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	<title>Data Visualization Archives - Datanovia</title>
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	<description>Data Mining and Statistics for Decision Support</description>
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		<title>Beautiful Radar Chart in R using FMSB and GGPlot Packages</title>
		<link>https://www.datanovia.com/en/blog/beautiful-radar-chart-in-r-using-fmsb-and-ggplot-packages/</link>
					<comments>https://www.datanovia.com/en/blog/beautiful-radar-chart-in-r-using-fmsb-and-ggplot-packages/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 12 Dec 2020 18:10:21 +0000</pubDate>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Circular Plot]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=18279</guid>

					<description><![CDATA[<p>22633&#160;1&#160;1&#160;&#160;18Shares A radar chart, also known as a spider plot is used to visualize the values or scores assigned to an individual over multiple quantitative variables, where each variable corresponds [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/beautiful-radar-chart-in-r-using-fmsb-and-ggplot-packages/">Beautiful Radar Chart in R using FMSB and GGPlot Packages</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/beautiful-radar-chart-in-r-using-fmsb-and-ggplot-packages/feed/</wfw:commentRss>
			<slash:comments>5</slash:comments>
		
		
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		<title>Venn Diagram with R or RStudio: A Million Ways</title>
		<link>https://www.datanovia.com/en/blog/venn-diagram-with-r-or-rstudio-a-million-ways/</link>
					<comments>https://www.datanovia.com/en/blog/venn-diagram-with-r-or-rstudio-a-million-ways/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sun, 22 Nov 2020 16:18:49 +0000</pubDate>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Venn diagram]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=18122</guid>

					<description><![CDATA[<p>243362562&#160;&#160;33Shares This article provides multiple solutions to create an elegant Venn diagram with R or RStudio. The following R packages will be illustrated: ggvenn, ggVenDiagram, VennDiagram and the gplots packages. [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/venn-diagram-with-r-or-rstudio-a-million-ways/">Venn Diagram with R or RStudio: A Million Ways</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/venn-diagram-with-r-or-rstudio-a-million-ways/feed/</wfw:commentRss>
			<slash:comments>2</slash:comments>
		
		
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		<title>Beautiful GGPlot Venn Diagram with R</title>
		<link>https://www.datanovia.com/en/blog/beautiful-ggplot-venn-diagram-with-r/</link>
					<comments>https://www.datanovia.com/en/blog/beautiful-ggplot-venn-diagram-with-r/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 21 Nov 2020 14:00:26 +0000</pubDate>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[ggplot2 extensions]]></category>
		<category><![CDATA[Venn diagram]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=18109</guid>

					<description><![CDATA[<p>&#160;1&#160;11&#160;&#160;&#160;&#160;&#160;&#160;3Shares Introduction This article describes how to create a beautiful ggplot Venn diagram. There are multiple extensions of the ggplot2 R package for creating Venn diagram in R, including the [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/beautiful-ggplot-venn-diagram-with-r/">Beautiful GGPlot Venn Diagram with R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/beautiful-ggplot-venn-diagram-with-r/feed/</wfw:commentRss>
			<slash:comments>1</slash:comments>
		
		
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		<title>GGPLOT: How to Display the Last Value of Each Line as Label</title>
		<link>https://www.datanovia.com/en/blog/ggplot-how-to-display-the-last-value-of-each-line-as-label/</link>
					<comments>https://www.datanovia.com/en/blog/ggplot-how-to-display-the-last-value-of-each-line-as-label/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Thu, 28 May 2020 11:08:19 +0000</pubDate>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[ggplot2 FAQ]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=16541</guid>

					<description><![CDATA[<p>&#160;&#160;&#160;&#160;1&#160;&#160;&#160;&#160;&#160;&#160;1Share This article describes how to display the last value of each line as a label using the ggplot2 R package. Different solutions are provided using either the ggrepel text [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/ggplot-how-to-display-the-last-value-of-each-line-as-label/">GGPLOT: How to Display the Last Value of Each Line as Label</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/ggplot-how-to-display-the-last-value-of-each-line-as-label/feed/</wfw:commentRss>
			<slash:comments>2</slash:comments>
		
		
			</item>
		<item>
		<title>How to Create a Beautiful Interactive Heatmap in R</title>
		<link>https://www.datanovia.com/en/blog/how-to-create-a-beautiful-interactive-heatmap-in-r/</link>
					<comments>https://www.datanovia.com/en/blog/how-to-create-a-beautiful-interactive-heatmap-in-r/#respond</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sun, 19 Apr 2020 10:54:13 +0000</pubDate>
				<category><![CDATA[Cluster Analysis]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Heatmap]]></category>
		<category><![CDATA[Interactive Visualization]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=15817</guid>

					<description><![CDATA[<p>&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; This articles describes how to create and customize an interactive heatmap in R using the heatmaply R package, which is based on the ggplot2 and plotly.js engine. Contents: Prerequisites [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/how-to-create-a-beautiful-interactive-heatmap-in-r/">How to Create a Beautiful Interactive Heatmap in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/how-to-create-a-beautiful-interactive-heatmap-in-r/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Seriation in R: How to Optimally Order Objects in a Data Matrice</title>
		<link>https://www.datanovia.com/en/blog/seriation-in-r-how-to-optimally-order-objects-in-a-data-matrice/</link>
					<comments>https://www.datanovia.com/en/blog/seriation-in-r-how-to-optimally-order-objects-in-a-data-matrice/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 18 Apr 2020 23:18:33 +0000</pubDate>
				<category><![CDATA[Cluster Analysis]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Heatmap]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=15802</guid>

					<description><![CDATA[<p>&#160;2&#160;3&#160;&#160;&#160;1&#160;&#160;&#160;6Shares This article describes seriation methods, which consists of finding a suitable linear order for a set of objects in data using loss or merit functions. There are different seriation [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/seriation-in-r-how-to-optimally-order-objects-in-a-data-matrice/">Seriation in R: How to Optimally Order Objects in a Data Matrice</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/seriation-in-r-how-to-optimally-order-objects-in-a-data-matrice/feed/</wfw:commentRss>
			<slash:comments>4</slash:comments>
		
		
			</item>
		<item>
		<title>How to Normalize and Standardize Data in R for Great Heatmap Visualization</title>
		<link>https://www.datanovia.com/en/blog/how-to-normalize-and-standardize-data-in-r-for-great-heatmap-visualization/</link>
					<comments>https://www.datanovia.com/en/blog/how-to-normalize-and-standardize-data-in-r-for-great-heatmap-visualization/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 18 Apr 2020 13:53:43 +0000</pubDate>
				<category><![CDATA[Cluster Analysis]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Heatmap]]></category>
		<category><![CDATA[Interactive Visualization]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=15791</guid>

					<description><![CDATA[<p>&#160;&#160;&#160;&#160;1&#160;&#160;&#160;&#160;&#160;&#160;1Share Data normalization methods are used to make variables, measured in different scales, have comparable values. This preprocessing steps is important for clustering and heatmap visualization, principal component analysis and [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/how-to-normalize-and-standardize-data-in-r-for-great-heatmap-visualization/">How to Normalize and Standardize Data in R for Great Heatmap Visualization</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/how-to-normalize-and-standardize-data-in-r-for-great-heatmap-visualization/feed/</wfw:commentRss>
			<slash:comments>2</slash:comments>
		
		
			</item>
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		<title>How to Visualize Missing Data in R using a Heatmap</title>
		<link>https://www.datanovia.com/en/blog/how-to-visualize-missing-data-in-r-using-a-heatmap/</link>
					<comments>https://www.datanovia.com/en/blog/how-to-visualize-missing-data-in-r-using-a-heatmap/#respond</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Wed, 15 Apr 2020 06:28:55 +0000</pubDate>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[FAQ]]></category>
		<category><![CDATA[Heatmap]]></category>
		<category><![CDATA[Interactive Visualization]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=15757</guid>

					<description><![CDATA[<p>&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; Missing values are generally represented by NA in a data frame. Here, we will describe how to visualize missing data in R using an interactive heatmap. Contents: Prerequisites Show [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/how-to-visualize-missing-data-in-r-using-a-heatmap/">How to Visualize Missing Data in R using a Heatmap</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/how-to-visualize-missing-data-in-r-using-a-heatmap/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>How to Create a Beautiful Plots in R with Summary Statistics Labels</title>
		<link>https://www.datanovia.com/en/blog/how-to-create-a-beautiful-plots-in-r-with-summary-statistics-labels/</link>
					<comments>https://www.datanovia.com/en/blog/how-to-create-a-beautiful-plots-in-r-with-summary-statistics-labels/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Wed, 01 Apr 2020 21:12:12 +0000</pubDate>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[ggpubr]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=15584</guid>

					<description><![CDATA[<p>&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; You will learn how to create beautiful plots in R and add summary summary statistics table such as sample size (n), median, mean and IQR onto the plot. We [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/how-to-create-a-beautiful-plots-in-r-with-summary-statistics-labels/">How to Create a Beautiful Plots in R with Summary Statistics Labels</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/blog/how-to-create-a-beautiful-plots-in-r-with-summary-statistics-labels/feed/</wfw:commentRss>
			<slash:comments>7</slash:comments>
		
		
			</item>
		<item>
		<title>How to Create a Nice Box and Whisker Plot in R</title>
		<link>https://www.datanovia.com/en/blog/how-to-create-a-nice-box-and-whisker-plot-in-r/</link>
					<comments>https://www.datanovia.com/en/blog/how-to-create-a-nice-box-and-whisker-plot-in-r/#respond</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Wed, 01 Apr 2020 20:36:51 +0000</pubDate>
				<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[FAQ]]></category>
		<category><![CDATA[ggpubr]]></category>
		<guid isPermaLink="false">https://www.datanovia.com/en/?p=15574</guid>

					<description><![CDATA[<p>&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; R codes are provided for creating a nice box and whisker plot in R with summary table under the plot. # Load required R packages library(ggpubr) # Data preparation [&#8230;]</p>
<p>The post <a href="https://www.datanovia.com/en/blog/how-to-create-a-nice-box-and-whisker-plot-in-r/">How to Create a Nice Box and Whisker Plot in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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