ggplot(pietable, aes("", P)) + geom_bar( stat = "identity", aes( fill = rev(fct_inorder(cluster))) + geom_label_repel( data = pietable[!P<1], aes( label = paste0(P, "%"), y = p1, #col = rev(fct_inorder(cluster)) ), point.padding = NA, max.overlaps = Inf, nud...
Arrest)) %>% { ggplot(., aes(x = Arrest, y = State, fill = Arrest)) + geom_col() + scale_fill_gradient2( low = "#04e762", mid = "#f5b700", high = "#dc0073", midpoint = mean(.$Arrest) ) + theme_minimal() + theme(legend.position = "none") } ``` ![...
install.packages(ggplot2) 1. 2. Error in install.packages : object ‘ggplot2’ not found AI检测代码解析 ## correct: install.packages("ggplot2") ## also correct: install.packages("ggplot2") 1. 2. 3. 4. 5. 解决办法 当然,解决方案是简单地将所有打开的小括号、大括号、方括号和引号与它们...
col=sapply(lisa_clusters, function(x){return(lisa_colors[[x+1]])}), border = "#333333", lwd=0.2) title(main = "Bivaraite Local Moran") legend('bottomleft', legend = lisa_labels, fill = lisa_colors, border = "#eeeeee") [![bivariate...
How are Outliers Determined in Seaborn using Boxplot? How to make a grouped boxplot graph in matplotlib? How to create a Boxplot with Matplotlib? How to move the legend to outside of a Seaborn scatterplot in Matplotlib? How To Use Seaborn Color Palette to Color Boxplot...
ggplot2: Elegant Graphics for Data Analysis - ggplot2 Guide Data Science Ipython Notebooks, Scipy Lectures or Virgilio / GitHub - Learn DataScience Data Engineering Zoomcamp - Data Engineering Course Data Engineering Practice Problems - Data Engineering Practice Learn to Make Netflix Clone ▷ Da...
ggplot2: Elegant Graphics for Data Analysis - ggplot2 Guide Data Science Ipython Notebooks, Scipy Lectures or Virgilio / GitHub - Learn DataScience Data Engineering Zoomcamp - Data Engineering Course Data Engineering Practice Problems - Data Engineering Practice Learn to Make Netflix Clone ▷ Dat...
Here is attempt 2 where the fill works but the legend does not. ggplot(d, aes(x=reorder(description, -pvals), y=value)) + geom_bar(stat="identity", aes(fill=variable, alpha = pvals), position="dodge") + ylim(0, max(d$value) + 0.6) + xlab("") + coord_flip() + scale_fill...