Population Decline in Segregated Neighborhoods
While some urban areas have gentrified, other areas are being abandoned. Does the racial makeup of a neighborhood affect population change? In this exercise you will plot population gain or loss between 1990 and 2010 (in percentage terms) against the percent African-American of each tract in 1990.
When you examine the histogram of percent population change, you will notice that a small number of tracts have increased by 200%, 500%, 1000% or more! These are generally new developments in very low populations tracts, and will make interpreting our next plot difficult, so you will filter them out before proceeding.
tracts_cook is still loaded for you. pandas and seaborn are loaded using the usual aliases.
This exercise is part of the course
Analyzing US Census Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate percent population change 1990-2010
tracts_cook["pct_pop_change"] = ____
# Examine histogram of percent population change
sns.distplot(____, ____)
plt.show()