# Order the stacked barplot by proportion or percent in R

I can order my plot based on count but not by proportion. I want to bars on x-axis to be arranged by proportion of "c". Here is my code long<- data.frame( Name = c("abc","abc","abc","gif","gif","gif","xyz","xyz","xyz"), variable = c("a","b","c","a","b","c","c","b","a"), value = c(4,6,NA,2,8,1,6,NA,NA)) long_totals <- long %>% group_by(Name) %>% summarise(Total = sum(value, na.rm = T)) p<-long %>% mutate(variable… Read More Order the stacked barplot by proportion or percent in R

# Plotting a stacked column containing a categorical list using Pandas

I have a Pandas dataframe with categorical data stored in a list. I would like to plot a stacked bar plot with col3 on the x-axis and col1 and col2 stacked on top of each other for the y-axis. Reproducible dataframe structure: import pandas as pd import matplotlib.pyplot as plt d = {‘col1’: [1, 17,… Read More Plotting a stacked column containing a categorical list using Pandas

# How to plot separate bar in bar graph for repeated values using Matplotlib?

Given a dataset: x = [3, 2, 4, 6, 7] y = [‘a’,’a’,’b’,’b’,’c’] Here variables a and b are repeated twice. My requirement is to plot the bar graph for each variable and for variables a and b, we need a separate bar for each a and b. I was trying to plot a horizontal… Read More How to plot separate bar in bar graph for repeated values using Matplotlib?