How do I split my graph into +/- on the x axis? (meaning show negatives to the left of zero and positive comments to the right)

user_6529903 0
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I'm trying to split my graph so into +/- on the x axis... meaning show negatives to the left of zero and positive comments to the right. Right now, they are all lumped together. When we do this it's important that the "count of occurrences" is still reflected like in the original graph.

Here is my head(df)

> head(df)
   Journey.Area Experience.Framework Postive.or.Negative
1    Installing     People/Associate                   1
2 Using Product            Execution                  -1
3    Installing     People/Associate                   1
4      Delivery            Execution                  -1
5    Installing     People/Associate                  -1
6      Delivery     People/Associate                   1

Here is my put(head(df))

> dput(head(df))
structure(list(Journey.Area = c("Installing", "Using Product", 
"Installing", "Delivery", "Installing", "Delivery"), Experience.Framework = c("People/Associate", 
"Execution", "People/Associate", "Execution", "People/Associate", 
"People/Associate"), Postive.or.Negative = c(1L, -1L, 1L, -1L, 
-1L, 1L)), row.names = c(NA, 6L), class = "data.frame")

Here is my code for the current graph. How do I change it so that it graphs the Positive.or.Negative one direction of zero or the other as applicable:

library(ggplot2)
library(dplyr)
    df %>% 
      mutate(Journey.Area = factor(Journey.Area, 
  levels = c("Getting Assistance", "Returning", "Using Product", "Installing", 
             "Delivery", "Pickup", "Anticipating", "Buying", 
             "Deciding How to Buy", "Browsing"))) %>%
  count(Journey.Area,Experience.Framework) %>% 
  ggplot(aes(Journey.Area,n,fill=Experience.Framework)) +
  geom_col(position = "dodge") + 
  coord_flip() + 
  labs(fill="", x="Customer Journey Area", y="User Experience Framework") +
  theme(legend.position = "bottom") + ggtitle("Customer Sentiment Matrix") +
  theme(plot.title = element_text(hjust = 0.5))

Output: Current Output

ggplot2 r
2 Answers

Perhaps something like this will work for you?

df %>%
  group_by_all() %>%
  summarise(score = n() * Postive.or.Negative) %>%
  ggplot(aes(x = score, y = Journey.Area, fill = Experience.Framework)) +
  geom_col(position = position_dodge(), width = 0.5) +
  geom_vline(xintercept = 0) +
  theme_light(base_size = 16) +
  scale_x_continuous(limits = c(-2, 2), labels = abs) +
  scale_fill_brewer(palette = 'Set1') +
  labs(x = 'Negative Comments        Positive Comments')

enter image description here

user_125003150

First I removed your count command and change the geom_col to geom_bar where I added stat="identity". You can use the following code:

library(ggplot2)
library(dplyr)
df %>% 
  mutate(Journey.Area = factor(Journey.Area, 
                               levels = c("Getting Assistance", "Returning", "Using Product", "Installing", 
                                          "Delivery", "Pickup", "Anticipating", "Buying", 
                                          "Deciding How to Buy", "Browsing"))) %>%
  ggplot(aes(Journey.Area,Postive.or.Negative,fill=Experience.Framework)) +
  geom_bar(position = "dodge", stat = "identity") + 
  coord_flip() + 
  labs(fill="", x="Customer Journey Area", y="User Experience Framework") +
  theme(legend.position = "bottom") + ggtitle("Customer Sentiment Matrix") +
  theme(plot.title = element_text(hjust = 0.5))

Output:

enter image description here

user_142827140
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