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    <event>
        <id>4180779</id>
        <event_id>1136741</event_id>
        <eventinstance_id>4180779</eventinstance_id>
		<calendar>
			<id>1873</id>
			<title>UCF Research Computing &amp; Data Workshops</title>
			<slug>ucf-research-computing-data-workshops</slug>
			<url>https://events.ucf.edu/calendar/1873/ucf-research-computing-data-workshops/</url>
		</calendar>
		<title>Data Cleaning and Preprocessing using R</title>
		<subtitle></subtitle>
		<start_date>Wed, 30 Sep 2026 14:00:00 -0400</start_date>
		<end_date>Wed, 30 Sep 2026 16:00:00 -0400</end_date>
		<location>R1:101</location>
		<room>Research 1, Room 101</room>
		<virtual_url></virtual_url>

		<address>
			<building></building>
			<city></city>
			<zipcode></zipcode>
			<state></state>
			<country>
				<id xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonAggregateComponents-1.0" codeListID="ISO3166-1" codeListAgencyID="6" codeListAgencyName="United Nations Economic Commission for Europe" codeListName="country" codeListVersionID="0.3" languageID="en" codeListURI="http://www.iso.org/iso/en/prods-services/iso3166ma/02iso-3166-code-lists/list-en1-semic.txt" codeListSchemeURI="urn:oasis:names:specification:ubl:schema:xsd:countryIdentificationCode-1.0">US</id>
				<name xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-1.0">United States</name>
			</country>
		</address>

		<location_info>
			<location_type></location_type>
			<location_hours></location_hours>
			<location_phone></location_phone>
			<location_website><![CDATA[https://www.ucf.edu/location/research-1/]]>
</location_website>
			<directions></directions>
			<map_link></map_link>
			<additional_public_info></additional_public_info>
		</location_info>

		<languages>
			<language>en-US</language>
		</languages>
		<event_transparency></event_transparency>

		<description><![CDATA[<p>Learn basic programming in R through practical data pre-processing tasks. Participants will learn how to use R to import, inspect, clean, transform, summarize, reshape, and export messy datasets. The session will include guided demonstrations and hands-on exercises where attendees practice writing R code using common tools and packages.&nbsp;</p>
<p>Learning outcomes:</p>
<p>- Introduction to R&nbsp;<br>- Importing and inspecting data&nbsp;<br>- Cleaning column names and fixing data types&nbsp;<br>- Filtering, selecting, mutating, and summarizing data with dplyr&nbsp;<br>- Handling missing values, duplicates, and inconsistent categories&nbsp;<br>- Reshaping data with tidyr&nbsp;<br>- Exporting cleaned data for analysis</p>
<p>Prerequisites to participate in the hands-on exercises during the session: &nbsp;<br>1. You will need to bring your own laptop<br>2. Install R from https://cloud.r-project.org/<br>3. Install RStudio from: https://docs.posit.co/ide/user/#rstudio-ide-oss-downloads<br>4. For help with installation of R or RStudio drop in at virtual office hours using the link: https://rci.research.ucf.edu/resource/virtual-office-hours/</p>
<p></p>
<p>Presented by<span>&nbsp;</span><a href="https://www.linkedin.com/in/satyarforoughi/" target="_blank">Satyar Foroughi</a></p>]]></description>
		<short_description></short_description>

		<refreshments></refreshments>
		<webpages>
			<webpage>
				<title>Event Instance url</title>
				<url>https://events.ucf.edu/event/4180779/data-cleaning-and-preprocessing-using-r/</url>
			</webpage>
		</webpages>

		<contact_person>Office of Research Cyberinfrastructure</contact_person>
		<contact_email>ResearchIT@ucf.edu</contact_email>
		<contact_phone></contact_phone>

		<category>Workshop/Conference</category>
		<tags>
			<tag>r programming</tag><tag>Data Processing</tag><tag>research computing</tag>
		</tags>
		<registration_link><![CDATA[https://ucf.qualtrics.com/jfe/form/SV_bILTFDYAZtB1hem]]></registration_link>
		<registration_info></registration_info>

		<status>Happening As Scheduled</status>
		<classification>Public</classification>
	</event>

</events>

