---
title: "El meu dashboard"
output: 
  flexdashboard::flex_dashboard:
    orientation: rows
    vertical_layout: fill
    social: ["menu"]
    source_code: embed
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)

data("penguins")

```

Plots{data-navmenu="Main menu"}
====================================================================

sidebar{.sidebar}
--------------------------------------------------------------------


### Penguin stats

Aqui va tota l'explicació de l'estadistica . The number of penguins is `r nrow(penguins)`.

Row
--------------------------------------------------------------------

### Number of penguins

```{r}
valueBox(nrow(penguins), icon = "fa-linux")
```

### Average mass of penguins

```{r}
avg_mass <- round(mean(penguins$body_mass_g, na.rm = T), 1)
gauge(avg_mass,
      min = 0,
      max = max(penguins$body_mass_g, na.rm=T),
      gaugeSectors(success = c(4000, 6300),
                   warning = c(2000, 3999),
                   danger = c(0, 1999)
                   )
      )

```

Column {.tabset}
--------------------------------------------------------------------

### Scatter plot og bill length

```{r}

a <- penguins %>% ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) + 
  geom_point()

ggplotly(a)

```

### Chart B

```{r}

penguins %>% ggplot(aes(x = body_mass_g, y = sex, fill = sex)) + 
  geom_boxplot()

```

### Chart C

```{r}

penguins %>% ggplot(aes(x = flipper_length_mm, fill = species)) +
  geom_histogram() +
  facet_wrap(~species)

```

Data{data-navmenu="Main menu"}
========================================================================

```{r}

penguins %>% datatable(extensions = "Buttons",
                       options = list(dom = "Blfrtip",
                                      buttons = c("copy", "csv", "excel", "pdf", "print")
                                      )
                       )

```