data prep lesson and assignement
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@ -39,14 +39,13 @@ Give the exercises in the [notebook](4-Data-Science-Lifecycle\15-analyzing\noteb
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## Review & Self Study
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There are many ways to discover and approach preparing your data for analysis and modeling and cleaning the data is an important step that is a "hands on" experience. Try these challenges from Kaggle to try some of techniques that this lesson didn't cover.
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There are many ways to discover and approach preparing your data for analysis and modeling and cleaning the data is an important step that is a "hands on" experience. Try these challenges from Kaggle to explore techniques that this lesson didn't cover.
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- [Data Cleaning Challenge: Parsing Dates](https://www.kaggle.com/rtatman/data-cleaning-challenge-parsing-dates/)
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- [Data Cleaning Challenge: Scale and Normalize Data](https://www.kaggle.com/rtatman/data-cleaning-challenge-scale-and-normalize-data)
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## Assignment
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[Assignment Title](assignment.md)
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[Evaluating Data from a Form](assignment.md)
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# Title
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# Evaluating Data from a Form
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A client has been testing a [small form](index.html) to gather some basic data about their client-base. They have brought their findings to you to validate the data they have gathered. You can open the `index.html` page in the browser to take a look at the form.
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You have been provided a [dataset of csv records](../../data/form.csv)that contain entries from the form as well as some basic visualizations.The client pointed out that some of the visualizations look incorrect but they're unsure about how to resolve them. You can explore it in the [assignment notebook](assignment.ipynb).
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## Instructions
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Use the techniques in this lesson to make recommendations about the form so it captures accurate and consistent information.
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## Rubric
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Exemplary | Adequate | Needs Improvement
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Entry Form</title>
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</head>
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<body>
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<h1>Please Fill out the Form (* required)</h1>
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*<label>Birth Month</label> <input type="text"> <br>
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<label>State</label> <input type="text"> <br>
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<label for="pets">Dogs or Cats?</label>
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<select name="pets" id="pets">
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<option value="dogs">Dog</option>
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<option value="cats">Cats</option>
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</select> <br>
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<button>Submit</button>
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</body>
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</html>
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![communication](images/communication.jpg)
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> Photo by <a href="https://unsplash.com/@headwayio?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Headway</a> on <a href="https://unsplash.com/s/photos/communication?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
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In these lessons, you'll explore some of the aspects of the Data Science lifeycle, including analysis and communication around data.
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In these lessons, you'll explore some of the aspects of the Data Science lifecycle, including analysis and communication around data.
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### Topics
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1. [Introduction](14-Introduction/README.md)
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2. [Analyzing](15-Analyzing/README.md)
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3. [Communication](https://github.com/microsoft/Data-Science-For-Beginners/tree/main/4-Data-Science-Lifecycle/16-communication)
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3. [Communication](16-communication/README.md)
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### Credits
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These lessons were written with ❤️ by [Jalen McGee](https://twitter.com/JalenMCG)
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These lessons were written with ❤️ by [Jalen McGee](https://twitter.com/JalenMCG) and [Jasmine Greenaway](https://twitter.com/paladique)
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birth_month,state,pet
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January,,Cats
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JAN,CA,Cats
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Sept,Hawaii,Dog
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january,AK,Dog
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July,RI,Cats
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September,California,Cats
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April,CA,Dog
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January,California,Cats
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November,FL,Dog
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December,Florida,Cats
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