Fix: ggplot2: Display per Months using Stacked Bar Chart with

 To create a stacked bar chart in `ggplot2` displaying data per month, you can use the `geom_bar()` function and map your data to the `x` (months) and `fill` (categories) aesthetics. Here's a step-by-step example:


Assuming you have a data frame called `df` with columns `month`, `category`, and `value`, where `month` is a Date or DateTime, `category` represents the categories you want to stack, and `value` represents the values:


```R

library(ggplot2)


# Sample data

df <- data.frame(

  month = seq(as.Date("2023-01-01"), as.Date("2023-12-01"), by = "1 month"),

  category = c("A", "B", "C"),

  value = c(10, 20, 30, 15, 25, 35, 5, 10, 15, 20, 25, 30)

)


# Create a ggplot2 stacked bar chart

ggplot(df, aes(x = month, y = value, fill = category)) +

  geom_bar(stat = "identity") +

  labs(

    title = "Stacked Bar Chart per Month",

    x = "Month",

    y = "Value",

    fill = "Category"

  ) +

  theme_minimal() +

  scale_x_date(date_labels = "%b %Y", date_breaks = "1 month") +

  scale_fill_brewer(palette = "Set3")

```


In this code:


1. We use the `geom_bar()` function to create the stacked bar chart and map `month` to the x-axis, `value` to the y-axis, and `category` to the fill aesthetic to create the stacks.


2. We set the axis labels, chart title, and use a minimal theme for aesthetics.


3. We customize the x-axis scale to display months with a specific date format.


4. We choose a color palette for the fill using `scale_fill_brewer()`, but you can use any other color palette you prefer.


This code will create a stacked bar chart showing values per month, with different categories represented by different colors. You can adjust the data, labels, and visual settings according to your specific requirements.

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