<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sun, 12 Apr 2026 23:38:50 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/rprogramming/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Density Plot Tutorial in R]]></title><description><![CDATA[Hey everyone, I wanted to share this density plot tutorial that I recently created. I also provided sample code that you can use to follow along with or to modify if you want to change the colors or labels.]]></description><link>http://direct.ecency.com/hive-163521/@algoswithamber/density-plot-tutorial-in-r</link><guid isPermaLink="true">http://direct.ecency.com/hive-163521/@algoswithamber/density-plot-tutorial-in-r</guid><category><![CDATA[hive-163521]]></category><dc:creator><![CDATA[algoswithamber]]></dc:creator><pubDate>Mon, 13 Oct 2025 19:37:15 GMT</pubDate></item><item><title><![CDATA[Automatically Generate Residual Diagnostic Plots in R - OLSRR package!]]></title><description><![CDATA[Hey everyone, and welcome back. In today's video, I'm going to show you an absolutely fantastic package in the R programming language that can make generating residual diagnostic plots an absolute breeze.]]></description><link>http://direct.ecency.com/hive-163521/@algoswithamber/automatically-generate-residual-diagnostic-plots-in-r-olsrr-package</link><guid isPermaLink="true">http://direct.ecency.com/hive-163521/@algoswithamber/automatically-generate-residual-diagnostic-plots-in-r-olsrr-package</guid><category><![CDATA[hive-163521]]></category><dc:creator><![CDATA[algoswithamber]]></dc:creator><pubDate>Sun, 24 Aug 2025 17:06:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/BgxWBRxjvNho1d5owNvLc9kLkZETgqoQLu9zcBbNBbDDEp9W4DbuZJuYyeLgMLzQcApXz648tj664ZhqSWGYvLrKxQD3tZwjWgmsxY7WQYvu8FtiPwU9jPTQdsx5hbHEfUUFho7QqkgXzeccDrfUa3YBFqoqXLM6qPVq5q7CVcWp7mG?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Advanced Pie Chart Customization in R - ggplot Tutorial 12]]></title><description><![CDATA[Hey everyone, and welcome back. In today's video, we're going to be doing some advanced pie chart customization. In a previous post, I showed you how to make a basic pie chart. But in today's video, we're]]></description><link>http://direct.ecency.com/hive-163521/@algoswithamber/advanced-pie-chart-customization-in-r-ggplot-tutorial-12</link><guid isPermaLink="true">http://direct.ecency.com/hive-163521/@algoswithamber/advanced-pie-chart-customization-in-r-ggplot-tutorial-12</guid><category><![CDATA[hive-163521]]></category><dc:creator><![CDATA[algoswithamber]]></dc:creator><pubDate>Thu, 14 Aug 2025 19:57:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/BgxWBRxjvNho1d5owNvLc9kLkZETgqoQLu9zcBbNBbDDEp9W4DbuZJuYyeLgMLzQcApXz648tj664aM56sz4j2LUtX7GkapQ6HSvbn5qp5oMpS9HjyRiSML7opQCGKzsQfZhhnsAs3hsvhkMVoK75Wr8vkmKrJkyG29fJZgoW6uWV6n?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Customizing Box Plot Panel Background - ggplot Tutorial 10]]></title><description><![CDATA[Hey everyone, and welcome back to the final tutorial in the series on customizing box plots using the R programming language. So far we have learned how to create a basic box plot, adjust the box plot]]></description><link>http://direct.ecency.com/hive-163521/@algoswithamber/customizing-box-plot-panel-background-ggplot-tutorial-10</link><guid isPermaLink="true">http://direct.ecency.com/hive-163521/@algoswithamber/customizing-box-plot-panel-background-ggplot-tutorial-10</guid><category><![CDATA[hive-163521]]></category><dc:creator><![CDATA[algoswithamber]]></dc:creator><pubDate>Tue, 12 Aug 2025 17:35:21 GMT</pubDate><enclosure url="https://images.ecency.com/p/BgxWBRxjvNho1d5owNvLc9kLkZETgqoQLu9zcBbNBbDDEp9W4DbuZJuYyeLgMLzQcApXz648tj664Zhs7SzNg9rJa2oFMahu24WadMGAhw6HGEoLZjH9HwEVonvvJ7JW5r94rUEuJ7ikQ9F41vRxjerh4yh14XR2hfVK2h6eXnBssft?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Adding Custom Labels on Box Plots - ggplot Tutorial 9]]></title><description><![CDATA[Suppose you just created a beautiful box plot in the R programming language, but now you want to add the mean, the median, or some other statistic to each of your box plots. How do you do it? This post]]></description><link>http://direct.ecency.com/hive-163521/@algoswithamber/adding-custom-labels-on-box-plots-ggplot-tutorial-9</link><guid isPermaLink="true">http://direct.ecency.com/hive-163521/@algoswithamber/adding-custom-labels-on-box-plots-ggplot-tutorial-9</guid><category><![CDATA[hive-163521]]></category><dc:creator><![CDATA[algoswithamber]]></dc:creator><pubDate>Mon, 11 Aug 2025 19:30:06 GMT</pubDate><enclosure url="https://images.ecency.com/p/BgxWBRxjvNho1d5owNvLc9kLkZETgqoQLu9zcBbNBbDDEp9W4DbuZJuYyeLgMLzQcApXz648tj664ZhrffSWNzCc3wZJfSDEQqTUsFM9zgeSnF7okhJa6cyzEr8YnQbQ4x5Ee34zyQ3jFfZ75yehjPsyBeZ2c5WduxyhXhxwYPnC2Ar?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[R-Programming Tutorial : Labels, Titles, and Subtitles with ggplot2]]></title><description><![CDATA[Maybe you've heard the saying that a picture is worth a thousand words, but guess what? Words themselves are pretty important also! Especially when it comes to visualizing data, putting labels on your]]></description><link>http://direct.ecency.com/hive-125125/@algoswithamber/r-programming-tutorial--labels-titles-and-subtitles-with-ggplot2</link><guid isPermaLink="true">http://direct.ecency.com/hive-125125/@algoswithamber/r-programming-tutorial--labels-titles-and-subtitles-with-ggplot2</guid><category><![CDATA[hive-125125]]></category><dc:creator><![CDATA[algoswithamber]]></dc:creator><pubDate>Fri, 25 Jul 2025 19:35:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/BgxWBRxjvNho1d5owNvLc9kLkZETgqoQLu9zcBbNBbDDEp9W4DbuZJuYyeLgMLzQcApXz648tj664Zi3AmoytQgkwySZg96h362mFuiRzgPcRKC9s2y2fj2Fd4gSNVTqxP933QhYsFVbc2FZeQgLy7X3Hmkc5cCQP8jbMJxuNNa34Yv?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Introduction to Clustering with R-Studio on IoT vibration accelerometer sensor data]]></title><description><![CDATA[▶️ DTube ▶️ IPFS]]></description><link>http://direct.ecency.com/machinelearning/@romeokienzler/wuavr9o9</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@romeokienzler/wuavr9o9</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[romeokienzler]]></dc:creator><pubDate>Thu, 05 Apr 2018 14:01:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCMDSaz8nZ5XacZ4r6aBiWHMntLGr4z1mNM4C8ayE6YNif1y4XLYH1wwz8KBtDq?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[The rise of antibiotic resistance rates in Escherichia coli  in Europe]]></title><description><![CDATA[I have always been fasciated with using animated graphs to visualise data. It is an attractive way to add another dimension, usually time, to the plot. Animated choropleth map is an effective and only]]></description><link>http://direct.ecency.com/dataviz/@pmduy/the-rise-of-antibiotic-resistance-rates-in-escherichia-coli-in-europe</link><guid isPermaLink="true">http://direct.ecency.com/dataviz/@pmduy/the-rise-of-antibiotic-resistance-rates-in-escherichia-coli-in-europe</guid><category><![CDATA[dataviz]]></category><dc:creator><![CDATA[pmduy]]></dc:creator><pubDate>Thu, 15 Mar 2018 15:05:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/HuuaCwcKuiEnqrL2G7HrnUHK6D5Tt41QVGg7aPsrVAriPu4UDN3ePdz8JtZmrLb6ptu?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Data visualization in R | Edureka]]></title><link>http://direct.ecency.com/dataviz/@datatreemap/data-visualization-in-r-or-edureka</link><guid isPermaLink="true">http://direct.ecency.com/dataviz/@datatreemap/data-visualization-in-r-or-edureka</guid><category><![CDATA[dataviz]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Thu, 25 Jan 2018 13:51:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45duQjCwWbfBjQ4peLeR2zFKwsGbb5GPy6Bhg?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Beginning Data Visualization with R]]></title><description><![CDATA[R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data]]></description><link>http://direct.ecency.com/dataviz/@datatreemap/beginning-data-visualization-with-r</link><guid isPermaLink="true">http://direct.ecency.com/dataviz/@datatreemap/beginning-data-visualization-with-r</guid><category><![CDATA[dataviz]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Thu, 25 Jan 2018 11:00:45 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e6LhwFmiKP4uoB51BvHzYDA9QgRNAoWdurE?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Introduction to Data Visualization with R and ggplot2]]></title><description><![CDATA[R programming and in particular RStudio is a great tool for data processing and statistical analysis. However the data visualization part is what R is best to. Its ggplot2 package can make very beautiful]]></description><link>http://direct.ecency.com/visualization/@datatreemap/introduction-to-data-visualization-with-r-and-ggplot2</link><guid isPermaLink="true">http://direct.ecency.com/visualization/@datatreemap/introduction-to-data-visualization-with-r-and-ggplot2</guid><category><![CDATA[visualization]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Thu, 16 Nov 2017 07:52:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45dvzBaFVHXTM1CUfJPQKSMUo989JvLgtjiQE?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to visualize a multiple lines diagram in R]]></title><description><![CDATA[A line diagram is useful for visualizing how a certain continous variable changes in time. If you have many variables and you want to compare them then a multiple lines diagram is waht you are lookin for]]></description><link>http://direct.ecency.com/rprogramming/@datatreemap/how-to-visualize-a-multiple-lines-diagram-in-r</link><guid isPermaLink="true">http://direct.ecency.com/rprogramming/@datatreemap/how-to-visualize-a-multiple-lines-diagram-in-r</guid><category><![CDATA[rprogramming]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Sat, 14 Oct 2017 17:37:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/LcTxR7u1XKae8Zaj594qUJafNyNSBw9svATPAkZ7fiUbEGQrSAJmQTCdHEDYQNVYWR5KyKH6zjvRbH2yNk77SoxSmT9uqevJZMg718Uu2zLBcvQXuCSqM7jgjiLWRgMKrooAYKsqnD5Vei1xzg5w1yXAe?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Some useful R packages divided by task]]></title><description><![CDATA[There are many packages in R. On the one hand, it is difficult to orient yourself among all those packages. On the other, it is impossible that you can learn how to use all of them. So it becomes handy]]></description><link>http://direct.ecency.com/rprogramming/@datatreemap/some-useful-r-packages-divided-by-task</link><guid isPermaLink="true">http://direct.ecency.com/rprogramming/@datatreemap/some-useful-r-packages-divided-by-task</guid><category><![CDATA[rprogramming]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Fri, 13 Oct 2017 07:27:42 GMT</pubDate></item><item><title><![CDATA[How to make a heatmap in R using the cars built-in dataset]]></title><description><![CDATA[This guide shows how to confront the attributes of different objects in order to understand how those objects are similar (based on their attributes) or on the other hand differ one from the other. By]]></description><link>http://direct.ecency.com/visualization/@datatreemap/how-to-make-a-heatmap-in-r-using-the-cars-built-in-dataset</link><guid isPermaLink="true">http://direct.ecency.com/visualization/@datatreemap/how-to-make-a-heatmap-in-r-using-the-cars-built-in-dataset</guid><category><![CDATA[visualization]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Thu, 12 Oct 2017 07:21:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/LcTxR7u1XKae8Zaj594qUJafNyNSBw9svATPAkZ7zV7eB8bFupbS7htXmwU2qhfQ9KjKHaJtrFZmY3GG6PFFErkd5QP7RdwiaVXMnY9QBEetFGxiUMpGQxfJVLnArpaBtXjW4Fovx5tPCNMtFaiFaXoMg?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to visualize stacked bar charts in R]]></title><description><![CDATA[There are many cases in which visualizing the data in a certain way helps in making comparisons and confrontations in order to understand better the different orders of magnitude that exist between variables.]]></description><link>http://direct.ecency.com/datavisualization/@datatreemap/how-to-visualize-stacked-bar-charts-in-r</link><guid isPermaLink="true">http://direct.ecency.com/datavisualization/@datatreemap/how-to-visualize-stacked-bar-charts-in-r</guid><category><![CDATA[datavisualization]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Wed, 11 Oct 2017 12:48:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/Zskj9C56UondJxcjVaienfhVaNb7LJVWG6e787gaJaiQa5wURnMEBEzZaNVByNjvtrkh8oLty1Pi4BhsVHh6ARmH5UMPABMbYoErW6HDRkCAJewTyPL2?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to visualize scatter plot of labels in R]]></title><description><![CDATA[R programming is great for doing different types of statistical analysis but mainly for doing data visualization. In this guide, datatreemap will show you how to make a scatterplot of labels starting from]]></description><link>http://direct.ecency.com/visualization/@datatreemap/how-to-visualize-scatter-plot-of-labels-in-r</link><guid isPermaLink="true">http://direct.ecency.com/visualization/@datatreemap/how-to-visualize-scatter-plot-of-labels-in-r</guid><category><![CDATA[visualization]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Wed, 11 Oct 2017 06:43:21 GMT</pubDate><enclosure url="https://images.ecency.com/p/6VvuHGsoU2QD2aHbJiivbVZV6nAA4BJrX2xi1Ybtz8pCbu1H4oD75fP6nq6My7xGebBh5JvvLJDzc8cJRjbCmWrVZvpqHrx7Fj6v1x2F44krcPqSnHSmc8EEB7E6rJ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to visualize table plot in R using the tabplot library]]></title><description><![CDATA[A table plot is a simple thought powerful data visualization method that gives a quick summary of the variables (columns) of a table. In this example, we visualize a table of data from a census taking]]></description><link>http://direct.ecency.com/visualization/@datatreemap/how-to-visualize-table-plot-in-r-using-the-tabplot-library</link><guid isPermaLink="true">http://direct.ecency.com/visualization/@datatreemap/how-to-visualize-table-plot-in-r-using-the-tabplot-library</guid><category><![CDATA[visualization]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Tue, 10 Oct 2017 07:57:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/Zskj9C56UondJxcjVaienfhVaNb7LJVWG6e787gaQnXXi2T5ox7ZejuFMR4jGMmNLMuurh5j8GrtuAnq2hqPETcow1NAhftP8dmPivAPLCXAGjSWrsYa?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to make a regional graph in R]]></title><description><![CDATA[When data collected has a geographic dimension it may be interesting to visualize it on a map by using the R library map. In this example, we visualize the murder rates by US state back in 1973. That's]]></description><link>http://direct.ecency.com/datavisualization/@datatreemap/how-to-make-a-regional-graph-in-r</link><guid isPermaLink="true">http://direct.ecency.com/datavisualization/@datatreemap/how-to-make-a-regional-graph-in-r</guid><category><![CDATA[datavisualization]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Mon, 09 Oct 2017 12:32:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/qjrE4yyfw5pQYiuVvgYiUBP16WHGGN7UNn1BCdGdZ4qz2D58BEqM31hve4qRiKQfordYSmmsT7ekg9GCehBvqkW2j197HrA28YWNxLUm4NDvuVtbhRZVkiES?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to make an age pyramid plot in R]]></title><description><![CDATA[There are many cases in which visualizing the data in a certain way helps in making different considerations. For example, you have a population of individuals and you want to divide them per age groups]]></description><link>http://direct.ecency.com/visualization/@datatreemap/how-to-make-an-age-pyramid-plot-in-r</link><guid isPermaLink="true">http://direct.ecency.com/visualization/@datatreemap/how-to-make-an-age-pyramid-plot-in-r</guid><category><![CDATA[visualization]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Mon, 09 Oct 2017 07:49:30 GMT</pubDate><enclosure url="https://images.ecency.com/p/2bP4pJr4wVimqCWjYimXJe2cnCgnFtsgeMs37FdNtR4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Data structures in R and how to use them.]]></title><description><![CDATA[A guide on how to with data structures such as Vector, Matrix, Array, Data frame and List in R programming language. Lets see those data structures one by one: Vector It can be defined with the combine]]></description><link>http://direct.ecency.com/datastructures/@datatreemap/data-structures-in-r-and-how-to-use-them</link><guid isPermaLink="true">http://direct.ecency.com/datastructures/@datatreemap/data-structures-in-r-and-how-to-use-them</guid><category><![CDATA[datastructures]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Sat, 07 Oct 2017 15:00:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/LcTxR7u1XKae8Zaj594qUJafNyNSBw9svATPAkZ7wmAU71otUdp12vFa4EzxD3eNKed9C7X1qmQSsesqJ7aNzfRvSZnCB7Um9vtwagk3khiAdpxfgeXAukqsp3iEgWcg4qMLMEMyUciQsWME5YZmg9SKY?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>