Advanced data visualization with R Workshop Day 2

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 These slides are viewed best by Chrome and occasionally need to be refreshed if elements did not load properly. See here for <a href=day2-session1.pdf>PDF </a>. 
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# Advanced data visualization with R Workshop Day 2

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## Lesson 1: Overview of tools for interactive plots

Presented by Di Cook

Department of Econometrics and Business Statistics

<img src="images/monash-one-line-reversed.png" style="width:500px"> 
 dicook@monash.edu
 @visnut

.bottom_abs.width100.bg-black[
8-9th Dec 2021 @ Statistical Society of Australia | Zoom
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# Click me: https://ebsmonash.shinyapps.io/VICfire/

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# Landscape of interactive plotting packages

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# Applying interactivity

.top10-color-box[The purpose of interactivity is to display more than can be achieved with persistent plot elements, and to invite the reader to engage with the plot.]
--

- .monash-blue2[Pan/zoom] allows .monash-blue2[re-focusing] attention EASY

- .monash-blue2[Selection] allows .monash-blue2[focusing] attention MODERATE
 
- .monash-blue2[Linking] connects elements from multiple plots DIFFICULT

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- .monash-blue2[Sorting] .monash-blue2[re-orders elements], most useful for tables EASY

- .monash-blue2[Transforming] may be changing bin sizes in a histogram, or applying a log scale, or using a "fish eye lens" DIFFICULT & RARE

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# Direct manipulation vs GUI

## Direct manipulation

When these actions

- .monash-blue2[Mouse-over] 
- .monash-blue2[Pan/zoom] 
- .monash-blue2[Selection] 
- .monash-blue2[Linking] 
- .monash-blue2[Sorting] 
- .monash-blue2[Transforming]

are taken by the user .monash-orange2[directly on the plot] itself.
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Elements of the plot changes are made using GUI items like sliders, checkboxes, menus

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# Getting hands-on with plotly

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# What is plotly?

`plotly.js` is a javascript plotting library. `plotly` is an R package with a key function `ggplotly()` that converts ggplot objects into a JSON object to be rendered in a web browser by `plotly.js`.

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# Palmer penguins

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<div class="tag center animated rubberBand" style="position:absolute;top:2%;left:12%;transform:rotate(-3deg);">
demo data for today
</div>

---
# Layering interactivity to a ggplot

```r
p <- ggplot(penguins, 
 aes(x = bill_length_mm, 
 y = bill_depth_mm, 
 color = species)) +
 geom_point()

*ggplotly(p)
```
]

]
.right-plot[

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]

---
# Aspect ratio, and remove legend

```r
p2 <- ggplot(penguins, 
 aes(x = bill_length_mm, 
 y = bill_depth_mm, 
 color = species)) +
 geom_point() +
* theme(legend.position="none",
* aspect.ratio=1)

ggplotly(p2) 
```
]

]
.right-plot[

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]

---
# Fix aspect ratio with ggplotly argument

```r
p3 <- ggplot(penguins, 
 aes(x = bill_length_mm, 
 y = bill_depth_mm, 
 color = species)) +
 geom_point() +
 theme(legend.position="none", 
 aspect.ratio=1)

*ggplotly(p3, width=500, height=500)
```
]

]
.right-plot[

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# plotly features

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]
.pull-right[

<center>
 
pan/zoom

legend click

brush 
</center>

]
---
# Most but not all ggplot features are supported

```r
p5 <- p3 + 
* facet_wrap(~species)

ggplotly(p5, width=550, height=250)
```

```r
p6 <- p3 + 
 scale_color_brewer(
* palette = "Dark2") +
* theme_bw()

ggplotly(p6, width=400, height=300)
```

]
]

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]
---
# Most ggplot2 extensions mostly work

```r
library(GGally)
penguins_l <- penguins %>%
 rename(bl = bill_length_mm,
 bd = bill_depth_mm,
 fl = flipper_length_mm,
 bm = body_mass_g)
*splom <- ggpairs(penguins_l,
 columns = 3:6, 
 aes(color = species)) +
 theme(axis.text = element_blank())

ggplotly(splom, width=500, height=500)
```
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]
---
# Multiple plotly plots with subplot

A layout of different plots

```r
p_h <- ggplot(penguins, 
 aes(x = body_mass_g)) +
 geom_histogram()

gp_h <- ggplotly(p_h)
gp_s <- ggplotly(p3)

*subplot(gp_h,
        gp_s, 
        titleX = TRUE, 
        titleY = TRUE,
*       margin=c(0.06, 0.06, 0, 0),
        nrows = 1)
```
]
]
.right-plot[

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]

---
# Tooltips can be customised

```r
p_tooltip <- p3 + 
* geom_point(aes(text = island))

ggplotly(p_tooltip, 
         width=300, height=300)
```

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]]

```r
ggplotly(p_tooltip, 
*        tooltip = "text",
         width=300, height=300) 
```

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]]

---
# Events can be turned off

```r
ggplotly(p3, width=400, height=400) %>% 
* style(hoverinfo = "none")
```

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]]

---
# Events can be propagated

```r
ggplotly(splom, 
         width=500, height=500) %>% 
* highlight(on = "plotly_selected")
```

]

This is also a first example of .monash-blue2[linking between plots].

]
.pull-right[

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---

# How linking works here

---
class: transition middle

# Interactive maps

---
# Tips for mapping

.top10-color-box[For data analysis, maps are a set of points, connected correctly to generate polygons.]

Note: It is important when converting spatial objects from a mapping software to a data analysis project is .monash-blue2["thinning" the map] to make it smaller and efficient to work with. See the `rmapshapr` package to help with this.

---
# Maps operate with tooltips, too

```r
library(sugarbag)
library(ggthemes)
tas_tb <- fortify_sfc(tas_sa2) 
tas_map <- ggplot(tas_tb, 
 mapping = aes(x=long, lat, 
 group = interaction(SA2_5DIG16, 
 polygon), 
 fill = AREASQKM16), 
 colour="white") +
 geom_polygon(aes(text = SA2_NAME16)) +
 scale_fill_distiller("", 
 palette="YlGnBu", direction=1) + 
 theme_map()
```

]]

.right-plot[
<img src="images/day2-session1/unnamed-chunk-13-1.png" width="100%" style="display: block; margin: auto;" />
]

---

```r
ggplotly(tas_map + 
           theme(legend.position="none"), 
         tooltip = "text")
```

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]]

```r
ggplotly(tas_map + 
           theme(legend.position="none"), 
         tooltip = c("text", "fill"))
```

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East","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"transparent","dash":"solid"},"fill":"toself","fillcolor":"rgba(12,44,132,1)","hoveron":"fills","showlegend":false,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null}],"layout":{"margin":{"t":20.4831880448319,"r":5.97758405977584,"b":7.4719800747198,"l":8.96637608966376},"font":{"color":"rgba(0,0,0,1)","family":"","size":11.9551681195517},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[143.585126255,148.732652045],"tickmode":"array","ticktext":["144","145","146","147","148"],"tickvals":[144,145,146,147,148],"categoryorder":"array","categoryarray":["144","145","146","147","148"],"nticks":null,"ticks":"","tickcolor":null,"ticklen":2.98879202988792,"tickwidth":0,"showticklabels":false,"tickfont":{"color":null,"family":null,"size":0},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":false,"gridcolor":null,"gridwidth":0,"zeroline":false,"anchor":"y","title":{"text":"","font":{"color":null,"family":null,"size":0}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-43.967315895,-38.976961405],"tickmode":"array","ticktext":["-43","-42","-41","-40","-39"],"tickvals":[-43,-42,-41,-40,-39],"categoryorder":"array","categoryarray":["-43","-42","-41","-40","-39"],"nticks":null,"ticks":"","tickcolor":null,"ticklen":2.98879202988792,"tickwidth":0,"showticklabels":false,"tickfont":{"color":null,"family":null,"size":0},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":false,"gridcolor":null,"gridwidth":0,"zeroline":false,"anchor":"x","title":{"text":"","font":{"color":null,"family":null,"size":0}},"hoverformat":".2f"},"shapes":[{"type":"rect","fillcolor":null,"line":{"color":null,"width":0,"linetype":[]},"yref":"paper","xref":"paper","x0":0,"x1":1,"y0":0,"y1":1}],"showlegend":false,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.546170365068,"font":{"color":"rgba(0,0,0,1)","family":"","size":9.56413449564135}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"48841cccbc90":{"x":{},"y":{},"fill":{},"text":{},"type":"scatter"}},"cur_data":"48841cccbc90","visdat":{"48841cccbc90":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.2,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script>
]]

---
# Maps with leaflet

```r
library(leaflet)
leaflet(tas_sa2) %>%
* addPolygons(color = "#444444",
              weight = 1, 
              smoothFactor = 0.5,
    opacity = 1.0, fillOpacity = 0.5,
    fillColor = ~colorQuantile("YlGnBu",
          c(0, max(AREASQKM16)))(AREASQKM16),
*   highlightOptions = highlightOptions(
      color = "white", weight = 2,
      bringToFront = TRUE))
```
]
]

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]

---

```r
tas_labels <- sprintf(
 "%s %g km2",
 tas_sa2$SA2_NAME16, tas_sa2$AREASQKM16
) %>% lapply(htmltools::HTML)

leaflet(tas_sa2) %>%
  addPolygons(color = "#444444", 
              weight = 1, 
              smoothFactor = 0.5,
    opacity = 1.0, fillOpacity = 0.5,
    fillColor = ~colorQuantile("YlGnBu",
          c(0, max(AREASQKM16)))(AREASQKM16),
    highlightOptions = highlightOptions( 
      color = "white", weight = 2,
      bringToFront = TRUE),
*   label = tas_labels,
    labelOptions = labelOptions(
      style = list("font-weight" = "normal",
                   padding = "3px 8px"),
    textsize = "15px",
    direction = "auto"))
```
]]

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- Gagebrook<\/strong> 55.7463 km2<\/sup>","Brighton - Pontville<\/strong> 88.7598 km2<\/sup>","Old Beach - Otago<\/strong> 31.5716 km2<\/sup>","Bellerive - Rosny<\/strong> 4.7182 km2<\/sup>","Cambridge<\/strong> 101.707 km2<\/sup>","Geilston Bay - Risdon<\/strong> 8.7147 km2<\/sup>","Howrah - Tranmere<\/strong> 9.4115 km2<\/sup>","Lindisfarne - Rose Bay<\/strong> 7.9978 km2<\/sup>","Mornington - Warrane<\/strong> 8.2145 km2<\/sup>","Risdon Vale<\/strong> 35.4878 km2<\/sup>","Rokeby<\/strong> 15.4231 km2<\/sup>","South Arm<\/strong> 74.2672 km2<\/sup>","Austins Ferry - Granton<\/strong> 27.3675 km2<\/sup>","Berriedale - Chigwell<\/strong> 34.0496 km2<\/sup>","Claremont (Tas.)<\/strong> 17.9226 km2<\/sup>","Derwent Park - Lutana<\/strong> 4.9191 km2<\/sup>","Glenorchy<\/strong> 10.4597 km2<\/sup>","Montrose - Rosetta<\/strong> 5.7328 km2<\/sup>","Moonah<\/strong> 2.794 km2<\/sup>","New Norfolk<\/strong> 63.264 km2<\/sup>","West Moonah<\/strong> 1.7726 km2<\/sup>","Kingston - Huntingfield<\/strong> 61.8202 km2<\/sup>","Kingston Beach - Blackmans Bay<\/strong> 22.2736 km2<\/sup>","Margate - Snug<\/strong> 146.233 km2<\/sup>","Mount Wellington<\/strong> 90.163 km2<\/sup>","Taroona - Bonnet Hill<\/strong> 8.0166 km2<\/sup>","Hobart<\/strong> 6.6157 km2<\/sup>","Lenah Valley - Mount Stuart<\/strong> 9.8086 km2<\/sup>","Mount Nelson - Dynnyrne<\/strong> 7.9217 km2<\/sup>","New Town<\/strong> 3.822 km2<\/sup>","Sandy Bay<\/strong> 6.9463 km2<\/sup>","South Hobart - Fern Tree<\/strong> 23.4873 km2<\/sup>","West Hobart<\/strong> 3.623 km2<\/sup>","Dodges Ferry - Lewisham<\/strong> 318.392 km2<\/sup>","Sorell - Richmond<\/strong> 375.934 km2<\/sup>","Invermay<\/strong> 4.0281 km2<\/sup>","Kings Meadows - Punchbowl<\/strong> 5.7589 km2<\/sup>","Launceston<\/strong> 5.2803 km2<\/sup>","Legana<\/strong> 33.6971 km2<\/sup>","Mowbray<\/strong> 9.2817 km2<\/sup>","Newnham - Mayfield<\/strong> 23.5924 km2<\/sup>","Newstead<\/strong> 3.6874 km2<\/sup>","Norwood (Tas.)<\/strong> 3.9851 km2<\/sup>","Prospect Vale - Blackstone<\/strong> 17.7443 km2<\/sup>","Ravenswood<\/strong> 10.0147 km2<\/sup>","Riverside<\/strong> 48.3143 km2<\/sup>","South Launceston<\/strong> 2.7762 km2<\/sup>","Summerhill - Prospect<\/strong> 8.8067 km2<\/sup>","Trevallyn<\/strong> 9.7181 km2<\/sup>","Waverley - St Leonards<\/strong> 55.1274 km2<\/sup>","West Launceston<\/strong> 3.9642 km2<\/sup>","Youngtown - Relbia<\/strong> 14.9319 km2<\/sup>","Beauty Point - Beaconsfield<\/strong> 259.175 km2<\/sup>","Deloraine<\/strong> 2521.15 km2<\/sup>","Grindelwald - Lanena<\/strong> 344.849 km2<\/sup>","Hadspen - Carrick<\/strong> 174.702 km2<\/sup>","Westbury<\/strong> 679.08 km2<\/sup>","Dilston - Lilydale<\/strong> 1274.07 km2<\/sup>","George Town<\/strong> 747.168 km2<\/sup>","Longford<\/strong> 222.543 km2<\/sup>","Northern Midlands<\/strong> 4763.63 km2<\/sup>","Perth - Evandale<\/strong> 226.77 km2<\/sup>","St Helens - Scamander<\/strong> 3299.15 km2<\/sup>","Flinders and Cape Barren Islands<\/strong> 1996.62 km2<\/sup>","Scottsdale - Bridport<\/strong> 3205.71 km2<\/sup>","Central Highlands<\/strong> 7185.46 km2<\/sup>","Derwent Valley<\/strong> 1289.95 km2<\/sup>","Southern Midlands<\/strong> 2600.26 km2<\/sup>","Wilderness - East<\/strong> 7351.06 km2<\/sup>","Bruny Island - Kettering<\/strong> 443.458 km2<\/sup>","Cygnet<\/strong> 239.453 km2<\/sup>","Geeveston - Dover<\/strong> 827.814 km2<\/sup>","Huonville - Franklin<\/strong> 681.95 km2<\/sup>","Forestier - Tasman<\/strong> 660.395 km2<\/sup>","Triabunna - Bicheno<\/strong> 2542.21 km2<\/sup>","Acton - Upper Burnie<\/strong> 2.1455 km2<\/sup>","Burnie - Ulverstone Region<\/strong> 1364.25 km2<\/sup>","Burnie - Wivenhoe<\/strong> 11.447 km2<\/sup>","Parklands - Camdale<\/strong> 19.5337 km2<\/sup>","Penguin - Sulphur Creek<\/strong> 64.157 km2<\/sup>","Romaine - Havenview<\/strong> 11.8537 km2<\/sup>","Somerset<\/strong> 26.8891 km2<\/sup>","Ulverstone<\/strong> 27.4924 km2<\/sup>","West Ulverstone<\/strong> 18.0639 km2<\/sup>","Wynyard<\/strong> 58.6445 km2<\/sup>","Devonport<\/strong> 10.2768 km2<\/sup>","East Devonport<\/strong> 13.2324 km2<\/sup>","Latrobe<\/strong> 215.334 km2<\/sup>","Miandetta - Don<\/strong> 23.0743 km2<\/sup>","Port Sorell<\/strong> 362.964 km2<\/sup>","Quoiba - Spreyton<\/strong> 28.585 km2<\/sup>","Sheffield - Railton<\/strong> 1156.5 km2<\/sup>","Turners Beach - Forth<\/strong> 84.3944 km2<\/sup>","King Island<\/strong> 1095.74 km2<\/sup>","North West<\/strong> 4766.26 km2<\/sup>","Smithton<\/strong> 91.3094 km2<\/sup>","Waratah<\/strong> 3489.47 km2<\/sup>","West Coast (Tas.)<\/strong> 3931.63 km2<\/sup>","Wilderness - West<\/strong> 5651.91 km2<\/sup>"],{"interactive":false,"permanent":false,"direction":"auto","opacity":1,"offset":[0,0],"textsize":"15px","textOnly":false,"style":{"font-weight":"normal","padding":"3px 8px"},"className":"","sticky":true},{"color":"white","weight":2,"bringToFront":true}]}],"limits":{"lat":[-43.7404816,-39.2037957],"lng":[143.8191047,148.4986736]}},"evals":[],"jsHooks":[]}</script>
]

---

# Reflection on leaflet

fast, scalable, reliable

many map formats

]
--

specialist syntax

limited capabilities

map is fast but overlays, like polygons are slow
]

---
# Maps as background: leaflet

```r
load(here::here("data/platypus.rda"))
platypus <- platypus %>%
 filter(year(eventDate) > 2018) 
platypus %>%
 leaflet() %>%
* addTiles() %>%
* addCircleMarkers(
 radius = 1, opacity = 0.5, 
 color = "orange", 
* label = ~eventDate,
* lat = ~Latitude, lng = ~Longitude)
```
]
]

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]

---
# Maps as background: ggmap/plotly

```r
# Use ggmap::get_map() to download an OSM
load(here::here("data/oz_map.rda"))
p <- ggmap(oz_map) + 
 geom_point(data = platypus, 
 aes(x = Longitude, 
 y = Latitude, 
 label=eventDate), 
 alpha = 0.5, 
 colour = "orange") + 
 theme_map()
*ggplotly(p, tooltip = "label")
```
]

]

.right-plot[
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","layer":"below","xref":"x","yref":"y","x":112.9,"xanchor":"left","sizex":46.1,"y":-45,"yanchor":"bottom","sizey":35,"sizing":"stretch"}],"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[112.9,159],"tickmode":"array","ticktext":["120","130","140","150"],"tickvals":[5644.9,6105.9,6566.9,7027.9],"categoryorder":"array","categoryarray":["120","130","140","150"],"nticks":null,"ticks":"","tickcolor":null,"ticklen":2.98879202988792,"tickwidth":0,"showticklabels":false,"tickfont":{"color":null,"family":null,"size":0},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":false,"gridcolor":null,"gridwidth":0,"zeroline":false,"anchor":"y","title":{"text":"","font":{"color":null,"family":null,"size":0}},"scaleanchor":"y","scaleratio":1,"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-45,-1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]
---
class: transition middle

# Interactive tables

---
class: font_smaller

# Tables with DT

```r
penguins %>% 
  DT::datatable(width=1150, height=100)
```

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]
---
class: middle

More details of `reactable` can be found at https://glin.github.io/reactable/index.html

The appearance and display elements in the tables can be modified extensively.

---
class: transition middle

# Summary

We've learned basics of interactive plots, primarily using `plotly`.

Keep in mind the variety in types of interactions.

---
# Think about

Interactive plots can be for two very different purposes.

We are yet to understand what the data says. Make available as much of the data as possible, and range of interactions.

]
.pull-right[
# Explanatory

We understand the data, and we have identified the key findings that can be communicated to the audience. Here you can optimise the choice of interactions for the best communication.

]
---

# Open `day2-exercise-01.Rmd`

---
# Learning more

- Sievert (2019) [Interactive web-based data visualization with R, plotly, and shiny](https://plotly-r.com)
- Fidan (2020) [Guide to Creating Interactive Maps in R](https://bookdown.org/eneminef/DRR_Bookdown/)
- [RStudio's htmlwidgets gallery](http://gallery.htmlwidgets.org)
- [RStudio's crosstalk guide](https://rstudio.github.io/crosstalk/)
- R interface to javascript library DataTables, [DT](https://rstudio.github.io/DT/)
- Interactive data tables for R, based on React,  [reactable](https://glin.github.io/reactable/index.html)

---

# Session Information

.overflow-scroll.h-80[

```r
devtools::session_info()
```

```
## ─ Session info ───────────────────────────────────────────────────────────────
##  setting  value                       
##  version  R version 4.1.0 (2021-05-18)
##  os       macOS Big Sur 10.16         
##  system   x86_64, darwin17.0          
##  ui       X11                         
##  language (EN)                        
##  collate  en_AU.UTF-8                 
##  ctype    en_AU.UTF-8                 
##  tz       Australia/Melbourne         
##  date     2021-12-09                  
## 
## ─ Packages ───────────────────────────────────────────────────────────────────
##  package        * version     date       lib
##  anicon           0.1.0       2021-07-14 [1]
##  assertthat       0.2.1       2019-03-21 [1]
##  backports        1.2.1       2020-12-09 [1]
##  base64enc        0.1-3       2015-07-28 [1]
##  bitops           1.0-7       2021-04-24 [1]
##  broom            0.7.9       2021-07-27 [1]
##  bslib            0.3.1       2021-10-06 [1]
##  cachem           1.0.6       2021-08-19 [1]
##  callr            3.7.0       2021-04-20 [1]
##  cellranger       1.1.0       2016-07-27 [1]
##  class            7.3-19      2021-05-03 [1]
##  classInt         0.4-3       2020-04-07 [1]
##  cli              3.1.0       2021-10-27 [1]
##  colorspace       2.0-2       2021-06-24 [1]
##  countdown        0.3.5       2021-07-14 [1]
##  crayon           1.4.2       2021-10-29 [1]
##  crosstalk      * 1.2.0       2021-11-04 [1]
##  data.table       1.14.2      2021-09-27 [1]
##  DBI              1.1.1       2021-01-15 [1]
##  dbplyr           2.1.1       2021-04-06 [1]
##  desc             1.4.0       2021-09-28 [1]
##  devtools         2.4.2       2021-06-07 [1]
##  digest           0.6.28      2021-09-23 [1]
##  dplyr          * 1.0.7.9000  2021-11-30 [1]
##  DT             * 0.20        2021-11-15 [1]
##  e1071            1.7-9       2021-09-16 [1]
##  ellipsis         0.3.2       2021-04-29 [1]
##  evaluate         0.14        2019-05-28 [1]
##  fansi            0.5.0       2021-05-25 [1]
##  farver           2.1.0       2021-02-28 [1]
##  fastmap          1.1.0       2021-01-25 [1]
##  forcats        * 0.5.1       2021-01-27 [1]
##  fs               1.5.0       2020-07-31 [1]
##  generics         0.1.1       2021-10-25 [1]
##  geosphere        1.5-10      2019-05-26 [1]
##  GGally         * 2.1.2       2021-06-21 [1]
##  ggmap          * 3.0.0       2019-02-05 [1]
##  ggplot2        * 3.3.5       2021-06-25 [1]
##  ggthemes       * 4.2.4       2021-01-20 [1]
##  glue             1.5.0       2021-11-07 [1]
##  gtable           0.3.0       2019-03-25 [1]
##  haven            2.4.1       2021-04-23 [1]
##  here             1.0.1       2020-12-13 [1]
##  highr            0.9         2021-04-16 [1]
##  hms              1.1.1       2021-09-26 [1]
##  htmltools        0.5.2       2021-08-25 [1]
##  htmlwidgets      1.5.4       2021-09-08 [1]
##  httr             1.4.2       2020-07-20 [1]
##  icon             0.1.0       2021-07-14 [1]
##  jpeg             0.1-9       2021-07-24 [1]
##  jquerylib        0.1.4       2021-04-26 [1]
##  jsonlite         1.7.2       2020-12-09 [1]
##  KernSmooth       2.23-20     2021-05-03 [1]
##  knitr            1.36        2021-09-29 [1]
##  labeling         0.4.2       2020-10-20 [1]
##  lattice          0.20-44     2021-05-02 [1]
##  lazyeval         0.2.2       2019-03-15 [1]
##  leaflet        * 2.0.4.1     2021-01-07 [1]
##  lifecycle        1.0.1       2021-09-24 [1]
##  lubridate      * 1.8.0       2021-10-07 [1]
##  magrittr         2.0.1       2020-11-17 [1]
##  memoise          2.0.1       2021-11-26 [1]
##  modelr           0.1.8       2020-05-19 [1]
##  munsell          0.5.0       2018-06-12 [1]
##  palmerpenguins * 0.1.0       2020-07-23 [1]
##  pillar           1.6.4       2021-10-18 [1]
##  pkgbuild         1.2.0       2020-12-15 [1]
##  pkgconfig        2.0.3       2019-09-22 [1]
##  pkgload          1.2.1       2021-04-06 [1]
##  plotly         * 4.10.0      2021-10-09 [1]
##  plyr             1.8.6       2020-03-03 [1]
##  png              0.1-7       2013-12-03 [1]
##  prettyunits      1.1.1       2020-01-24 [1]
##  processx         3.5.2       2021-04-30 [1]
##  progress         1.2.2       2019-05-16 [1]
##  proxy            0.4-26      2021-06-07 [1]
##  ps               1.6.0       2021-02-28 [1]
##  purrr          * 0.3.4       2020-04-17 [1]
##  R6               2.5.1       2021-08-19 [1]
##  RColorBrewer   * 1.1-2       2014-12-07 [1]
##  Rcpp             1.0.7       2021-07-07 [1]
##  reactable      * 0.2.3       2020-10-04 [1]
##  reactR           0.4.4       2021-02-22 [1]
##  readr          * 2.1.0       2021-11-11 [1]
##  readxl           1.3.1       2019-03-13 [1]
##  remotes          2.4.0       2021-06-02 [1]
##  reprex           2.0.0       2021-04-02 [1]
##  reshape          0.8.8       2018-10-23 [1]
##  RgoogleMaps      1.4.5.3     2020-02-12 [1]
##  rjson            0.2.20      2018-06-08 [1]
##  rlang            0.99.0.9001 2021-11-30 [1]
##  rmarkdown        2.11.3      2021-10-18 [1]
##  rprojroot        2.0.2       2020-11-15 [1]
##  rstudioapi       0.13        2020-11-12 [1]
##  rvest            1.0.1       2021-07-26 [1]
##  sass             0.4.0       2021-05-12 [1]
##  scales           1.1.1       2020-05-11 [1]
##  sessioninfo      1.1.1       2018-11-05 [1]
##  sf               1.0-4       2021-11-14 [1]
##  sp               1.4-6       2021-11-14 [1]
##  stringi          1.7.6       2021-11-29 [1]
##  stringr        * 1.4.0       2019-02-10 [1]
##  sugarbag       * 0.1.3       2020-10-26 [1]
##  testthat         3.0.4       2021-07-01 [1]
##  tibble         * 3.1.6       2021-11-07 [1]
##  tidyr          * 1.1.4       2021-09-27 [1]
##  tidyselect       1.1.1       2021-04-30 [1]
##  tidyverse      * 1.3.1       2021-04-15 [1]
##  tzdb             0.2.0       2021-10-27 [1]
##  units            0.7-2       2021-06-08 [1]
##  usethis          2.1.0       2021-10-16 [1]
##  utf8             1.2.2       2021-07-24 [1]
##  vctrs            0.3.8       2021-04-29 [1]
##  viridisLite      0.4.0       2021-04-13 [1]
##  whisker          0.4         2019-08-28 [1]
##  withr            2.4.2       2021-04-18 [1]
##  wordcloud      * 2.6         2018-08-24 [1]
##  xaringan         0.22        2021-06-23 [1]
##  xfun             0.28        2021-11-04 [1]
##  xml2             1.3.2       2020-04-23 [1]
##  yaml             2.2.1       2020-02-01 [1]
##  source                              
##  Github (emitanaka/anicon@0b756df)   
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  Github (gadenbuie/countdown@a544fa4)
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  Github (tidyverse/dplyr@3d61d99)    
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  Github (emitanaka/icon@8458546)     
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
##  Github (r-lib/rlang@5aefc4a)        
##  Github (rstudio/rmarkdown@ebf0d09)  
##  CRAN (R 4.1.0)                      
##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
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##  CRAN (R 4.1.0)                      
## 
## [1] /Library/Frameworks/R.framework/Versions/4.1/Resources/library
```
]

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