geom-bar

How to create a Bar with ggplot with probability with 2 variables and 3 sub variables

喜你入骨 提交于 2021-01-29 13:42:02
问题 Desperate for help with this. Raw Data comes from https://www.hockey-reference.com/play-index/tiny.fcgi?id=mmDlH Looks Like this: csv file # A tibble: 6 x 19 match_no Date Tm Opp Outcome Time G PP SH S PIM GA PPGA SHGA <dbl> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 1 1 6/4/… NYI WSH W REG 3 0 0 24 4 0 0 0 2 2 6/4/… WSH NYI L REG 0 0 0 29 2 3 0 0 3 3 6/4/… STL VAN W SO 3 1 0 36 6 2 2 0 4 4 6/4/… VAN STL L SO 2 2 0 25 6 3 1 0 5 5 6/4/… COL SJS L REG 2 0 0 30

R ggplot2: labels inside bars, no stacked geom_bar

元气小坏坏 提交于 2021-01-28 04:38:18
问题 I have the following dataset: data <- structure(list(Q14 = c("< 5 people", "> 11 people", "6-10 people", NA), count = c(148L, 13L, 34L, 21L), var = c("Team Size", "Team Size", "Team Size", "Team Size")), row.names = c(NA, -4L), class = c("tbl_df", "tbl", "data.frame")) And I plot my geom_bar as follows: library(ggplot2) library(wesanderson) ggplot(data) + geom_bar( aes(x = var, y = count, fill = Q14), stat = "identity", position = "fill") + coord_flip() + theme(legend.position = "none", axis

How to use geom_bar() to create two grouped columns in R

左心房为你撑大大i 提交于 2021-01-28 03:30:28
问题 There has got to be an easy way to create one set of grouped bars for aware column and a another set of grouped bars for serious column with the individual bars within each group being the value for the respective regions. Final image should look similar to attached image. Thanks! data I'm working with Image I'm seeking approximately by_region <- country_obs_df %>% group_by(Region) %>% summarize( #region_avg_gdp = GDPperUS, #region_avg_co2 = CO2emi, #region_avg_pop = Population.2008, region

How to use geom_bar() to create two grouped columns in R

人盡茶涼 提交于 2021-01-28 02:13:24
问题 There has got to be an easy way to create one set of grouped bars for aware column and a another set of grouped bars for serious column with the individual bars within each group being the value for the respective regions. Final image should look similar to attached image. Thanks! data I'm working with Image I'm seeking approximately by_region <- country_obs_df %>% group_by(Region) %>% summarize( #region_avg_gdp = GDPperUS, #region_avg_co2 = CO2emi, #region_avg_pop = Population.2008, region

How to show percentages in stacked column with ggplot geom_bar? [duplicate]

落爺英雄遲暮 提交于 2021-01-27 18:44:20
问题 This question already has answers here : Adding percentage labels to a bar chart in ggplot2 (1 answer) How to draw stacked bars in ggplot2 that show percentages based on group? (1 answer) Closed 1 year ago . I'm trying to add percentage labels in a stacked bar chart. What can I add to my geom_bar to show the percentage labels inside stacked bars? This is my data: myresults=data.frame( manipulation=rep(c(-20,-10,0,10,20,-20,-10,0,10,20,-20,-10,0,10,20)), variable=rep(c("a","a","a","a","a","f",

ggplot2 problems with using …prop… and grouping bar graph by another category

99封情书 提交于 2021-01-27 11:46:17
问题 StudentData <- data.frame(gender = sample( c("male","female"), 100, replace=TRUE), degree = sample( c("Associates", "Masters", "PhD"), 100, replace=TRUE), category = sample( c("Audit", "Credit"), 100, replace=TRUE)) In the following dataset, I am trying to create a bar graph that plots the percentage of the sample which have an Associate's, Master's, or PhD, separated by gender (done by using facet_grid() ). This is what I have generated so far: StudentData %>% ggplot(., aes(x=degree, group

ggplot2 problems with using …prop… and grouping bar graph by another category

心不动则不痛 提交于 2021-01-27 11:39:50
问题 StudentData <- data.frame(gender = sample( c("male","female"), 100, replace=TRUE), degree = sample( c("Associates", "Masters", "PhD"), 100, replace=TRUE), category = sample( c("Audit", "Credit"), 100, replace=TRUE)) In the following dataset, I am trying to create a bar graph that plots the percentage of the sample which have an Associate's, Master's, or PhD, separated by gender (done by using facet_grid() ). This is what I have generated so far: StudentData %>% ggplot(., aes(x=degree, group