Column

Promedio valor exportado en 2023 (Miles de USD)

3.2 USD

Valor maximo exportado en 2023 (Miles de USD)

5.4 USD

Valor minimo exportado en 2023 (Miles de USD)

1.5 USD

Column

Chart B

Chart C

Table continues below
  Participación de las exportaciones para Colombia (%) Saldo comercial en 2023 (miles de USD)
Mean 8.325 1658
Std.Dev 22.97 4570
Min 0 1
Q1 0.05 10.5
Median 0.55 117.5
Q3 1.3 261.5
Max 100 19896
MAD 0.8154 172
IQR 1.225 248
CV 2.759 2.756
Skewness 2.976 2.976
SE.Skewness 0.4723 0.4723
Kurtosis 8.267 8.266
N.Valid 24 24
Pct.Valid 100 100
  Valor exportado en 2023 (miles de USD)
Mean 1658
Std.Dev 4571
Min 1
Q1 10.5
Median 117.5
Q3 261.5
Max 19900
MAD 172
IQR 248
CV 2.756
Skewness 2.976
SE.Skewness 0.4723
Kurtosis 8.268
N.Valid 24
Pct.Valid 100
---
title: "Tablero"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source_code: embed
---

```{r setup, include=FALSE}
library(flexdashboard)
library(readxl)
library(ggplot2)
install.packages("ggplot2")
library(summarytools)
library(pander)
AzucarBD <- read_excel("AzucarBD.xlsx")

```

Column {data-width=450}
-----------------------------------------------------------------------

### Promedio valor exportado en 2023 (Miles de USD)

```{r}
valueBox(value=paste(round(mean(mtcars$wt),1),"USD"),
         caption="Promedio valor",
         color="yellow")
```

### Valor maximo exportado en 2023 (Miles de USD)

```{r}
valueBox(value=paste(round(max(mtcars$wt),1),"USD"),
         caption="Maximo valor",
         color="green")
```

### Valor minimo exportado en 2023 (Miles de USD)

```{r}
valueBox(value=paste(round(min(mtcars$wt),1),"USD"),
         caption="Minimo valor",
         color="red")
```


Column {data-width=550}
-----------------------------------------------------------------------

### Chart B

```{r}
bd_new <- na.omit(AzucarBD)
ggplot(bd_new, aes(bd_new$`Participación de las exportaciones para Colombia (%)`))+
         geom_histogram(fill="blue",color="white",
                        alpha=0.9)+
         theme_minimal()+
         labs(x="%",y="Frecuencia absoluta")
         #ggtittle("Paises")
```

### Chart C

```{r}
result <- descr(bd_new)
pander(result)
```