---
title: "Flex Dashboard"
output: 
  flexdashboard::flex_dashboard:
    orientation: row 
    vertical_layout: fill 
    social: ["menu"]
    source_code: embed
    theme:
      version: 4
      bootswatch: lumen
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
# checkout datatables.net to see all options for data\
# htmlwidgets.org showcases several widgets 
# fontawesome.com has thousands of icons to use in the dashboard
# bootswatch.com/sketchy to look at the different themes

data("penguins")

```

Plots {data-navmenu="Pages"}
=======================================================================

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



### Brief

Data from the R library palmerpenguins

Number of penguins, n = `r nrow(penguins)`

Variables = `r colnames(penguins)[3:6]`

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

### Number of penguins

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

### Average boby mass

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


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

### Scatter plot of bill length and depth 

```{r}

plot_a <- penguins %>% ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) +
  geom_point()
plotly::ggplotly(plot_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="Pages"}
=======================================================================

```{r}
# checkout datatables.net to see all options for data
penguins %>% datatable(extensions = "Buttons",
                       options = list(dom = "Blfrtip",
                                      buttons = c("copy", "csv", "excel", "pdf", "print")))
```