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<title>String processing in R</title>
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<div id="header">
<h1 class="title toc-ignore">String processing in R</h1>
<h3 class="subtitle">The package <strong>stringi</strong></h3>
<h4 class="author">Benedict Anderer, Farhan Shaikh, and Saurav Jha</h4>
<h4 class="date">2024-10-25</h4>
</div>
<div id="welcome-to-our-workshop" class="section level1">
<h1>🎉 WELCOME TO OUR WORKSHOP ! 🎉</h1>
<div id="workshop-overview" class="section level3">
<h3>Workshop Overview 📝</h3>
<p><strong>Exercise 1</strong>: Dive into <strong>stringi</strong> for
hands-on experience in string data cleaning and manipulation! In this
exercise, we will explore several core functions of
<strong>stringi</strong> that simplify text processing and extraction.
Specifically, we will focus on the following features:</p>
<ul>
<li><strong>Normalization</strong> ✍️: Standardizing text for
consistency.</li>
<li><strong>Sorting</strong> 📊: Organizing strings in a specified
order.</li>
<li><strong>Joining</strong> 🔗: Concatenating multiple strings
seamlessly.</li>
<li><strong>Formatting</strong> 🎨: Adjusting string representation to
meet specific needs.</li>
<li><strong>Counting</strong> 🔢: Determining the frequency of elements
within strings.</li>
<li><strong>Pattern Searching</strong> 🔍: Finding specific sequences
within the text.</li>
<li><strong>Locating and Extracting Patterns</strong> 📌: Identifying
and retrieving desired segments of text.</li>
<li><strong>Splitting</strong> ✂️: Breaking down strings into manageable
components.</li>
</ul>
<p><strong>Exercise 2</strong>: An interesting exercise where we have
scraped Berlin’s climate data from its wikipedia page and prepared it
for analysis. In this exercise , you’ll see how <strong>stringi</strong>
can be creatively applied for <strong>scraping and cleaning numeric
data</strong> by treating numbers as strings—a powerful trick in data
pre-processing. 🧹 Exercise 2 exist on the Github repository as
additional exercise.</p>
</div>
<div
id="this-workshop-will-show-you-the-versatility-and-power-of-stringi."
class="section level2">
<h2>This workshop will show you the versatility and power of
<strong>stringi</strong>. 💡</h2>
<div id="lets-begin" class="section level3">
<h3>Let’s Begin! 🚀</h3>
</div>
<div id="exercise-1" class="section level3">
<h3>Exercise 1</h3>
<p><strong>Exercise 1.1 </strong>: Scrape political slogans on this
wikipedia page (<a
href="https://en.wikipedia.org/wiki/List_of_political_slogans"
class="uri">https://en.wikipedia.org/wiki/List_of_political_slogans</a>)
along with their descriptions.</p>
<p><strong>Exercise 1.2 </strong>:<strong>Transliteration</strong>-
Convert non-ASCII characters in the slogan to their closest ASCII</p>
<p><strong>Exercise 1.3 </strong>: <strong>Sorting</strong>- Sort these
slogans alphabetically</p>
<p><strong>Exercise 1.4 </strong>:<strong>Joining or
Concatenation</strong>- Create a variable concatenated_slogans of single
character string with each elements separated by “|”</p>
<p><strong>Exercise 1.5 </strong>:<strong>Padding/Formatting</strong>-
Create a variable padded_slogans to right pad each slogans with spaces
so that they all have width of 150 characters.</p>
<p><strong>Exercise 1.6 </strong>:<strong>Case Change</strong>-Change
the case of all the slogans to uppercase</p>
<p><strong>Exercise 1.7 </strong>:<strong>String Counting</strong>-
Count the number of times the word “power” exist in these slogans,
ignore the case.</p>
<p><strong>Exercise 1.8 </strong>:<strong>String detection</strong>-
Extract the slogans that has the word “Power” in it.</p>
<p><strong>Exercise 1.8 </strong>: <strong>Pattern Searching</strong>-
Extract and print the slogans that has the word “Power” or “People” in
it.</p>
<p><strong>Exercise 1.8 </strong>:<strong>String Detection with
Pattern</strong>- Extract and print the slogans that has both the word
“Power” and “People” in it.</p>
<p><strong>Exercise 1.8 </strong>: <strong>Looking behind</strong>- Look
for the slogans where word “Black” precedes the word “Power”</p>
<p><strong>Exercise 1.9 </strong>: <strong>Looking ahead</strong>-Find
the slogans in which the word “to the people” appears after power.</p>
<p><strong>Exercise 1.10 </strong>: <strong>String
trimming</strong>-Trim any specific (either slogan or their description)
part of the slogan.</p>
<p><strong>Exercise 1.11 </strong>:<strong>String split</strong>- Create
a dataframe with two columns- slogans and their description in it</p>
</div>
</div>
</div>
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