May 21, 2019 · This guide is a resource to explore data visualizations in R. R provides several packages to produce high-quality plots. In this guide, we will discuss a few popular choices. The resources for the other packages can be found in the resources section below.
Jun 07, 2017 · This blog post shows how to get the best from ggplotly, the function of plotly allowing you to turn any ggplot2 chart interactive. A special care is given on features that are not present in ggplot2 (like hovering), and features that are not well translated by ggplotly (like legend position). Let’s start with a usual ggplot2 chart.
May 16, 2019 · The ggplotly() function in this package allows me to create a visual in ggplot, wrap it, and presto - interactive visualization! While taking this approach on a recent project, I ran into an issue with my subtitle disappearing.
Plotly Legend ... Plotly Legend
A guide to creating modern data visualizations with R. Starting with data preparation, topics include how to create effective univariate, bivariate, and multivariate graphs. In addition specialized graphs including geographic maps, the display of change over time, flow diagrams, interactive graphs, and graphs that help with the interpret statistical models are included. Focus is on the 45 most ...
Introduction. R’s basic graphic capabilities can be effective for communicating basic features of data and statistical models. In the domain of genome science, many specialized visualizations have been developed, and a number of Bioconductor packages simplify the production of important classes of visual representations of genomic elements and assay readouts.
pandas.DataFrame.unstack¶ DataFrame.unstack (level = - 1, fill_value = None) [source] ¶ Pivot a level of the (necessarily hierarchical) index labels. Returns a DataFrame having a new level of column labels whose inner-most level consists of the pivoted index labels.
27 Working with colors. 33 Improving ggplotly(). Since the ggplotly() function returns a plotly object, we can use that object in the same way you can use any other plotly object. The ggplot2 package doesn't provide an API for interactive features, but by changing the hoverinfo attribute to "none" , we...
May 11, 2017 · The instruction ggplotly(p) produces an empty graph. It works otherwise without dates. Installing the devel version of ggplot2 as suggested in the warning fixes the issue, but then other changes in ggplot2 devel break compatibility with the package I work on. Also I'm not sure how to handle the dependency of a stable package on a development one. conda install linux-64 v0.11.5; win-32 v0.11.5; noarch v0.11.5; win-64 v0.11.5; osx-64 v0.11.5; To install this package with conda run one of the following: conda install -c conda-forge ggplot Jan 26, 2010 · The used packages have evolved over the years, and some of the mechanics have changed on the way. For example, in previous versions ggplot2 was loading reshape and plyr packages, this is not so any more. If you ever come across a function you do not know, the easiest and safest way is to browse its help pages. g2<-ggplot(mpg, aes(cyl, hwy, color=factor(year)))+geom_point(). g<-grid.arrange(g1,g2,ncol=2). ggplotly(g). However, I am getting "Error in gg2list It doesn't know what to do with the object returned by the arrangeGrob function because it's not just a single ggplot object (it's a grob arrangement, etc).