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‎content/read/httr.md

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---
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title: "REST APIs and web queries"
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---
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## Watch
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**[Working with Web Data in R](https://www.datacamp.com/courses/working-with-web-data-in-r)**

‎content/read/purrr-1.md

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---
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title: "Iterate using purrr"
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---
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## Watch
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**[Chapters 3 & 4 of Writing Functions in R](https://www.datacamp.com/courses/writing-functions-in-r)**. Theste two chapters are focused on `purrr` and it's use in iteration, particulaly the `map()` family. It may seem surprising that these tools for *iteration* are buried in the second half of a course on *writing functions*, but as you will see, these concepts are closely linked through a style known as functional programming, which is particularly relevant to much data science type analyses.
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## Reading
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- [R4DS 21.5: The map functions](http://r4ds.had.co.nz/iteration.html#the-map-functions)
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- [R4DS 21.6: Dealing with failure](http://r4ds.had.co.nz/iteration.html#dealing-with-failure)
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- [R4DS 21.7: Mapping over multiple arguments](http://r4ds.had.co.nz/iteration.html#mapping-over-multiple-arguments)

‎content/read/strings-regex.md

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---
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title: "Strings and regex"
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---
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## Watch
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**[String Manipulation in R](https://www.datacamp.com/courses/string-manipulation-in-r-with-stringr)**
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## Reading
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- Read the opening sections of chapter 13 on *Strings* and working with *Regular Expressions*: Sections **[14.1 - 14.3](http://r4ds.had.co.nz/strings.html#matching-patterns-with-regular-expressions)**.
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## References
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‎data/lessons.yml

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date: "2018-04-05"
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datatype: '<i class="material-icons">widgets</i>'
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topics: "REST APIs"
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watch: "read/httr"
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- module: " <i class='material-icons'>trending_down</i>"
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date: "2018-04-10"
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datatype: '<i class="material-icons">widgets</i>'
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topics: "Regular Expressions"
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reading: "read/strings-regex"
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watch: "read/strings-regex"
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- module: "<i class='material-icons'>trending_down</i>"
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date: "2018-04-12"
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datatype: '<i class="material-icons">widgets</i>'
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topics: "Data rectangling"
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reading: "read/purrr-1"
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watch: "read/purrr-1"
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- module: "<i class='material-icons'>trending_down</i>"
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date: "2018-04-17"
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datatype: '<i class="material-icons">widgets</i>'
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topics: "Data rectangling"
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read: ""
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- module: " "
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date: " "

‎docs/index.xml

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<description> Watch Tidyverse Chapter 3: Grouping and Summarizing (David Robinson) Read group_by, summarize and friends [r4ds-5.6 - 5.7] </description>
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</item>
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<title>Iterate using purrr</title>
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<link>/read/purrr-1/</link>
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<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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<guid>/read/purrr-1/</guid>
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<description>Watch Chapters 3 &amp;amp; 4 of Writing Functions in R. Theste two chapters are focused on purrr and it&amp;rsquo;s use in iteration, particulaly the map() family. It may seem surprising that these tools for iteration are buried in the second half of a course on writing functions, but as you will see, these concepts are closely linked through a style known as functional programming, which is particularly relevant to much data science type analyses.</description>
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</item>
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<title>Iteration</title>
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<link>/read/iteration/</link>
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Read Introduction [r4ds-27.</description>
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</item>
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<title>REST APIs and web queries</title>
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<link>/read/httr/</link>
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<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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<guid>/read/httr/</guid>
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<description>Watch Working with Web Data in R</description>
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</item>
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<title>Reading for 2017-09-21</title>
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<link>/read/workflows/</link>
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</description>
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</item>
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<title>Strings and regex</title>
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<link>/read/strings-regex/</link>
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<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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<guid>/read/strings-regex/</guid>
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<description> Watch String Manipulation in R
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Reading Read the opening sections of chapter 13 on Strings and working with Regular Expressions: Sections 14.1 - 14.3. References </description>
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</item>
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<title>Tools</title>
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<link>/tools/</link>

‎docs/read/httr/index.html

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<!doctype html>
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<h2 class="title">REST APIs and web queries</h2>
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<h2 id="watch">Watch</h2>
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<p><strong><a href="https://www.datacamp.com/courses/working-with-web-data-in-r">Working with Web Data in R</a></strong></p>
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‎docs/read/index.xml

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<description> Watch Tidyverse Chapter 3: Grouping and Summarizing (David Robinson) Read group_by, summarize and friends [r4ds-5.6 - 5.7] </description>
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<title>Iterate using purrr</title>
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<link>/read/purrr-1/</link>
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<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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<guid>/read/purrr-1/</guid>
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<description>Watch Chapters 3 &amp;amp; 4 of Writing Functions in R. Theste two chapters are focused on purrr and it&amp;rsquo;s use in iteration, particulaly the map() family. It may seem surprising that these tools for iteration are buried in the second half of a course on writing functions, but as you will see, these concepts are closely linked through a style known as functional programming, which is particularly relevant to much data science type analyses.</description>
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<title>Iteration</title>
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<link>/read/iteration/</link>
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Read Introduction [r4ds-27.</description>
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<title>REST APIs and web queries</title>
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<link>/read/httr/</link>
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<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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<guid>/read/httr/</guid>
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<description>Watch Working with Web Data in R</description>
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<title>Reading for 2017-09-21</title>
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<link>/read/workflows/</link>
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<title>Strings and regex</title>
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<link>/read/strings-regex/</link>
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<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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<guid>/read/strings-regex/</guid>
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<description> Watch String Manipulation in R
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Reading Read the opening sections of chapter 13 on Strings and working with Regular Expressions: Sections 14.1 - 14.3. References </description>
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