<li><a href="#carga-de-datos" id="toc-carga-de-datos" class="nav-link" data-scroll-target="#carga-de-datos"><span class="header-section-number">3.2</span> Carga de ...
#scale_fill_manual("legend", values = c("A" = "black", "B" = "orange", "C" = "blue" #scale_fill_manual("legend", values=c("Adelie"="red","Gentoo"="purple","Chinstrap ...
In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular variable. The distribution ...
For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...
There’s a reason ggplot2 is one of the most popular add-on packages for R: It’s a powerful, flexible and well-thought-out platform to create data visualizations you can customize to your heart’s ...
Visualise the distribution of a single continuous variable by dividing the x axis into bins and counting the number of observations in each bin. Histograms (geom_histogram) display the count with bars ...
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