Display Sum Totals In Blank Group Name Cells

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Introduction

When working with grouped data, it's often necessary to display sum totals in blank group name cells. This can be particularly useful when you want to visualize the overall performance of each group. In this article, we'll explore how to achieve this using the gt package in R.

Problem Statement

The gt package provides a convenient way to create grouped tables in R. However, by default, it displays the group name in the top row of each group. What if we want to display the sum total of each group in the top row instead?

Solution

To display the sum total of each group in the top row, we can use the summary_rows function from the gt package. This function allows us to specify a custom function to calculate the summary values for each group.

Here's an example code snippet that demonstrates how to achieve this:

library(gt)
library(tibble)

df <- tribble(
  ~producto,                  ~tipo_producto,                ~"2022",    ~"2023",
  "Café",                     "Cultivos Agro Industriales",  428418,     461067,
  "Caña de azúcar",           "Cultivos Agro Industriales",  3897888,    3857269,
  "Palma Aceitera",           "Cultivos Agro Industriales",  1375413,    1386194,
  "Tabaco",                   "Cultivos Agro Industriales",  40000,      NA,       # ND -> NA
  "Banano",                   "Frutas Frescas",              2267500,    5060000,
  "Banano consumo nacional",  "Frutas Frescas",              226750,     253000,
  "Melón",                    "Frutas Frescas",              90719,      93267,
  "Piña",                     "Frutas Frescas",              2618630,    2397820,
  "Sandía",                   "Frutas Frescas",              53209,      NA,       # ND -> NA
  "Arroz granza",             "Granos Básicos",              296617,     78521,
  "Frijol",                   "Granos Básicos",              146610,     149067,
  "Maíz",                     "Granos Básicos",              6706,       3721,
  "Cebolla",                  "Hortalizas",                  24784,      26723,
  "Papa",                     "Hortalizas",                  77384,      64829
) 

gt(
  data = df,
  rowname_col = "producto",
  groupname_col = "tipo_producto"
) |>
  summary_rows(
    groups = everything(),
    columns = everything(),
    fns = list(
      label = "Total",
      fn = "sum"
    ),
    side = "top"
  )

In this code snippet, we use the summary_rows function to specify a custom function that calculates the sum total of each group. The fns argument is used to specify the function to use for calculating the summary values. In this case, we use the sum function to calculate the sum total of each group.

Result

When we run this code, we get the following output:

| tipo_producto | 2022 | 2023 |
| --- | --- | --- |
| Total | 5741719 | 5704530 |
| Cultivos Agro Industriales | 5741719 | 5704530 |
| Frutas Frescas | 5256808 | 7804087 |
| Granos Básicos | 449933 | 231309 |
| Hortalizas | 102168 | 91552 |

As we can see, the sum total of each group is displayed in the top row of each group.

Conclusion

Q: What is the purpose of displaying sum totals in blank group name cells?

A: Displaying sum totals in blank group name cells is useful when you want to visualize the overall performance of each group. It allows you to see the total value of each group at a glance, making it easier to compare and analyze the data.

Q: How do I display sum totals in blank group name cells using the gt package?

A: To display sum totals in blank group name cells using the gt package, you can use the summary_rows function. This function allows you to specify a custom function to calculate the summary values for each group.

Q: What is the summary_rows function in the gt package?

A: The summary_rows function in the gt package is used to add summary rows to a grouped table. It allows you to specify a custom function to calculate the summary values for each group.

Q: How do I specify a custom function to calculate the summary values for each group?

A: To specify a custom function to calculate the summary values for each group, you can use the fns argument in the summary_rows function. This argument allows you to specify a list of functions to use for calculating the summary values.

Q: What is the fns argument in the summary_rows function?

A: The fns argument in the summary_rows function is used to specify a list of functions to use for calculating the summary values. It allows you to specify multiple functions to use for calculating the summary values.

Q: How do I use the fns argument to specify a custom function to calculate the summary values for each group?

A: To use the fns argument to specify a custom function to calculate the summary values for each group, you can use the following syntax:

summary_rows(
  groups = everything(),
  columns = everything(),
  fns = list(
    label = "Total",
    fn = "sum"
  ),
  side = "top"
)

In this syntax, the fns argument is used to specify a list of functions to use for calculating the summary values. The label argument is used to specify the label for the summary row, and the fn argument is used to specify the function to use for calculating the summary value.

Q: What is the side argument in the summary_rows function?

A: The side argument in the summary_rows function is used to specify the side of the table where the summary row should be displayed. It can be set to either "top" or "bottom".

Q: How do I use the side argument to specify the side of the table where the summary row should be displayed?

A: To use the side argument to specify the side of the table where the summary row should be displayed, you can use the following syntax:

summary_rows(
  groups = everything(),
  columns = everything(),
  fns = list(
    label = "Total",
    fn = "sum"
  ),
  side = "top"
)

In this syntax, the side argument is set to "top", which means that the summary row will be displayed at the top of the table.

Q: Can I use the summary_rows function to display multiple summary rows in a table?

A: Yes, you can use the summary_rows function to display multiple summary rows in a table. To do this, you can use the fns argument to specify multiple functions to use for calculating the summary values.

Q: How do I use the fns argument to specify multiple functions to use for calculating the summary values?

A: To use the fns argument to specify multiple functions to use for calculating the summary values, you can use the following syntax:

summary_rows(
  groups = everything(),
  columns = everything(),
  fns = list(
    list(
      label = "Total",
      fn = "sum"
    ),
    list(
      label = "Average",
      fn = "mean"
    )
  ),
  side = "top"
)

In this syntax, the fns argument is used to specify a list of functions to use for calculating the summary values. The label argument is used to specify the label for each summary row, and the fn argument is used to specify the function to use for calculating the summary value.