Handling over-plotting and outlier values by managing opacity, symbols, and scales

Let's say we are now interested in seeing the relationship between our variable and population for the same year that we have been working on. We want to have Population, total on the x-axis, and perc_pov_19 on the y-axis.

We first create a subset of poverty where year is equal to 2010, and is_country is True, and sort the values using Population, total:

df =\
poverty[poverty['year'].eq(2010) & poverty['is_country']].sort_values('Population, total')

Let's now see what it looks like when we plot those two variables. Here is the code:

px.scatter(df,
           y=perc_pov_19,
           x='Population, total',
           title=' - '.join([perc_pov_19, '2010&apos...