plotly包一个通过开源JavaScript图形库plotly.js创建交互式web图形的R包。功能十分强大,不仅可以绘制散点图、折线图、条形图、箱线图、热图和地图等多种2D图形,还可以绘制3D点图、线图等。最重要的是,plotly包还可以通过ggplotly函数将ggplot2图形转换为由plotly.js提供支持的交互式...
Plotly是个交互式可视化的第三方库,严格意义上讲,它不仅可以实现R语言的交互可视化,官网(Plotly is the collaboration platform for modern data science)还提供了Python,Excel,Matlab和Javascript的接口,因此我们可以很方便地在这些软件中调用Plotly,当然本文主要是从R的角度来学习Plotly的应用。 首先安装并运行包 >instal...
由于subplot也是一个plotly对象,因此我们也可以将subplot对象放入一个subplot()函数中,从而实现更复杂的排版。 subplot(subplot(p3,p4), subplot(plots, nrows = length(plots), shareX = TRUE, titleX = FALSE)) 3.2.2 ggplot2 subplots 创建ggplot2对象的subplot subplot()除了可以处理plotly对象外,也可以处理gg...
Colorscale for Scatter Plots library(plotly)fig<-plot_ly(type='scatter',mode='markers',y=rep(5,40),marker=list(size=seq(0,39),color=seq(0,39),colorbar=list(title='Colorbar'),colorscale='Viridis',reversescale=T))fig<-fig%>%layout(xaxis=list(showgrid=F,zeroline=F),yaxis=list(sho...
plotly是plotly.js JavaScript库的一个R包装器，使用起来非常简单。您所要做的就是将最终的ggplot放置在包的ggplotly()函数中，该函数将返回绘图的交互式版本。例如:library(plotly)ggplotly(ggplot(snowfall2000s, aes(x = Winter, y = Total)) + geom_col() + labs(title = “Annual Boston Snowfall”,...
带R接口的javascript可视化工具包plotly 所有图形工具的完整列表 # 接下来所使用的安装包 install.packages(c( "colorBlindness","directlabels","dplyr","gameofthrones","ggforce", "gghighlight","ggnewscale","ggplot2","ggraph","ggrepel", "ggtext","ggthemes","hexbin","Hmisc","mapproj","maps"...
Plotly's R graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, and 3D (WebGL based) charts. ...
r time-series plotly contour 我正试图制作这样的堆叠图,但有一个共享的x轴: 当我尝试我的代码时,即使日期列是相同的类(“date”)和范围,轴似乎也不会对齐。此代码: p3soiH <- structure(list(SOI_d2H_P3_60 = c(0.270750353, 0.230147073, 0.181060466, 0.14969623, 0.217420949, 0.27484718, 0.245556866, ...
TheplotlyR package makes it easy to create interactive, publication-quality graphs online. Examples of plots include: line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, and 3D (WebGL based) charts. ...
Explore Creating plotly Plots and Dashes The next two chapters of the course show you how you can customize your graphics to build the perfect dashboard, and even add hover-over information to add detail and depth. Then you’ll move on to advanced charts that visualize complex relationships an...