a numeric column that you want to compare across 
different categories. When you want to visualize two numeric columns, scatter plots 
are ideal.

In this exercise, your job is to make a scatter plot with 'initial_cost' on the 
x-axis and the 'total_est_fee' on the y-axis. You can do this by using the 
DataFrame .plot() method with kind='scatter'. You'll notice right away that there 
are 2 major outliers shown in the plots.

Since these outliers dominate the plot, an additional DataFrame, df_subset, 
has been provided, in which some of the extreme values have been removed. After 
making a scatter plot using this, you'll find some interesting patterns here that 
would not have been seen by looking at summary statistics or 1 variable plots.

When you're done, you can cycle between the two plots by clicking 
the 'Previous Plot' and 'Next Plot' buttons below the plot.

INSTRUCTIONS
100 XP
Using df, create a scatter plot (kind='scatter') with 'initial_cost' on the 
x-axis and the 'total_est_fee' on the y-axis. Rotate the x-axis labels by 70 
degrees.
Create another scatter plot exactly as above, substituting df_subset in place 
of df.
'''

