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Questions - bar-chart

Why would stat_summary not add up the labels on my barplot?

I have an aggregated dataset which looks like this one: place<-c('PHF','Mobile clinic','pharmacy','PHF','pharmacy','PHF','normal shop','pharmacy') District<-c('District1','District1','District1'...
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Kathrin Loosli

r

ggplot2

label

bar-chart

geom-bar

Votes: 0

Answers: 1

Latest Answer

As you are computing the sum you have to map the computed y value on the label aes using label=..y.. or label=after_stat(y): library(ggplot2) plot <- ggplot(data = Q14_HH, aes(x = place, y = Freq,...
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stefan

How do I make a barplot in R with a table of boolean categories as the x axis label?

I have a dataframe of counts of cases categorised by 5 attributes, each attribute is either TRUE, FALSE or NA. I'm trying to find a way of presenting the counts of the different combinations of attrib...
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tospo

r

plot

bar-chart

Votes: 0

Answers: 2

Latest Answer

If you want to do it all in a single ggplot call, without stitching plots together, you could do: library(tidyverse) ystep <- max(df$count, na.rm = TRUE) / 5 df %>% mutate(A = paste(attribute_...
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Allan Cameron

sorting out my horizontal bar chart in pandas

I have been trying to visualize some data and put them on horizontal bar charts stacked over each other. when doing so, I find it hard to sort them based on their sizes, which I wanted. I have tried s...
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Abdelrhman Dameen

python

pandas

charts

bar-chart

Votes: 0

Answers: 1

Latest Answer

You can sorting summed rows by DataFrame.sort_index with key parameter and scending=False: (plot3.sort_index(key=plot3.sum(axis=1).get, ascending=False) .plot(kind = 'barh',color = ['r', 'g'],fi...
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jezrael

Multiple sets of grouped bar charts (on the same plot) without using &quot;transforms&quot; in r plotly

Code: library(plotly) library(tidyverse) df <- data.frame(protein = c("Chicken", "Beef", "Pork", "Fish", "Chicken", &...
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serenity476

r

plotly

tidyverse

bar-chart

r-plotly

Votes: 0

Answers: 1

Latest Answer

We can rearrange the data to be in long format and then plot it: df %>% pivot_longer(cols = c(y1, y2)) %>% unite(gender_var, c(gender, name)) %>% plot_ly() %>% add_bars (x = ~pr...
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