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Asatsuyu / INFM600_KeenKoalas

Keen Koalas Team Project - PDP Residue Data
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Data Cleaning & Documentation #2

Open Asatsuyu opened 8 years ago

Asatsuyu commented 8 years ago

Due week 10

Dr. Wiggins's instructions from the syllabus (with key pts in bold):

Your data cleaning and documentation draft will be part of your final project repository; this is due by Week 10 to help provide early feedback. Take advantage of the opportunity by submitting as complete a document as you can muster! If you are integrating multiple data sources, provide (shorter) background details for each data set. At a minimum, the documentation must include:

  1. 1-2 paragraph text description of the data source/s (how much, where from, what it contains, etc.) with a properly formatted citation for each data source.
  2. Specifically identify any intellectual policy constraints, or lack thereof (licensing).
  3. 1 paragraph description of the metadata: what information is available to help you interpret and understand the data?
  4. Identify any issues you have encountered with the data: missing values, unstandardized con- tent, entity matching, etc.
  5. 1 paragraph description of your rationale for the steps you're taking to remediate data. For example, if you need to fill in empty fields, specify what value you chose and why.
  6. A script or step-by-step textual description (or a combination) that documents your data cleaning process with enough detail for replication.

This deliverable supports timely feedback for work-in-progress. Since most of you will use data that is much "cleaner" than you would normally encounter in the wild, incomplete data processing documents are acceptable only if you can clearly identify the barriers (or series of barriers) to completion, which will help us help you troubleshoot. Any issues highlighted by instructor feed- back should be carefully attended to for your final project data processing documentation. This document can take several forms (R script, Markdown, word processing), so choose the best one for your project needs and submit the URL on Canvas.