- Download the required data sets:
- From https://www.cdc.gov/cancer/uscs/dataviz/download_data.htm select 1999-2018 data set. This should be at the top of the list.
- From https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html select the "Counties" shape file marked 1:20,000,000 scale. This is a little over halfway down the page and should be marked as < 1.0 MB.
- Extract these data sets.
- You must install Altair and altair_viewer as well as geopandas if it is not currently installed.
- Before running, adjust the path variables in analyze.py to reflect the location of the
data sets. Specifically, the variables are:
- AREA_DATA_PATH: points to the cancer data table titled "byarea.txt"
- SITE_DATA_PATH: points to the cancer data tables titled "bysite.txt"
- COUNTY_DATA_PATH: points to the cancer data table titled "byarea_county.txt"
- SHP_DATA_PATH: points to the cb_2020_us_county_20m.shp. NOTE: the other files from the census data zip must be in the same directory as the shape file!
- Run analyze.py.
- Observe the resulting html files in a web browser. Ensure that javascript is not blocked on your browser.
- Please refer to
CSE163-ProjectReportfor introduction, background, methodology, and solution, etc. about this project.