Interactive Graphs with Plotly and Dash

class: center, middle, inverse, title-slide

.title[
# Interactive Graphs with Plotly and Dash
]
.subtitle[
## IDS Workshop on interactive data visualization Plotly and Dash in R
]
.author[
### Giorgio Coppola, Gayatri Shejwal, Lonny Chen
]
.institute[
### Hertie School
]

---

class: inverse, center, middle
name: welcome

# Welcome!
<html><div style='float:left'></div><hr color='#EB811B' size=1px style="width:1000px; margin:auto;"/></html>

---
# Introduction

Data visualization is a powerful mean to understand complex data and communicate insights effectively, revealing the hidden patterns and trends that wouldn't be obvious in tabular data, turning raw data into information.

The tools we are going to introduce today serve exactly this purpose, enhancing the visualization possibilities offered by other static visualization packages such as `ggplot2`.

<br>
--
**What tools allow to do so?**

Plotly and Dash! And we will introduce both!

Indeed, `plotly` and `dash` are 💫 interactive 💫, in the sense that the user can interact with the data through the graph directly. This allows possibilities for higher understanding of the data.

---
# Introduction
### Why interactive graphs?  📉

--
<br>
* *Engagement*: Makes data come alive (interactive) and is more engaging for users. This increase understanding and retention.

--
* *Depth*: Allows users to drill down and explore nuances, as interaction allows to create narratives more easily. Users can ask 'why' and get answers instantly by exploring the chart or graph.

--
* *Decision-making*: Facilitates more informed decisions.

<br>
Both `plotly` and `dash` are interactive, but we can say that the level of interaction is different: `plotly` appears very similar to a static plot, with the difference that we can hover your cursor over it, accessing further data. `dash` on the other hand, creates proper dashboards, namely HTML apps, allowing even more interaction.

---
# Plotly
### What is Plotly?

--
Plotly is actually a company headquartered in Montreal, Canada, providing online graphing, analytics, and     statistics tools, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript and REST.
    
In this contex, with Plotly we refer to the R package for to create interactive graphs.

--
# Plotly
### Advantages of using Plotly

--
- Seamless integration with R and `ggplot2`, through the `ggplotly` function, that converts your static plots to an interactive web-based version!

--
- Diverse range of plots and customization (wide array of chart types with extensive customization options), as well as the possibility to zoom in and out into the plot, or select a certain part of the plot and explore it specifically. Users can pan, zoom, and hover over the plots to get more information.

--
- HTML web integration of graphs, makes visualization more accessible and intuitive.

---
# Plotly
### Main distinctive features: the building blocks! 🔨
<br>
Plotly's main feature is interactivity! It is achieved by a couple of operations within the `plot_ly` function:

--
* **data**: a data frame (what a surprise!)
* **x and y**: the variables for the x and y axes, respectively 
* **type**: the type of plot you want to create (e.g. "scatter", "bar", "box", etc).
* **mode**: determines whether the scatter plot should show "markers", "lines", "text", or a combination thereof
* **color**: specifies the color of data points or lines. This can be used to distinguish between different groups or represent a 
      continuous variable

--
Nothing really interactive until now...

---
# Plotly
### Main distinctive features: the building blocks! 🔨
<br>
... What enables interaction:

* **Hovertext & Tooltip**:
    - *Hovertext*: This is the text that appears when a user hovers over a specific data point or element in a Plotly plot. It's essentially a string or array of strings associated with each data point.
    - *Tooltip*: This is the box or interface that displays the hovertext. While "hovertext" refers specifically to the text content, "tooltip" encompasses the overall appearance and context of the hover information.
 
<br>   
--
These can be highly customized: more info [here](https://plotly.com/r/hover-text-and-formatting/) for `plot_ly` and [here](https://plotly.com/ggplot2/hover-text-and-formatting/) for `ggplot2`, using `ggplotly`.
    
---
# Plotly
### Some visualization examples.

Some cool, non-trivial, yet not too complex, visualization that encapsulate the power of Plotly:
<br>
Let's play around a bit with the [Breweries and Beers by Style and US State Data](https://github.com/plotly/datasets/blob/master/beers.csv) 🍺!

For the variables (ref: [Growler Guys](https://thegrowlerguys.com/understanding-abv-and-ibu/)):
* `abv` - Alcohol by Volume (ABV), a standard measurement of alcohol content
* `ibu` - International Bitterness Units (IBU), ranges from 5 to 100+. A beer over 60 is considered bitter.
* `style_group` - eight beer types and "other" in the dataset (pre-processed) 
* `state` - US state

We will create:
1. Histogram of ABV
2. Bar chart of beer types
3. Boxplot of ABV
4. Scatter plot of ABV vs. IBU

---
class: custom-slide

# Plotly more in-depth: Examples
### Example 1: Histogram

Let's create a plotly graph plotting the 'alcohol by volume' `abv` variable against the beer 'count', to see the distribution of beer production in terms of alcohol level.
We can do this with one line using the `plot_ly` function and specifying type [`histogram`](https://plotly.com/r/histograms/)!
<br>

--
  .pull-left[

```r
fig1a <- beers %>% 
  plot_ly(x = ~abv, type = "histogram")
```
]

.pull-right[
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]

---
class: custom-slide

# Plotly more in-depth: Examples
### Example 1: Histogram with formatting
A few more arguments to `plot_ly` lets us specify `xbins` and `color`. Piping the `plot_ly` output into the `layout` function lets us add title, and axis formatting to the plot.
<br>

--
  .pull-left[

```r
fig1b <- beers %>% 
  plot_ly(x = ~abv, type = "histogram",
          xbins = list(start = 0, size = 0.005),
          color = "orange") %>%
  layout(
    title = "ABV Histogram",
    xaxis = list(title = "Alcohol by Volume (ABV)",
                 tick0 = 0, dtick = 0.01),
    yaxis = list(title = "Count of beers"),
    bargap = 0.05
  )
```
]

.pull-right[
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]

---
class: custom-slide

# Plotly more in-depth: Examples
### Example 2: Bar chart
And which different types of beer are included and in which amounts? Let's see using a [`bar`](https://plotly.com/r/bar-charts/) chart of the 'count' of the `style_group` variable.<br>

--
.pull-left[

```r
fig2 <- beers %>% count(style_group) %>%
  plot_ly(x = ~style_group, y = ~n, type = "bar") %>%
  layout(xaxis = list(categoryorder = "total descending"))
```
]

.pull-right[
<div class="plotly html-widget html-fill-item-overflow-hidden html-fill-item" id="htmlwidget-e42422b85ec50d695b28" style="width:450px;height:360px;"></div>
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]

---
class: custom-slide

# Plotly more in-depth: Examples
### Example 3: Boxplot
What about a boxplot of type [`box`](https://plotly.com/r/box-plots/) showing how alcohol level varies for different types of beer using the `style_group` variable?<br>

* What patterns do you see in the data?

.pull-left[

```r
fig3 <- beers %>%
  plot_ly(x = ~abv, 
          color = ~style_group, 
          type = "box", 
          showlegend = F)
```
]

.pull-right[
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]

---
class: custom-slide

# Plotly more in-depth: Examples
### Example 4: Scatter plot
And what about comparing alcohol level against bitterness? We need a [`scatter`](https://plotly.com/r/line-and-scatter/) plot!
* Notice how the `color` and the powerful interactive `hovertext` arguments work to enhance the plot
* What patterns do you see now? (Tip: filter out beer types in the legend)

.pull-left[

```r
beer_hover = ~paste('Beer: ', beer, '</br>Style: ', style, '</br>Style Group: ', style_group)

fig4 <- beers %>%
  plot_ly(x = ~abv, y = ~ibu, type = "scatter", mode = "markers",
          color = ~style_group, 
          hovertext = beer_hover) %>%
  layout(
    title = "Beers scatter plot: ABV vs. IBU",
    xaxis = list(title = "Alcohol by Volume (ABV)"),
    yaxis = list(title = "International Bitterness Units (IBU)")
  )
```
]

.pull-right[
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American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Pale Alement <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Mucho Aloha Hawaiian Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Horny Toad Cerveza <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Native Amber <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Native Amber (2013) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Horny Toad Cerveza (2013) <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Caldera Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Ashland Amber Ale (2009) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Caldera Pale Ale (2010) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Caldera Pale Ale (2009) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Caldera Pale Ale (2005) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Caldera Pale Ale (2007) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Caldera Pale Ale (2011) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Ashland Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Imperial Pumpkin Stout <\/br>Style:  Pumpkin Ale <\/br>Style Group:  Ale","Beer:  Fisherman's Brew <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Cape Cod Red <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Beach Blonde <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Dark Voyage Black IPA (2013) <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Epitome <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Seiche Scottish Ale <\/br>Style:  Scottish Ale <\/br>Style Group:  Ale","Beer:  Elliott's Phoned Home Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  The Lawn Ranger <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Ray Rayâ€™s Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Catch 23 <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Pail Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  8 Barrel <\/br>Style:  American Strong Ale <\/br>Style Group:  Ale","Beer:  Wandering Pelican <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Maduro Brown Ale <\/br>Style:  English Brown Ale <\/br>Style Group:  Ale","Beer:  Maduro Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Tocobaga Red Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Cascadian Dark Ale <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Wheat the People <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Tybee Island Blonde <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Savannah Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Hurricane Amber Ale (2004) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Hurricane Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Farmer John's Multi-Grain Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Eclipse Black IPA <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Neomexicanus Native <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Old Soul <\/br>Style:  Belgian Strong Pale Ale <\/br>Style Group:  Ale","Beer:  Crazy Mountain Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Aviator Raspberry Blonde <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  South Ridge Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  The Tradition <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Dead Armadillo Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Oak Cliff Coffee Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Farmhouse Wit <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Dallas Blonde <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Gutch English Style Mild Ale <\/br>Style:  English Pale Mild Ale <\/br>Style Group:  Ale","Beer:  Mother Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Single Engine Red <\/br>Style:  Irish Red Ale <\/br>Style Group:  Ale","Beer:  Mirror Pond Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Abbey's Single (2015- ) <\/br>Style:  Abbey Single Ale <\/br>Style Group:  Ale","Beer:  Abbey's Single Ale (Current) <\/br>Style:  Abbey Single Ale <\/br>Style Group:  Ale","Beer:  Bravo Four Point <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Striped Bass Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Deadicated Amber <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Full Boar Scotch Ale <\/br>Style:  Scotch Ale / Wee Heavy <\/br>Style Group:  Ale","Beer:  Dry Dock Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Dundee Summer Wheat Beer <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Blonde Czich <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Iron Horse Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Stone's Throw IPA <\/br>Style:  Scottish Ale <\/br>Style Group:  Ale","Beer:  Trail Head <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Parcae Belgian Style Pale Ale <\/br>Style:  Belgian Pale Ale <\/br>Style Group:  Ale","Beer:  Loki Red Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Loki Red Ale (2013) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Sobek & Set <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Wet Hot American Wheat Ale <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Fascist Pig Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  805 <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Hinchtown Hammer Down <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Park <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Westfalia <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Dirty Bastard <\/br>Style:  Scotch Ale / Wee Heavy <\/br>Style Group:  Ale","Beer:  Local Buzz <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Kilt Lifter Scottish-Style Ale (2009) <\/br>Style:  Scottish Ale <\/br>Style Group:  Ale","Beer:  Suncaster Summer Wheat <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Brass Knuckle Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Texicali <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Harvest Ale <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Fremont Summer Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Universale Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Wee-Heavy-Er Scotch Ale <\/br>Style:  Scotch Ale / Wee Heavy <\/br>Style Group:  Ale","Beer:  Boathouse Blonde <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Cedar Point <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Saison Pamplemousse <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Get Up Offa That Brown <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Sweet As Pacific Ale <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Good People Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Good People American Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Mountain Rescue Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  312 Urban Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  312 Urban Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  312 Urban Wheat Ale <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  312 Urban Wheat Ale <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  312 Urban Wheat Ale (2012) <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Monarch Classic American Wheat <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Sir William's English Brown Ale <\/br>Style:  English Brown Ale <\/br>Style Group:  Ale","Beer:  Lakefire Rye Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Beer Agent Re-Ignition <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Great Crescent Blonde Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Great Crescent Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Frosted Fields Winter Wheat <\/br>Style:  American Dark Wheat Ale <\/br>Style Group:  Ale","Beer:  Great Crescent Mild Ale <\/br>Style:  English Dark Mild Ale <\/br>Style Group:  Ale","Beer:  Great Crescent Blonde Ale (2011) <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Commotion APA <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Barrel Aged Farmer <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Owney Irish Style Red Ale <\/br>Style:  Irish Red Ale <\/br>Style Group:  Ale","Beer:  Roller Dam Red Ale <\/br>Style:  Irish Red Ale <\/br>Style Group:  Ale","Beer:  483 Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Farmer Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  40th Annual Bix Street Fest Copper Ale (Current) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  483 Pale Ale (2010) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Roller Dam Red Ale (2010) <\/br>Style:  Irish Red Ale <\/br>Style Group:  Ale","Beer:  Pablo Beach Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Wild Trail Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Mothman Black IPA <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Flying Jenny Extra Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Flying Jenny Extra Pale Ale (2012) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Flagship Ale <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Mr. Blue Sky <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Screaminâ€™ Pumpkin <\/br>Style:  Pumpkin Ale <\/br>Style Group:  Ale","Beer:  El Rojo <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Grind Line <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Half Full Bright Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Hardywood Cream Ale <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Capital Trail Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  UFO Pumpkin <\/br>Style:  Pumpkin Ale <\/br>Style Group:  Ale","Beer:  UFO White <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Grazias <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  The Power of Zeus <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Tonganoxie Honey Wheat <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  The 12th Canâ„¢ <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Hilliard's Blonde <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Hilliard's Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Hilliard's Saison <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Provision <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  One Nut Brown <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Double D Blonde <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Festeroo Winter Ale <\/br>Style:  American Strong Ale <\/br>Style Group:  Ale","Beer:  Double D Blonde (2013) <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Double D Blonde (2011) <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Pale Dog <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Nonstop Hef Hop <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Rise Up Red <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Abominable Winter Ale <\/br>Style:  American Strong Ale <\/br>Style Group:  Ale","Beer:  Rise-Up Red (2014) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Abominable Winter Ale (2012) <\/br>Style:  American Strong Ale <\/br>Style Group:  Ale","Beer:  Shenanigans Summer Ale <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Midnight Ryder <\/br>Style:  American Black Ale <\/br>Style Group:  Ale","Beer:  Day Tripper Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Oklahoma Suks <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Power & Light <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Tribute <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Hijack <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Jon Boat Coastal Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  People's Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Thunder Ann <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Fox Tail Gluten Free Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Weekend Warrior Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Barn Burner Saison <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Peninsula Brewers Reserve (PBR) <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Cold Smoke Scotch Ale (2007) <\/br>Style:  Scotch Ale / Wee Heavy <\/br>Style Group:  Ale","Beer:  Eddy Out Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Cold Smoke Scotch Ale <\/br>Style:  Scotch Ale / Wee Heavy <\/br>Style Group:  Ale","Beer:  Blackberry Wheat <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Choc Beer (2003) <\/br>Style:  American Dark Wheat Ale <\/br>Style Group:  Ale","Beer:  Laughing Dog Cream Ale <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Farm Girl Saison <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  American Hero <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Peach Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Peacemaker Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Sweet Josie <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Long Trail Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Pub Ale <\/br>Style:  English Dark Mild Ale <\/br>Style Group:  Ale","Beer:  Ballistic Blonde <\/br>Style:  Belgian Pale Ale <\/br>Style Group:  Ale","Beer:  Mac's Scottish Style Amber Ale (2000) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Sol Drifter <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  SPRYE <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Gnarly Brown <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Happy Amber <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Belgian Style Session Ale <\/br>Style:  Belgian Pale Ale <\/br>Style Group:  Ale","Beer:  Summer Paradise <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Riverwalk Blonde Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Gillespie Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Manzanita Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  River House <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Rubberneck Red <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Blueberry Blonde Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Lahaina Town Brown <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Sobrehumano Palena'ole <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Mana Wheat <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Back in the Saddle Rye Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Humpback Blonde Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Volcano Red Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Mauna Kea Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Gator Tail Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Big Rod Coconut Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Kodiak Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Jucundus <\/br>Style:  Wheat Ale <\/br>Style Group:  Ale","Beer:  Grazias <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Louie's Demise Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Booyah Farmhouse Ale <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Louieâ€™s Demise Immort-Ale (2010) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  El Conquistador Extra Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Oneida <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Aurora <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Lomaland <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Fortunate Islands <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Blazing World <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Montauk Summer Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Honey Wheat <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Cali Creamin' <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Towhead <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Mustang Golden Ale <\/br>Style:  American Blonde Ale <\/br>Style Group:  Ale","Beer:  Washita Wheat <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Narragansett Summer Ale <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Narragansett Cream Ale <\/br>Style:  Cream Ale <\/br>Style Group:  Ale","Beer:  Narragansett Summer Ale <\/br>Style:  American Pale Wheat Ale <\/br>Style Group:  Ale","Beer:  Wick For Brains <\/br>Style:  Pumpkin Ale <\/br>Style Group:  Ale","Beer:  Brunette Nut Brown Ale <\/br>Style:  English Brown Ale <\/br>Style Group:  Ale","Beer:  Cardinal Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Fat Tire Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Fat Tire Amber Ale (2011) <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Fat Tire Amber Ale <\/br>Style:  American Amber / Red Ale <\/br>Style Group:  Ale","Beer:  Fat Tire Amber Ale (2008) <\/br>Style:  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Scottish Ale <\/br>Style Group:  Ale","Beer:  33 Select Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Midwest Charm Farmhouse Ale <\/br>Style:  Saison / Farmhouse Ale <\/br>Style Group:  Ale","Beer:  Boji Blue Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Falling Down Brown Ale <\/br>Style:  American Brown Ale <\/br>Style Group:  Ale","Beer:  Old Forge Pumpkin Ale <\/br>Style:  Pumpkin Ale <\/br>Style Group:  Ale","Beer:  Dale's Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Dale's Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Dale's Pale Ale <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Dale's Pale Ale (10 Year Anniversary) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Dale's Pale Ale (2012) <\/br>Style:  American Pale Ale (APA) <\/br>Style Group:  Ale","Beer:  Dale's Pale Ale (2011) <\/br>Style:  American 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<\/br>Style Group:  IPA","Beer:  Big Star White IPA <\/br>Style:  American White IPA <\/br>Style Group:  IPA","Beer:  Batch 69 IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Soul Doubt <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Interurban IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Salamander Slam <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  No Wake IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Clean Shave IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  2020 IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Wolf Among Weeds IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Better Weather IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Point the Way IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Heal the Bay IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Point the Way IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Burning Bush Smoked IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Wolf Among Weeds IPA (2012) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Point the Way IPA (2012) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Descender IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Snake Handler Double IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Good People IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Goose Island India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Great Crescent IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Great Crescent IPA (2011) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Big Cock IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Captain's Daughter <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Norm's Gateway IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Supergoose IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Pursuit <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  The Great Return <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  The Long Thaw White IPA <\/br>Style:  American White IPA <\/br>Style Group:  IPA","Beer:  Harpoon IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Harpoon IPA (2012) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Harpoon IPA (2010) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Groupe G <\/br>Style:  Belgian IPA <\/br>Style Group:  IPA","Beer:  Hill 88 Double IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Loose Cannon <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Habitus IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hop Farm IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Proxima IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Alphadelic IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Alphadelic IPA (2011) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hopworks IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Pigwar White India Pale Ale <\/br>Style:  American White IPA <\/br>Style Group:  IPA","Beer:  Hopworks IPA (2012) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Let It Ride IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Infamous IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  I-10 IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hop Box Imperial IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Rodeo Clown Double IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Hopadillo India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  KelSo India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Double Haul IPA (2009) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Double Haul IPA (2006) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Double Haul IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  King Street IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Elevated IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Laughing Dog IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Madra Allta <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Duluchan India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Irregardless IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Long Trail IPA <\/br>Style:  English India Pale Ale (IPA) <\/br>Style Group:  IPA","Beer:  Face Plant IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Psychopathy <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Dreamin' Double IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Chaotic Double IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Manzanita IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Our Legacy IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Our Legacy IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Flyin' HI.P.Hay <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Big Swell IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Tsunami IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Tsunami IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Miami Vice IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Pleasure Town <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Pleasure Town IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Sockeye Red IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Habitus (2014) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Solis <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Habitus <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Hop Freak <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Hop Happy <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Mission IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Shipwrecked Double IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  City of the Sun <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Booming Rollers <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Lil' Helper <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Old Grogham Imperial India Pale Ale <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Old Grogham Imperial India Pale Ale (2012) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Nebraska India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Slow Ride <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Ranger IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Ranger IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Ranger IPA (Current) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Gandhi-Bot Double IPA (12 oz.) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Gandhi-Bot Double IPA (16 oz.) (2010) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Hop Drop 'N Roll IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Get Together <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  5 Day IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Watershed IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Watershed IPA (2013) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Pinner Throwback IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Gordon Imperial Red (2010) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  G'KNIGHT (16 oz.) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  One Hit Wonder <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  G'KNIGHT (12 oz.) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  GUBNA Imperial IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Gordon Ale (2009) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Gordon (2005) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Gordon Beer (2006) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  G'KNIGHT <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Deviant Dale's IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Fresh Slice White IPA <\/br>Style:  American White IPA <\/br>Style Group:  IPA","Beer:  Outlaw IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Mound Builder IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Amazon Princess IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  98 Problems (Cuz A Hop Ain't One) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Grapefruit IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Mind's Eye PA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Camelback <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Elephant Rock IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Missouri Mule India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  GreyBeardâ„¢ IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Gangway IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Pump House IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Long Hammer IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Long Hammer IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Redacted Rye IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Elevation Triple India Pale Ale <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Ryeteous Rye IPA (2012) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Anti-Hero IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Truth <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Lil SIPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Jah Mon <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  RoughTail IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Saint Archer IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Count Hopula (Vault Series) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Hop Shock IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hop Shock IPA (2010) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Giant DIPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Schlafly IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Blur India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Frankenlou's IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Golden Ratio IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Monkey Fist IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Torpedo <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Torpedo <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Bengali <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hi-Res <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Autumnation (2013) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Bengali Tiger <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Resin <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Bengali Tiger (2011) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Modus Hoperandi <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Modus Hoperandi <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Initial Point India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Homefront IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Odyssey Imperial IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  113 IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Rule G IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Pakoâ€™s EyePA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Dagger Falls IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Dagger Falls IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Dagger Falls IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Texas Pale Ale (TPA) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Nice Rack IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  2014 IPA Cicada Series <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Sinister Minister Black IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Red Cockaded Ale <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Valkyrie Double IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Red Cockaded Ale (2013) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  PRO-AM (2012) (2012) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Baby Daddy Session IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Northern Lights India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Northern Lights India Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Third Eye Pale Ale <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Beyond The Pale IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Monkeynaut IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Unchained #18 Hop Silo <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Fistful Of Hops Red <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Fistful of Hops Orange <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Fistful Of Hops Blue <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Fistful of Hops Green <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Grapefruit Jungle (GFJ) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Isis <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Grapefruit Jungle (GFJ) (2011) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Overrated! West Coast Style IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  WET <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Abrasive Ale <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Furious <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Big Nose <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Dodgy Knight Imperial IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  TailGate IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  TailGate IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Ethos IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Oasis (2010) <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Tallgrass IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Old Elephant Foot IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Brutus <\/br>Style:  English India Pale Ale (IPA) <\/br>Style Group:  IPA","Beer:  Heady Topper <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Heady Topper <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Indian Paintbrush IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Double Trunk <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Just IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hoodoo Voodoo IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  40 Mile IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Overlord Imperial IPA <\/br>Style:  American Double / Imperial IPA <\/br>Style Group:  IPA","Beer:  Alloy <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Juke Joint IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  IPA & a Half <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Almanac IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Perpetual IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hoppy Boy <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Chupahopra <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Day Hike Session <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Trailhead ISA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Evo IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Evolutionary IPA (2012) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Evolutionary IPA (2011) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Trailhead India Style Session Ale (2011) <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Wobble <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Trader Session IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hop Nosh IPA <\/br>Style:  American IPA <\/br>Style Group:  IPA","Beer:  Hop Notch IPA (2013) <\/br>Style:  American IPA <\/br>Style Group:  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]

---
class: custom-slide

# ggplot - plotly interaction
### ggplotly(): Transforming a ggplot graph into an interactive plotly graph!

Good news if you are already experienced with `ggplot`! You can use  it to create  `plotly` graphs!
<br>
--
<br>
**Tooltip** and **Hovertext** in `ggplotly`:
The default behavior (without specifications) is to display the mapped aesthetics in the tooltip. For instance, if you have mapped the x and y aesthetics, then hovering over a point will display the x and y values in the tooltip... a bit redundant...

--
So, how to customize?
-- 
Only by combining the *text* aesthetic in ggplot2 with the *tootlip*  argument (and [other customization options](https://plotly.com/ggplot2/)) in ggplotly, you can achieve a wide range of tooltip customizations in your interactive plots!

```r
p <- ggplot(mtcars, aes(x = mpg, y = wt, 
                        text = paste("Car:", rownames(mtcars)))) +
  geom_point()

p_interactive <- ggplotly(p, tooltip = "text")  
```

---
class: custom-slide

# ggplot - plotly interaction
### ggplotly(): Transforming a ggplot graph into an interactive plotly graph!
We have a   `ggplot`  histogram that we want to transform into a   `plotly`  with   `ggplotly` . For example, we want to explore the beer production in California (the biggest beer producer in the US).

--
.pull-left[

```r
# Filter data for California
california_beers <- beers %>%
  filter(state == "CA")

# Plot
ggplot_ca_breweries <- ggplot(california_beers, 
                              aes(x = brewery, fill = style_group)) +
  geom_bar(position = "stack") +
  scale_fill_viridis_d() +
  theme_minimal() +
  labs(title = "Types of Beer Produced by Breweries in California", 
       x = "Brewery", 
       y = "Count") +
  theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))
```
]

.pull-right[
![](workshop-slides_files/figure-html/unnamed-chunk-14-1.png)
]

---
class: custom-slide

# ggplot - plotly interaction
### ggplotly(): Transforming a ggplot graph into an interactive plotly graph!
Let's see:
Here, when you hover over the graph, you will be able to see the top 3 more alchoolic ALE style produced in every US state.

--
.pull-left[

```r
california_beers_percentage <- california_beers %>%
  group_by(brewery, style_group) %>%
  tally() %>%
  group_by(brewery) %>%
  mutate(percentage = round(n / sum(n) * 100, 2))

ggplot_ca_breweries_percentage <- ggplot(california_beers_percentage, 
                                  aes(x = brewery, fill = style_group, 
                                  text = paste(style_group, ":", percentage, "%"))) +
  geom_bar(aes(y = n), stat = "identity", position = "stack") +
  scale_fill_viridis_d() +
  theme_minimal() +
  labs(title = "Types of Beer Produced by Breweries in California", 
       x = "Brewery", 
       y = "Count") +
  theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))

p_plotly_ca_breweries <- ggplotly(ggplot_ca_breweries_percentage, tooltip = "text")
```
]

.pull-right[
<div class="plotly html-widget html-fill-item-overflow-hidden html-fill-item" id="htmlwidget-4876969a10c7c690e393" style="width:522px;height:432px;"></div>
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%"],"type":"bar","textposition":"none","marker":{"autocolorscale":false,"color":"rgba(44,114,142,1)","line":{"width":1.8897637795275593,"color":"transparent"}},"name":"Lager","legendgroup":"Lager","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"orientation":"v","width":[0.89999999999999991,0.90000000000000013,0.90000000000000036,0.90000000000000036,0.90000000000000036,0.90000000000000036,0.89999999999999947,0.89999999999999858,0.89999999999999858,0.89999999999999858,0.89999999999999858,0.89999999999999858,0.89999999999999858,0.89999999999999858,0.90000000000000568,0.90000000000000568,0.90000000000000568,0.90000000000000568],"base":[6,0,3,0,0,0,0,1,0,0,1,0,0,0,2,0,0,1],"x":[1,2,3,4,5,6,8,12,14,15,21,22,29,31,34,36,37,39],"y":[3,1,3,1,1,1,1,2,1,3,1,1,1,2,2,2,1,2],"text":["Other : 15 %","Other : 20 %","Other : 16.67 %","Other : 100 %","Other : 16.67 %","Other : 25 %","Other : 25 %","Other : 66.67 %","Other : 25 %","Other : 20 %","Other : 33.33 %","Other : 16.67 %","Other : 100 %","Other : 50 %","Other : 22.22 %","Other : 25 %","Other : 20 %","Other : 40 %"],"type":"bar","textposition":"none","marker":{"autocolorscale":false,"color":"rgba(33,144,140,1)","line":{"width":1.8897637795275593,"color":"transparent"}},"name":"Other","legendgroup":"Other","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"orientation":"v","width":[0.89999999999999858,0.89999999999999858,0.89999999999999858,0.90000000000000568,0.90000000000000568],"base":[0,0,0,0,0],"x":[12,13,19,34,38],"y":[1,1,2,2,1],"text":["Pilsner : 33.33 %","Pilsner : 20 %","Pilsner : 50 %","Pilsner : 22.22 %","Pilsner : 100 %"],"type":"bar","textposition":"none","marker":{"autocolorscale":false,"color":"rgba(39,173,129,1)","line":{"width":1.8897637795275593,"color":"transparent"}},"name":"Pilsner","legendgroup":"Pilsner","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"orientation":"v","width":[0.89999999999999991,0.89999999999999858,0.90000000000000568],"base":[5,0,0],"x":[1,21,39],"y":[1,1,1],"text":["Porter : 5 %","Porter : 33.33 %","Porter : 20 %"],"type":"bar","textposition":"none","marker":{"autocolorscale":false,"color":"rgba(93,200,99,1)","line":{"width":1.8897637795275593,"color":"transparent"}},"name":"Porter","legendgroup":"Porter","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"orientation":"v","width":[0.89999999999999991,0.89999999999999858],"base":[1,0],"x":[1,16],"y":[4,1],"text":["Radler/Fruit : 20 %","Radler/Fruit : 50 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]
---
# Finally, Dash!
<br>

---
# Finally, Dash!
### What is Dash?

A web application framework for R (and Python and other programming languages) that allows creating interactive, web-based data dashboards (indeed), turning your interactive plots into full-blown web applications.

--
### Key features

--
- **HTML layout**: 
Design your dashboard layout using simple HTML components, without having to write any actual HTML. Indeed, it structure dashboard components using a set of pre-defined HTML tags within R.

--
- Interactivity through **callbacks**: 
callbacks define interactive behavior by specifying how input changes should modify output components. 
Essentially, when changing a dropdown or move a slider, a callback updates a chart, text, or any other component in real-time.

--
- **Integration with Plotly** visualizations: Plotly charts can be easily included in Dash, making them part of an    
    interactive dashboard where each component can talk to others.

---
# Plotly-Dash!
### Some visualization examples.

A cool, non-trivial, yet not too complex, visualization that encapsulate the power of Dash:
<br>
Let's create a dash with a map of the public toilets in Berlin using the [Berlin Public Toilet Data](https://www.kaggle.com/datasets/ryanjt/berlin-public-toilets-location/) 🚽. Each included toilet has data for its:
* Location: `Latitude`, `Longitude`, `PostalCode` mutated to `District`
* Cost: mutated to "Free" or "Paid"
* Services available: handicap accessible, changing table, etc.

We will:
1. "Plot" the toilets to a location-based Plotly **Scatter Map**
2. Add **input component** to filter by cost and services and an *output component*
3. Use **callbacks** to connect the inputs to the map (as output)
4. Design the **layout** and run the Dash App!

---
class: custom-slide

# Plotly-Dash
### Step 1: Scatter Map
We will first create a Plotly [`scattermapbox`](https://plotly.com/r/scattermapbox/) using the location variables of the Toilets dataset. Important to note:
* In the `mapbox` layout options, specify `style = 'open-street-map'` to use the free [OpenStreetMap](https://www.openstreetmap.org/) map layer, instead of the pay-for-tokens [Mapbox](https://www.mapbox.com/).

.pull-left[

```r
map = toilets |>
  filter(District != "NA") |>
  plot_ly(lat = ~Latitude, lon = ~Longitude, 
          type = "scattermapbox",
          split = ~District, size = 5,
          hoverinfo = "text+name", hovertext = ~Street) |>
  layout(
    title = "Berlin public toilets",
    mapbox = list(
      style = 'open-street-map',
      zoom = 9,
      center = list(lat = ~median(Latitude), lon = ~median(Longitude)))
  )
```
]

.pull-right[
<div align="center">
<br>
<div class="plotly html-widget html-fill-item-overflow-hidden html-fill-item" id="htmlwidget-cf76a2594faac80a0aad" style="width:522px;height:432px;"></div>
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Tegel), Buddestr. ggü. 12 (0-24 Uhr)","Göschenplatz, Oranienburger Str. 184-185 (0-24 Uhr)","Alt-Tegel 1-3 (0-24 Uhr)","Greenwichpromenade   (0-24 Uhr)","Letteplatz, Letteallee ggü. 46 (0-24 Uhr)","Schäfersee, Am Schäfersee   (0-24 Uhr)","Senftenberger Ring   (0-24 Uhr)","Freizeitpark Tegel an der Malche, Campestr.  hinter 11 (0-24 Uhr)","Franz-Neumann-Platz, Pankower Allee ggü. 1 (0-24 Uhr)","Schäfersee , Am Schäfersee ggü. 1 (7-22 Uhr)","Berliner Str. 105-106 (0-24 Uhr)","Flughafensee Tegel , Schwarzer Weg (0-24 Uhr)","Schwarzer Weg (0-24 Uhr)","Schwarzer Weg 71 (0-24 Uhr)","Flughafensee Tegel (Bernauer/Sterkraderstr.)","Franz-Neumann-Platz"],"type":"scattermapbox","mode":"markers","name":"Reinickendorf","marker":{"color":"rgba(227,119,194,1)","size":[55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55],"sizemode":"area","line":{"color":"rgba(227,119,194,1)"}},"textfont":{"size":55},"line":{"color":"rgba(227,119,194,1)","width":55},"frame":null},{"lat":[52.536254190000001,52.544472220000003,52.561666670000001],"lon":[13.294020339999999,13.238277780000001,13.246527779999999],"hoverinfo":["text+name","text+name","text+name"],"hovertext":["Kurt-Schumacher-Damm   (0-24 Uhr)","Haselhorster Damm 23 (0-24 Uhr)","Im Saatwinkel (0-24 Uhr)"],"type":"scattermapbox","mode":"markers","name":"Spandau","marker":{"color":"rgba(127,127,127,1)","size":[55,55,55],"sizemode":"area","line":{"color":"rgba(127,127,127,1)"}},"textfont":{"size":55},"line":{"color":"rgba(127,127,127,1)","width":55},"frame":null},{"lat":[52.45358117,52.442342869999997,52.430962000000001,52.427695999999997,52.451008510000001,52.438957639999998,52.430901890000001,52.45855306,52.41756857,52.450683589999997,52.432159730000002,52.435233670000002,52.448933400000001,52.450907180000002,52.442666670000001,52.421472219999998,52.454583329999998,52.434805560000001,52.429388889999998,52.432416670000002,52.440440000000002,52.413632929999999,52.423442510000001,52.458623230000001],"lon":[13.24057481,13.24017109,13.259629,13.326157,13.33620516,13.343115239999999,13.30931569,13.349105720000001,13.30486876,13.34281826,13.347763130000001,13.274649650000001,13.25176639,13.269614779999999,13.31208333,13.17622222,13.189888890000001,13.165055560000001,13.129416669999999,13.14322222,13.21491,13.14164789,13.29633709,13.34214946],"hoverinfo":["text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name"],"hovertext":["Krumme Lanke, Quermatenweg   (0-24 Uhr)","Argentinische Allee (0-24 Uhr)","S-Bhf. 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(0-24 Uhr)","Wannsee , Rönnebypromenade (07-22 Uhr)","Havelchaussee (0-24 Uhr)","Heckeshorn , Uferweg (0-24 Uhr)","Uferpromenade (0-24 Uhr)","Uferpromenade (0-24 Uhr)","Pfaueninselchaussee Rettungsstation Jagen 97","Friedenstr. 8-10, 14109 Berlin","Thuner Platz 2-4 (Friedhof), 12205 Berlin","Bergstr. 38 (Friedhof), 12169 Berlin"],"type":"scattermapbox","mode":"markers","name":"Steglitz-Zehlendorf","marker":{"color":"rgba(188,189,34,1)","size":[55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55],"sizemode":"area","line":{"color":"rgba(188,189,34,1)"}},"textfont":{"size":55},"line":{"color":"rgba(188,189,34,1)","width":55},"frame":null},{"lat":[52.459607640000002,52.481146000000003,52.44015873,52.484325159999997,52.484240319999998,52.49385169,52.413498439999998,52.387778779999998,52.439752310000003,52.455911389999997,52.42251984,52.478675580000001,52.494878,52.386517849999997,52.444383190000003,52.470272999999999,52.480497,52.492757949999998,52.449873599999997,52.49715432,52.462518719999998,52.487954260000002,52.396914510000002,52.482408190000001,52.463965000000002,52.496170999999997,52.491318919999998,52.438695000000003,52.484798900000001,52.463987979999999,52.466001470000002,52.46244695,52.394338449999999,52.471299999999999],"lon":[13.366474159999999,13.363288000000001,13.387912180000001,13.352811880000001,13.386832419999999,13.366914120000001,13.36315439,13.41016173,13.39209928,13.37599736,13.371097750000001,13.343471279999999,13.353622189999999,13.39849866,13.385666390000001,13.385392,13.336930000000001,13.3690377,13.36653677,13.36693678,13.41822526,13.3453017,13.396124609999999,13.34670603,13.377623,13.355022999999999,13.36586194,13.386907000000001,13.3440247,13.378241340000001,13.385260990000001,13.38600654,13.405554110000001,13.38677],"hoverinfo":["text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name"],"hovertext":["Friedhof Eythstr., Eythst. 1-25 (7-19 Uhr)","Leuthener Platz , Naumannstr. (0-24 Uhr)","Alt-Mariendorf 33 (0-24 Uhr)","Hauptstr. 128 (0-24 Uhr)","Platz der Luftbrücke, Tempelhofer Damm (0-24 Uhr)","Bülowstr. ggü. 49 (0-24 Uhr)","Marienfelder Allee 144-146 (0-24 Uhr)","Im Domstift   (0-24 Uhr)","Am Heidefriedhof, Reißeckstr. 14 (0-24 Uhr)","Attilaplatz, Attilastr. ggü. 176 (0-24 Uhr)","Hranitzkistr.   (0-24 Uhr)","Innsbrucker Platz   (0-24 Uhr)","Winterfeldtplatz, Hohenstaufenstr. 1 (0-24 Uhr)","Briesingstr. ggü. 1 (0-24 Uhr)","Mariendorfer Damm 90 (0-24 Uhr)","S-u. U-Bhf. Tempelhof, Tempelhofer Damm 108 (0-24 Uhr)","Hans-Rosenthal-Platz , Kufsteiner Str.   (0-24 Uhr)","Max.-Kraft-Platz, Katzlerstr. ggü. 20 (0-24 Uhr)","Röblingstr. 161 (0-24 Uhr)","Dennewitzplatz, Dennewitzstr. ggü. 22 (0-24 Uhr)","Holzmannstr. ggü. 23 (0-24 Uhr)","Wartburgplatz, Martin-Luther-Str.   (0-24 Uhr)","Barnetstr. ggü. 54 (0-24 Uhr)","Dominicusstr. 16-18 (0-24 Uhr)","Bosepark, Manteuffelstr. ggü. 9 (0-24 Uhr)","Winterfeldtplatz, Gleditschstr. vor 5 (0-24 Uhr)","Crellemarkt, Großgörschenstr. ggü. 31 (0-24 Uhr)","Friedenstr. (0-24 Uhr)","Rathaus Schöneberg,  John-F.-Kennedy-Platz","BDG Manteuffelstraße 63 12103 Berlin","Pächter der Gewerbeeinheit -  (Alt-Tempelhof 21,  12103 Berlin) während der Öffnungszeiten","Rathaus Tempelhof, Tempelhofer Damm 165","Gemeinschaftshaus Lichtenrade Barnetstraße 11, 12305 Berlin","Tempelhofer Feld"],"type":"scattermapbox","mode":"markers","name":"Tempelhof-Schöneberg","marker":{"color":"rgba(23,190,207,1)","size":[55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55,55],"sizemode":"area","line":{"color":"rgba(23,190,207,1)"}},"textfont":{"size":55},"line":{"color":"rgba(23,190,207,1)","width":55},"frame":null},{"lat":[52.474071899999998,52.453691169999999,52.458846870000002,52.434429999999999,52.47758451,52.470312499999999,52.479913349999997,52.478802000000002,52.467862109999999,52.473989179999997,52.446494970000003,52.473714139999998,52.48886023,52.466167660000004,52.433990199999997,52.445326180000002,52.482874000000002,52.471555559999999,52.443179999999998,52.445753420000003,52.444095830000002,52.446696969999998,52.406628949999998,52.47681,52.470190000000002],"lon":[13.445384880000001,13.509342719999999,13.580219120000001,13.539260000000001,13.421999250000001,13.46431748,13.428412099999999,13.438141,13.431458320000001,13.44937242,13.562840080000001,13.438905760000001,13.43904128,13.43685584,13.52014861,13.57381067,13.438238999999999,13.441388890000001,13.54731,13.5748506,13.57494932,13.584514909999999,13.675072350000001,13.41755,13.41766],"hoverinfo":["text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name","text+name"],"hovertext":["Richardplatz 17 (0-24 Uhr)","Sterndamm 8-10 (0-24 Uhr)","S-Bhf. Köpenick, Stellingdamm ggü. 1 (0-24 Uhr)","Rudower Chaussee 1-3 (0-24 Uhr)","Schillerpromenade 37 (0-24 Uhr)","Sonnenallee 262 (0-24 Uhr)","Boddinplatz, Mainzer Str.   (0-24 Uhr)","Alfred-Scholz-Platz, Richardstr. 1 (0-24 Uhr)","Siegfriedstr. ggü. 23 (0-24 Uhr)","Böhmischer Platz, Böhmische Str. ggü. 45 (0-24 Uhr)","Ottomar-Geschke-Str. ggü. 49 (0-24 Uhr)","Thomashöhe, Thomasstr. ggü. 11-15 (0-24 Uhr)","Weichselstr.  ggü. 34 (0-24 Uhr)","Kranoldplatz, Bendastr.   (0-24 Uhr)","Hermann-Dorner-Allee   (0-24 Uhr)","Alt-Köpenick vor 32 (0-24 Uhr)","Elbestr. 39 (7-22 Uhr)","Kirchhofstr. 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</div>
]

---
class: custom-slide

# Plotly-Dash
### Step 2: Input and Output Components
Let's create our first [Dash Core Components](https://dash.plotly.com/r/dash-core-components) to interact with our Plotly scatter map!
* Input: a `dccChecklist` to filter among free and paid toilets
* Output: just a placeholder `dccGraph` that can hold any Plotly figure

.pull-left[

```r
#Input: dccChecklist (interactive)
price_options <- c(unique(toilets$Free))
price_filter <- dccChecklist(
 id = 'price-filter',
 options = price_options,
 value = price_options #default, choose all
)
```
]

.pull-right[

```r
#Output: dccGraph (Plotly figures)
toilets_map <- dccGraph(id = 'toilets-map')
```
]

---
class: custom-slide

# Plotly-Dash
### Step 3: Callbacks
Dash interaction is driven by [callbacks](https://dash.plotly.com/r/basic-callbacks) which require input and output component(s), and a callback function that links them.

.pull-left[

```r
app |> add_callback(
  output('toilets-map', 'figure'),
  input('price-filter', 'value'),
  function(price_input) {
    toilets_filtered <- toilets |>
      filter(Free %in% price_input)
    fig = toilets_filtered |>
      filter(District != "NA") |>
      plot_ly(lat = ~Latitude, lon = ~Longitude, type = "scattermapbox",
              split = ~District, size = 5,
              hoverinfo = "text+name", hovertext = ~Street) |>
      layout(
        title = "Berlin public toilets",
        mapbox = list(
          style = 'open-street-map',
          zoom = 9,
          center = list(lat = ~median(Latitude), lon = ~median(Longitude)))
      )
    return(fig) #not needed but just to be explicit
  }
)
```
]

.pull-right[
<br>
◀️ 1. Specify the interactive `input`, `output` components<br>
◀️ 2. Write a function that triggers on any `input` change<br>
◀️ 3. Filter the dataset based on `price_input`<br><br><br>
◀️ 4. Call the same Plotly `scattermapbox`<br>
<br><br><br><br><br><br>
◀️ 5. Return the output figure to fill in the placeholder `dccGraph` from step #2
]

---
class: custom-slide

# Plotly-Dash
### Step 4: Layout and Run
Now we put it alll together for the App display [layout](https://dash.plotly.com/r/layout) using standard HTML components, and finally run the App to your browser.

.pull-left[

```r
layout_elements <- list(
  h1("IDS Workshop - Plotly-Dash presentation"),
  div("Using the Berlin Public Toilets dataset to learn Scatter Map functionality."),
  br(),
  div("Cost filter:"),
  price_filter,
  br(),
  toilets_map
)

#4 Main app
app |> set_layout(layout_elements)
app |> run_app()
```
]

.pull-right[
![Alt text describing the GIF](https://raw.githack.com/intro-to-data-science-23-workshop/10-plotlydash-coppola-shejwal-chen/main/others/gif%20dash.gif)
]

---
class: inverse, center, middle, custom-hr
name: thank you

# Thank you!

p.s. this is how public toilets in Berlin look like...

<br>

Now... interactive tutorial!

You find the .Rmd file in the repository. Download it and open it in your R Studio, so that you can follow us directly and complete the exercises we prepared for you directly there!

<br>