---
title: "Airbnb Listings in NY"
author: 'AAYUSH SETHI'
output: 
  flexdashboard::flex_dashboard:
    source_code: embed
    vertical_layout: scroll
    theme: yeti
    orientation: column

---

``` {js}
// Inverse color of navigation bar.
$('.navbar-inverse').removeClass('navbar-inverse').addClass('navbar-default');
```

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse) # metapackage with lots of helpful functions
library(caret)
library(highcharter)
library(ggmap)
library(leaflet)
library(plotly)
library(DT)
library(shiny)
list.files(path = "../input")
df <- read.csv(file = "~/Desktop/NYC.csv")
```


```{r, include=FALSE}
df$reviews_per_month[is.na(df$reviews_per_month)] <- 0
df <- df %>% mutate(avg_price = price/minimum_nights)
```

Overview
=======================================================================

 Column {.tabset .tabset-fade data-width=700 .colored }
-----------------------------------------------------------------------

### Location
```{r, fig.height=10}
leaflet(df %>% select(longitude,neighbourhood_group,neighbourhood,latitude,price)) %>%
  setView(lng = -73.95, lat = 40.73,zoom = 10) %>%
   addTiles() %>% 
  addMarkers(
  clusterOptions = markerClusterOptions())
```

Column {data-width=300}
-----------------------------------------------------------------------

### Number of hotel
```{r, fig.height=0.25}
valueBox(nrow(df), icon = "fa-ship", color="rgb(100,100,100)")
```

### Average price per day
```{r, fig.height=0.25}
valueBox(round(mean(df$price, na.rm = T),0), icon = "fa-heart", color="black(200,100,100)")
```


### Avg Prices by Neighborhood
```{r,fig.height=4}
fig <- df %>% plot_ly(labels = ~neighbourhood_group, values = ~avg_price)
fig <- fig %>% add_pie(hole = 0.6)
fig <- fig %>% layout( showlegend = F,
                      xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
                      yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))
fig
```


### Violin Plot: AVG Price by Neighborhood
```{r,fig.height=4}
fig2 <- df %>%
  plot_ly(
    x = ~neighbourhood_group,
    y = ~avg_price,
    split = ~neighbourhood_group,
    type = 'violin',
    box = list(
      visible = T
    ),
    meanline = list(
      visible = T
    )
  ) 

fig2 <- fig2 %>%
  layout(
    xaxis = list(
      title = "Neighborhood"
    ),
    yaxis = list(
      title = "AVG Price",
      zeroline = F
    )
  )

fig2
```

Room type
=======================================================================

 Column {data-width=700 .colored }
-----------------------------------------------------------------------

### Average price per day of common room
```{r, fig.height=2.5}
hchart(df$avg_price[df$avg_price < 500], color = "#AA4643", name = "Price per day") %>%
  hc_title(text = "Average price of common room") %>%
  hc_add_theme(hc_theme_ffx())
```

### Average price per day of high-class room
```{r,fig.height=2.5}
hchart(df$avg_price[df$avg_price < 500], color = "#3D96AE", name = "Price per day") %>%
  hc_title(text = "Average price of high-class room") %>%
  hc_add_theme(hc_theme_ffx())
```

Column {data-width=300}
-----------------------------------------------------------------------

### Number of common rooms
```{r,fig.height=0.25}
valueBox(nrow(df %>% 
                filter(avg_price < 500)), icon = "fa-heart",color="#B71C1C")
```


### Average price per day of common rooms
```{r, fig.height=0.25}
valueBox(round(mean(df$avg_price[df$avg_price < 500]),0), icon = "fa-heart",color="#B71C1C")
```

### Number of high-class room
```{r, fig.height=0.25}
valueBox(nrow(df %>% 
                filter(avg_price >= 500)), icon = "fa-heart",color="#006699")
```

### Average price per day of high-class rooms
```{r, fig.height=0.25}
valueBox(round(mean(df$avg_price[df$avg_price >= 500]),0), icon = "fa-heart",color="#006699")
```

### Availability
```{r,fig.height=3}
hchart(df$availability_365, color = "#336666", name = "Availability") %>%
  hc_title(text = "Overall room availability") %>%
  hc_add_theme(hc_theme_ffx())
```