---
title: "Taller_EDA_3"
author: "Jose Juan"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    social: menu
    source_code: embed
---
```{r setup, include=FALSE}
library(flexdashboard)
library(plotly)
library(plyr)
library(tidyverse)
library(ggridges)

set.seed(955)
dat <- data.frame(cond = rep(c("A", "B"), each=10),
                  xvar = 1:20 + rnorm(20,sd=3),
                  yvar = 1:20 + rnorm(20,sd=3))
```

geom_point
=======================================================================

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

### Chart A

```{r}
p<- mpg |> ggplot(aes(x=displ,y=hwy, color=class))+
  geom_point()
ggplotly(p)
```


### Chart B

```{r}
# Left
p<-ggplot(mpg, aes(x = displ, y = hwy, color = class)) +
  geom_point()
ggplotly(p)
```

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

### Chart C

```{r}
# Right
p<-ggplot(mpg, aes(x = displ, y = hwy, shape = class)) +
  geom_point()
ggplotly(p)
```


### Chart D
```{r}
p<-ggplot(mpg) + 
  geom_point(aes(x = displ, y = hwy, color = "blue"))
ggplotly(p)
```


geom_point
=======================================================================

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


### Chart E
```{r}
p<-ggplot(mpg, aes(x = displ, y = hwy)) + 
  geom_point(color = "blue")
ggplotly(p)
```


### Chart F
```{r}
# Left
p<-ggplot(mpg, aes(x = displ, y = hwy, size = class)) +
  geom_point()
ggplotly(p)
```


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

### Chart G
```{r}
p<-ggplot(mpg, aes(x = displ, y = hwy, size = displ)) +
  geom_point()
ggplotly(p)
```


### Chart H
```{r}
p<-ggplot(mpg, aes(x = displ, y = hwy, size = displ, color=displ)) +
  geom_point()
ggplotly(p)
```




geom_point
=======================================================================

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


### Chart I
```{r}
# Right
p<-ggplot(mpg, aes(x = displ, y = hwy, alpha = displ)) +
  geom_point()
ggplotly(p)
```


### Chart J
```{r}
# Right
p<-ggplot(mpg, aes(x = displ, y = hwy, alpha = displ, color=displ)) +
  geom_point()
ggplotly(p)
```


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



### Chart K
```{r}
p<-mpg |>
  ggplot(aes(x = displ, y = hwy)) + 
  geom_point(colour="blue")
ggplotly(p)
```



### Chart L
```{r}

p<-ggplot(mpg, aes(x = displ, y = hwy, color = drv)) + 
  geom_point() +
  geom_smooth(aes(linetype = drv))
ggplotly(p)

```



geom_point
=======================================================================

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


### Chart M
```{r}

p<-ggplot(mpg, aes(x = displ, y = hwy)) + 
  geom_point(aes(color = class)) + 
  geom_smooth()
ggplotly(p)

```



### Chart N
```{r}
p<-ggplot(mpg, aes(x = displ, y = hwy)) + 
  geom_point() + 
  geom_point(
    data = mpg |> filter(class == "2seater"), 
    color = "red"
  ) +
  geom_point(
    data = mpg |> filter(class == "2seater"), 
    shape = "circle open", size = 5, color = "red"
  )
ggplotly(p)
```


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


### Chart O
```{r}
p<-ggplot(mpg, aes(x = displ, y = hwy)) + 
  geom_point() + 
  facet_wrap(~cyl)
ggplotly(p)
```



### Chart P
```{r}
p<-ggplot(mpg) + 
  geom_point(aes(x = displ, y = hwy)) + 
  facet_wrap(~ class, nrow = 2)
ggplotly(p)
```



geom_point
=======================================================================

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


### Chart U
```{r}
p<-ggplot(mpg, aes(x = displ, y = hwy)) + 
  geom_point() + 
  facet_grid(drv ~ cyl)
ggplotly(p)
```


### Chart V
```{r}
p<-ggplot(mpg, aes(x = displ, y = hwy)) + 
  geom_point() + 
  facet_grid(drv ~ cyl, scales = "free_y")
ggplotly(p)
```



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


### Chart W
```{r}
p<-ggplot(mpg) + 
  geom_point(aes(x = displ, y = hwy)) +
  facet_grid(drv ~ .)
ggplotly(p)
```



### Chart X
```{r}
p<-ggplot(mpg) + 
  geom_point(aes(x = displ, y = hwy)) +
  facet_grid(. ~ cyl)
ggplotly(p)
```


geom_density
=======================================================================

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


### Chart Q
```{r}
p<-ggplot(mpg, aes(cty)) +
  geom_density(
    aes(
      colour = factor(cyl),
      fill = after_scale(alpha(colour, 0.3)),
      y = after_stat(count / sum(n[!duplicated(group)]))
    ),
    position = "stack", bw = 1
  ) +
  geom_density(bw = 1)
ggplotly(p)
```



### Chart R
```{r}
# Imitating a ridgeline plot
p<-ggplot(mpg, aes(cty, colour = factor(cyl))) +
  geom_ribbon(
    stat = "density", outline.type = "upper",
    aes(
      fill = after_scale(alpha(colour, 0.3)),
      ymin = after_stat(group),
      ymax = after_stat(group + ndensity)
    )
  )
ggplotly(p)
```


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


### Chart S
```{r}
ggplot(mpg, aes(x = hwy, y = drv, fill = drv, color = drv)) +
  geom_density_ridges(alpha = 0.5, show.legend = TRUE)
```


### Chart T
```{r}
p<-ggplot(mpg, aes(class, hwy)) +
  geom_boxplot(aes(colour = class, fill = class))
ggplotly(p)
```




geom_bar
=======================================================================

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


### Chart Y
```{r}
p<-ggplot(mpg, aes(class, hwy)) +
  geom_boxplot(aes(colour = class, fill = after_scale(alpha(colour, 0.4))))
ggplotly(p)
```



### Chart Z
```{r}
# Left
p<-ggplot(mpg, aes(x = drv, color = drv)) + 
  geom_bar()
ggplotly(p)
```



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


### Chart AA
```{r}
# Right
p<-ggplot(mpg, aes(x = drv, fill = drv)) + 
  geom_bar()
ggplotly(p)
```



### Chart AB
```{r}
p<-ggplot(mpg, aes(x = drv, fill = class)) + 
  geom_bar()
ggplotly(p)
```



geom_bar
=======================================================================

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


### Chart AC
```{r}
p<-ggplot(mpg, aes(x = drv, fill = class)) + 
  geom_bar(alpha = 1/2, position = "identity")
ggplotly(p)
```



### Chart AD
```{r}
# Right
p<-ggplot(mpg, aes(x = drv, color = class)) + 
  geom_bar(fill = NA, position = "identity")
ggplotly(p)
```



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



### Chart AE
```{r}
# Left
p<-ggplot(mpg, aes(x = drv, fill = class)) + 
  geom_bar(position = "fill")
ggplotly(p)


```



### Chart AF
```{r}
# Right
p<-ggplot(mpg, aes(x = drv, fill = class)) + 
  geom_bar(position = "dodge")
ggplotly(p)
```