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Start with the DC DOH Food Service Establishment Inspection report data in the /Data Sets/Restaurant Inspections/ folder in Dropbox.
Develop a script to extract the number of overdue restaurant inspections. Food establishments are categorized by Risk Category from 1-5, and this determines the frequency at which inspections should be conducted. More details can be found here
Note that this issue depends upon the geocoding results from Issue #13
Input:
CSV files with inspection summary and violation details
Output:
A CSV file with
1 row for each establishment type and risk category, and each week, year, and census block
The following columns:
feature_id: The ID for the feature, in this case, "restaurant_inspections_overdue" feature_type: The establishment_type from the restaurant data set feature_subtype: The risk_category from 1-5 year: The ISO-8601 year of the feature value week: The ISO-8601 week number of the feature value census_block_2010: The 2010 Census Block of the feature value value: The value of the feature, i.e. the number of inspections that are overdue for establishments with the given types and risk categories in the specified week, year, and census block.
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!
The text was updated successfully, but these errors were encountered:
Start with the DC DOH Food Service Establishment Inspection report data in the
/Data Sets/Restaurant Inspections/
folder in Dropbox.Develop a script to extract the number of overdue restaurant inspections. Food establishments are categorized by Risk Category from 1-5, and this determines the frequency at which inspections should be conducted. More details can be found here
Note that this issue depends upon the geocoding results from Issue #13
Input:
CSV files with inspection summary and violation details
Output:
A CSV file with
feature_id
: The ID for the feature, in this case, "restaurant_inspections_overdue"feature_type
: Theestablishment_type
from the restaurant data setfeature_subtype
: Therisk_category
from1
-5
year
: The ISO-8601 year of the feature valueweek
: The ISO-8601 week number of the feature valuecensus_block_2010
: The 2010 Census Block of the feature valuevalue
: The value of the feature, i.e. the number of inspections that are overdue for establishments with the given types and risk categories in the specified week, year, and census block.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!
The text was updated successfully, but these errors were encountered: