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		<title>Getting started with R and RStudio</title>
		<link>https://gerinberg.com/downloads/getting-started-r-rstudio/</link>
		
		<dc:creator><![CDATA[Ger]]></dc:creator>
		<pubDate>Tue, 03 Oct 2017 16:07:17 +0000</pubDate>
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					<description><![CDATA[<p>R is one of the most used languages for data analysis, visualization and machine learning. In this 2 hour workshop I will guide you through the installation and setup of R. Next to this we are going to load a dataset, apply some basic statistics [&#8230;]</p>
<p>The post <a href="https://gerinberg.com/downloads/getting-started-r-rstudio/">Getting started with R and RStudio</a> appeared first on <a href="https://gerinberg.com">Ger Inberg</a>.</p>
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										<content:encoded><![CDATA[<p>R is one of the most used languages for data analysis, visualization and machine learning. In this 2 hour workshop I will guide you through the installation and setup of R. Next to this we are going to load a dataset, apply some basic statistics on it and make a couple of interesting visualizations from it.  Of course, you can ask me all your questions about R during the workshop. After this you will be ready to handle your own data in R!</p>
<p>The post <a href="https://gerinberg.com/downloads/getting-started-r-rstudio/">Getting started with R and RStudio</a> appeared first on <a href="https://gerinberg.com">Ger Inberg</a>.</p>
]]></content:encoded>
					
		
		
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		<title>Data Visualization with R shiny</title>
		<link>https://gerinberg.com/downloads/data-visualization-r-shiny/</link>
		
		<dc:creator><![CDATA[Ger]]></dc:creator>
		<pubDate>Mon, 02 Oct 2017 15:03:21 +0000</pubDate>
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					<description><![CDATA[<p>The shiny package in R is a powerful tool for interactive data visualization. In this 2 hour workshop I will teach the basics, how to use shiny and how to create and deploy your first application! &#160; Scheduled workshops: Friday February 12, 2 PM CET [&#8230;]</p>
<p>The post <a href="https://gerinberg.com/downloads/data-visualization-r-shiny/">Data Visualization with R shiny</a> appeared first on <a href="https://gerinberg.com">Ger Inberg</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The shiny package in R is a powerful tool for interactive data visualization. In this 2 hour workshop I will teach the basics, how to use shiny and how to create and deploy your first application!</p>
<p>&nbsp;</p>
<p>Scheduled workshops:</p>
<ul>
<li>Friday February 12, 2 PM CET</li>
<li>Friday February 19, 2 PM CET</li>
</ul>
<p>The post <a href="https://gerinberg.com/downloads/data-visualization-r-shiny/">Data Visualization with R shiny</a> appeared first on <a href="https://gerinberg.com">Ger Inberg</a>.</p>
]]></content:encoded>
					
		
		
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		<title>Create an API in R</title>
		<link>https://gerinberg.com/downloads/create-an-api-in-r/</link>
		
		<dc:creator><![CDATA[Ger]]></dc:creator>
		<pubDate>Wed, 10 Feb 2016 10:02:36 +0000</pubDate>
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					<description><![CDATA[<p>Interesting data sets are the fuel of a good data science project. And while websites like Kaggle offer free data sets, APIs are another very common way to access and acquire interesting data. Instead of having to download a data set, an Application Programming Interface [&#8230;]</p>
<p>The post <a href="https://gerinberg.com/downloads/create-an-api-in-r/">Create an API in R</a> appeared first on <a href="https://gerinberg.com">Ger Inberg</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p data-line-end="3" data-line-start="2">Interesting data sets are the fuel of a good data science project. And while websites like Kaggle offer free data sets, APIs are another very common way to access and acquire interesting data.</p>
<p data-line-end="3" data-line-start="2">Instead of having to download a data set, an Application Programming Interface (API) allows programmers to request data directly from certain websites. Many large websites like Twitter and Facebook offer APIs so that data scientists can access interesting data.</p>
<p data-line-end="3" data-line-start="2">In this workshop, we&#8217;re going to create an API using R with the plumber package. Next to this, you will learn how to call the API and how to document it. You don&#8217;t need any API experience, but you will need to be familiar with the fundamentals of R to follow along.</p>
<p data-line-end="3" data-line-start="2">If you&#8217;re not confident in your R abilities yet, you can check out my workshop <a href="https://gerinberg.com/downloads/getting-started-r-rstudio/">getting started with R</a></p>
<p>The post <a href="https://gerinberg.com/downloads/create-an-api-in-r/">Create an API in R</a> appeared first on <a href="https://gerinberg.com">Ger Inberg</a>.</p>
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