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‎index.html

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Improving modeling decisions using Baye's rule
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<ul>
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<li>Reading: <a href="https://docs.google.com/document/d/1JVacsJzMCG4tp0TTnEGV8Mb8vcc2vgS9z_EQzj9B0sU/edit?usp=sharing" target="_blank">Inferring probability distributions from data</a></li>
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<li>Slides: <a href="https://docs.google.com/a/uw.edu/presentation/d/1_5fLuWt29mOR9ZQ9O_aDoOIgEzcaWONjwn4eVauo1_s/edit?usp=sharing" target="_blank">Bayesian Inference in R</a></li>
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</ul>
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Assigned: <a href="homeworks/bayesian.html">Homework 3</a>. Due Tues 10/17.
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Bayesian Inference in Action, Data cleaning process
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<ul>
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<li>Reading: (None)</li>
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<!-- <li>Activity (80 min): <a href="activities/rank-qualities.html">Rank qualities</a></li> -->
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<li>Slides: <a href="https://docs.google.com/a/uw.edu/presentation/d/15QseWnGUQg6WA3TdyrcH3DGuqY-x_SVcHxKwWYew844/edit?usp=sharing" target="_blank">More on Bayesian Inference</a></li>
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<li>Slides: <a href="https://docs.google.com/a/uw.edu/presentation/d/1Zpzizr2Qc45umPAw81XQdcwO675YiCSa8ccnB4SuwU4/edit?usp=sharing" target="_blank">Data Cleaning</a></li>
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</ul>
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Applying data cleaning process using Wrangler
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<!-- <li>Activity (50 min): <a href="activities/complexity.html">Great engineers are facile with complexity</a></li> -->
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<li>Activity: <a href="labs/data-cleaning.html">Data cleaning with Wrangler</a></li>
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</ul>
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‎labs/data-cleaning.html

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<!DOCTYPE html>
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<html>
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<head>
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<!-- Latest compiled and minified CSS -->
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
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<!-- Optional theme -->
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css" integrity="sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp" crossorigin="anonymous">
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<!-- Latest compiled and minified JavaScript -->
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<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
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<link rel="stylesheet" href="../style.css" />
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<title>Data Cleaning</title>
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</head>
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<body>
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<p><a href="../index.html">Back to Homepage</a></p>
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<!-- UPDATE -->
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<img src="../images/bricks.jpg" class="img-responsive" />
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<small>Credit: Takeshi Hirano</small>
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<!-- UPDATE -->
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<h1>Data Cleaning with Wrangler</h1>
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<div class="lead">Benji Xie & Greg Nelson</div>
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<p>Today you're going to practice using Trifacta Wrangler to clean some data.</p>
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<h2>Download Wrangler, Data</h2>
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<p>Wrangler is free to download: <a href="https://www.trifacta.com/products/wrangler/" target="_blank">Wrangler download page</a></p>
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<h2>Transform obituary data from disease simulation</h2>
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<p>Do the following:</p>
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<ol>
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<li>Export the <a href="https://goo.gl/GKxUB7", target="_blank">obituary data</a> from the Google Sheets (as CSV).</li>
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<li>Import the data into Wrangler</li>
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<li>Start transforming the data!</li>
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</ol>
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<p>Tips for data cleaning with Wrangler:</p>
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<ul>
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<li>Try highlighting some part of the data. Wrangler is pretty good at recommending some "recipes" based on what you highlighted and you can modify the recommendations if necessary.</li>
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<li>Split up the problem into sub-steps. Break up a problem so 1 step is done in 1 column and another step is done in another column and then combine the 2 new columns.</li>
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<li>Consult documentation. Trifacta has great <a href="https://docs.trifacta.com/display/PE/Workflow+Basics" target="_blank">documenation</a>
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and <a href="https://www.trifacta.com/support/articles/topics/125211-online-training/" target="_blank">online training</a> to teach you how to use Wrangler.</li>
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</ul>
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<p>Be sure to clean your data with a purpose and goal in mind!</p>
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</body>
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</html>

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