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minimum distance calculation- HIV, HCV, FQHC, MH, Hospital, Pharmacy #324

@adrita13

Description

@adrita13

Summary

  • What data will be added?
    • Answer: HIV, HCV, FQHC, MH, Hospital, Pharmacy
  • What years and geographic units will be added?
    • Answer: 2025, tract
  • Is this a new variable, or one that already exists in the registry? If existing, what is the variable's id?
    • Check here to see all existing variables.
    • Answer: Hivmindis, Hcvmindis, Fqhcmindis, Mhmindis, Hospmindis, Rxmindis

Task completion checklist

  • Create ticket for progress tracking, add the dataset name to the ticket title (this ticket!)
  • Create a new branch that starts with the number of this ticket, and includes the name of the data to be added
    • Example: 244_fqhc_data_update
  • Perform all processing on your source data and added content to all fo the sections below (Da
  • Place any R or Python scripts you create during the process in the /scripts folder (use your new branch)
  • Update the metadata document for your new data (use your new branch)
    • Or, if this new data needs its own metadata document, created one using the metadata template (use your new branch)
  • Update the variables and metadata registry entries in the CMS (use your new branch)
  • Create a new pull request from your new branch into the main branch, and tag @makosak as a reviewer

Data Sources

Remove this text and add the following to this section throughout the course of your work:

  • The source URLs/database of the data that will be processed
  • The years and geography level of the data you will be creating

Processing Notes

Remove this text and add 1-3 images of to this section around these topics:

  • Key variables added
  • Recommended measures to use
  • Potential issues

Data Limitations

Remove this text and add the following to this section throughout the course of your work:

  • Specific comments on missing data in the source content
  • Any other notes on data issues
  • Potential issues

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