---
title: "Lab-04 Dynamic Graphics"
output: flexdashboard::flex_dashboard
runtime: shiny
---

```{r global, include=FALSE}
library( dplyr )
library( Lahman )

data( Teams )

ave.so <- Teams$SO / Teams$G  # average strike-outs per game each season 
year <- Teams$yearID

Teams$ave.so <- Teams$SO / Teams$G  # add back to data frame so you can subset

# min and max values needed to create your plot window 
ave.so.min <- min( ave.so, na.rm=T )
ave.so.max <- max( ave.so, na.rm=T )

# the league average for each season
league.ave <- tapply( X=ave.so, INDEX=as.factor(year), FUN="mean", na.rm=T )
league.year <- as.numeric( names( league.ave ) )
```



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

Select a team to highlight on the graph.

```{r}
selectInput( inputId=,
             label=,
             choices=,
             selected=   
           )
```



**Author:** Your Name Here

**Date:**  `r format(Sys.time(), '%B %d, %Y')`




Column
-----------------------------------------------------------------------

### Strikeouts on the Rise

```{r}
renderPlot({
  
# your code here
  
})
```

