Start with the Population data in the /Data Sets/Population by Census Block/ folder in Dropbox.
Write a script that cleans and aggregates this data to produce feature data tables for population at the census block, ANC, and ward levels.
For reference, you can read about the GEOID field here.
You can find examples on the Feature Dataset Format tab in this document
Note that this issue depends upon the spatial crosswalk from Issue #23
Input:
CSV files with data for each given year and spatial scale (census block, ANC, and ward)
Output:
A CSV file with
-1 row for each feature id, year, and spatial unit
-The census block dataset should include the following columns:
feature_id: The ID for the feature, in this case, "population"feature_type: Leave blank
feature_subtype: Leave blank
year: The ISO-8601 year of the feature value
week: Leave blank
census_block_2010: The 2010 Census Block of the feature value
value: The value of the feature, i.e. population
For the ANC and ward datasets, replace the census_block_2010 column with anc_2013 or ward_2012
When you are finished
Submit a pull request on GitHub (or upload your scripts)
Upload any files to Dropbox
Need more information?
Flag Jason or Elizabeth, or ask your question in the comments below and we'll respond as soon as we can!
Start with the Population data in the
/Data Sets/Population by Census Block/
folder in Dropbox.Write a script that cleans and aggregates this data to produce feature data tables for population at the census block, ANC, and ward levels.
For reference, you can read about the
GEOID
field here.You can find examples on the
Feature Dataset Format
tab in this documentNote that this issue depends upon the spatial crosswalk from Issue #23
Input: CSV files with data for each given year and spatial scale (census block, ANC, and ward)
Output: A CSV file with
-1 row for each feature id, year, and spatial unit -The census block dataset should include the following columns:
feature_id
: The ID for the feature, in this case,"population"
feature_type
: Leave blankfeature_subtype
: Leave blankyear
: The ISO-8601 year of the feature valueweek
: Leave blankcensus_block_2010
: The 2010 Census Block of the feature valuevalue
: The value of the feature, i.e. populationcensus_block_2010
column withanc_2013
orward_2012
When you are finished Submit a pull request on GitHub (or upload your scripts) Upload any files to Dropbox
Need more information? Flag Jason or Elizabeth, or ask your question in the comments below and we'll respond as soon as we can!