Activity 2

Activity 2#

Download the data for the assignment from here. This dataset contains population and income data for Census tracts in Lane County, Oregon. In this activity, we will use the geopandas package to do some basic analysis on this dataset.

Note

B01003_001 is population and B19301_001 is household income.

../../_images/lane-county.png

  • Activate the .gds Python environment by opening an Anaconda Prompt (miniconda3) (Windows) or Terminal (macOS). Then, on Windows:

.gds\Scripts\activate

Or, on macOS:

source .gds/bin/activate

Note

Make sure you run this command from the same directory as the .gds environment folder.

  • Open a Jupyter Notebook by running:

jupyter notebook

Tip

If you run this command from your course folder, your .ipynb assignment will automatically be saved there.

Task 1 (5 points)#

Import the geopandas package and read the shapefile. Write some code that prints the following information:

  • Number of columns

  • Number of rows

  • The maximum B01003_001 value

  • The minimum B19301_001 value

  • The mean B19301_001 value

Task 2 (5 points)#

  • Reproject the shapefile to a projected coordinate system (i.e. spatial units are in meters)

  • Make a new column that contains population density (in km2).

  • What is the min, mean, and max population density?

Task 3 (5 points)#

  • Make a choropleth map showing population density

Click to reveal hint

The following guide may be helpful: https://geopandas.org/en/stable/docs/user_guide/mapping.html

  • Make a choropleth map showing household income.

  • Customize both plots so they look more presentable.

Important

Save your notebook locally in both .ipynb and .pdf formats but only submit the pdf to Canvas.