I want to use ggplot2 & geom_bar to change bar color based on 1 factor variable and bar pattern based on another factor variable. I can't figure out how to
I am doing an exploratory data analysis for data that is collected at the daily level over many years. The relevant time period is about 18 - 20 months from the
Data: structure(list(ID = c(19903L, 28185L, 28207L, 28429L, 28522L, 29092L, 29127L, 29219L, 29304L, 30981L, 31166L, 31411L, 32010L, 33231L, 33640L, 33714L, 34
How to avoid my y-axis label overlap in this case(top 5 most frequent words for each year)? Because I may need to change the number of words(ie.top10, top20) la
I'm trying to add more standard deviation to my current plot. I need to add 1std and 3std, I've already addeed the 2std to my plot. This is my code: tidyverse_
I need to annotate a set of chats in a facet grid where the y axis is scale is set to scale = 'free_y'. As the scales are very different, when I set the y posit
I can't figure out how to customize the x-axis in the graph below. At minimum, I would like each month to be labeled on the x-axis. All help is appreciated. dpu
I have a lot of categorical variables that are going into a single graph, which is split on a particular status. Something like this, but with many more groups
How to set this plot in ascending order? many thanks in advance. library(ggplot2) library(reshape2) iris2 <- melt(iris, id.vars="Species"); iris2 ggplot(da
I am trying to add a table that summarizes the info I have in a facet grid boxplot to the same plot. df<- structure(list(design = c("F", "F", "F", "F", "H",
I am planning to reproduce the attached figure, but I have no clue how to do so: Let´s say I would be using the CO2 example dataset, and I would like to
I would like to stretch these plots to the window size or at least make them bigger: ui.R options(rgl.useNULL = TRUE) library(shiny) library(rgl) shinyUI(flui
enter image description hereIm trying to stack the above given formula to use on my code, but i keep getting this error Error: Must request at least one colour
So I have successfully plotted these graphs individually, now I want to create a plot that has all three categories in one graph with same scales but different
I am reading the book Text Mining with R: A Tidy Approach by Julia Silge & David Robinson to try to find the difference between two works, and not the three
I have a set data that I need to add to levels of labels. One on a single chart within the facet grid, and one from a small dataframe with entries for for each
Data: https://github.com/yuliaUU/data/blob/main/test.csv griddf <- read_csv("test.csv") create a map: world <- rnaturalearth::ne_countries(scale = "medi
I would like to plot a density plot over counts histogram using following sample data: However my density line was not readable in my plot. if I use ..ncount..,
I have downloaded tweets and I am trying to represent the different hashtags and how often they are tweeted. Some data screen_name location text
Could you help me make a graph in R similar to the one I inserted in the image below, which shows the properties on a map, differentiating by cluster. See in my