Data Analysis and Visualization

class: center, middle, inverse, title-slide

.title[
# Data Analysis and Visualization
]
.subtitle[
## Chapter 4. Advanced Visualization and Communication
]
.author[
### Iñaki Úcar
]
.institute[
### Department of Statistics | uc3m-Santander Big Data Institute
]
.institute[
### Bachelor in Data and Business Analytics
]
.date[
### Licensed under Creative Commons Attribution <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a> Last generated: 2025-09-06
]

---

class: base24

# Catalog of Graphs and Applications
.footnote[Based on [The R Graph Gallery](https://r-graph-gallery.com/)]

.pull-left[
- .distribution[[Distribution](ch3_1.html#3)].icons[
  ![:scale 10%](assets/img/section/Violin150.png)
  ![:scale 10%](assets/img/section/Density150.png)
  ![:scale 10%](assets/img/section/Histogram150.png)
  ![:scale 10%](assets/img/section/Box1150.png)
  ![:scale 10%](assets/img/section/Joyplot150.png)
  ]

- .correlation[[Correlation](ch3_2.html#3)].icons[
  ![:scale 10%](assets/img/section/ScatterPlot150.png)
  ![:scale 10%](assets/img/section/Heatmap150.png)
  ![:scale 10%](assets/img/section/Correlogram150.png)
  ![:scale 10%](assets/img/section/BubblePlot150.png)
  ![:scale 10%](assets/img/section/ScatterConnected150.png)
  ![:scale 10%](assets/img/section/2dDensity150.png)
  ]

- .ranking[[Ranking](ch3_3.html#3)].icons[
  ![:scale 10%](assets/img/section/Bar150.png)
  ![:scale 10%](assets/img/section/Spider150.png)
  ![:scale 10%](assets/img/section/Wordcloud150.png)
  ![:scale 10%](assets/img/section/Parallel1150.png)
  ![:scale 10%](assets/img/section/Lollipop150.png)
  ![:scale 10%](assets/img/section/CircularBarplot150.png)
  ]

- .part[[Part of a Whole](ch3_4.html#3)].icons[
  ![:scale 10%](assets/img/section/GroupedRed150.png)
  ![:scale 10%](assets/img/section/Tree150.png)
  ![:scale 10%](assets/img/section/Doughnut150.png)
  ![:scale 10%](assets/img/section/Pie150.png)
  ![:scale 10%](assets/img/section/Dendrogram150.png)
  ![:scale 10%](assets/img/section/CircularPacking150.png)
  ]
]
.pull-right[
- .evolution[[Evolution](ch3_5.html#3)].icons[
  ![:scale 10%](assets/img/section/Line150.png)
  ![:scale 10%](assets/img/section/Area150.png)
  ![:scale 10%](assets/img/section/StackedArea150.png)
  ![:scale 10%](assets/img/section/Stream150.png)
  ![:scale 10%](assets/img/section/Time150.gif)
  ]

- .map[[Map](ch3_6.html#3)].icons[
  ![:scale 10%](assets/img/section/Map150.png)
  ![:scale 10%](assets/img/section/Choropleth150.png)
  ![:scale 10%](assets/img/section/MapHexbin150.png)
  ![:scale 10%](assets/img/section/Cartogram150.png)
  ![:scale 10%](assets/img/section/ConnectedMap150.png)
  ![:scale 10%](assets/img/section/BubbleMap150.png)
  ]

- .flow[[Flow](ch3_7.html#3)].icons[
  ![:scale 10%](assets/img/section/Chord150.png)
  ![:scale 10%](assets/img/section/Network150.png)
  ![:scale 10%](assets/img/section/Sankey150.png)
  ![:scale 10%](assets/img/section/Arc150.png)
  ![:scale 10%](assets/img/section/Bundle150.png)
  ]

- .other[[Other resources](ch3_8.html#3)].icons[
  ![:scale 10%](assets/img/section/anim150.gif)
  ![:scale 10%](assets/img/section/Interactive150.png)
  ![:scale 10%](assets/img/section/Bad150.png)
  ![:scale 10%](assets/img/section/DataArt1150.png)
  ]
]

---
class: other

# Other Resources
.footnote[[< Contents](#2)]

[![:scale 15%](assets/img/section/anim150.gif)](https://r-graph-gallery.com/animation.html)
[![:scale 15%](assets/img/section/Interactive150.png)](https://r-graph-gallery.com/interactive-charts.html)
[![:scale 15%](assets/img/section/Bad150.png)](https://www.data-to-viz.com/caveats.html)
[![:scale 15%](assets/img/section/DataArt1150.png)](https://www.data-to-art.com/)

.bottom[Animation]
.bottom[Interactive]
.bottom[Caveats]
.bottom[Data Art]

.black.font120[
]

---
class: other

# Other Resources ![:scale 6%](assets/img/section/anim150.gif) Animation
.footnote[[< Contents](#2)]

.pull-left-mod[

``` r
ggplot(gapminder::gapminder) +
 aes(gdpPercap, lifeExp) +
 geom_point(aes(size=pop,
 color=continent),
 alpha=0.7) +
 scale_size(range=c(2, 12), guide=NULL) +
 scale_x_log10() +
 theme(legend.position=c(1, 0),
 legend.justification=c(1, 0)) +
* gganimate::transition_time(year) +
* gganimate::ease_aes("linear") +
* labs(title="Year: {frame_time}")
```
]
.pull-right-mod[
<img src="ch3_files/animation-1.gif" style="display: block; margin: auto;" />
]

---
class: other

# Other Resources ![:scale 6%](assets/img/section/Interactive150.png) Interactivity
.footnote[[< Contents](#2)]

.pull-left-mod[

``` r
ggplot(gapminder::gapminder) +
 aes(gdpPercap, lifeExp) +
 geom_point(aes(size=pop,
 color=continent),
 alpha=0.7) +
 scale_size(range=c(2, 12), guide=NULL) +
 scale_x_log10() +
 theme_gray(base_size=10) +
* aes(frame=year, text=country) -> p
*plotly::ggplotly(p) |>
 plotly::layout(legend=list(
 x=1, y=0, xanchor="right"))
```
]
.pull-right-mod[
<div class="plotly html-widget html-fill-item" id="htmlwidget-30e4409849e39179307f" style="width:100%;height:550px;"></div>
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1952 Guinea gdpPercap: 510.1965 lifeExp: 33.60900 pop: 2664249 continent: Africa","year: 1952 Guinea-Bissau gdpPercap: 299.8503 lifeExp: 32.50000 pop: 580653 continent: Africa","year: 1952 Kenya gdpPercap: 853.5409 lifeExp: 42.27000 pop: 6464046 continent: Africa","year: 1952 Lesotho gdpPercap: 298.8462 lifeExp: 42.13800 pop: 748747 continent: Africa","year: 1952 Liberia gdpPercap: 575.5730 lifeExp: 38.48000 pop: 863308 continent: Africa","year: 1952 Libya gdpPercap: 2387.5481 lifeExp: 42.72300 pop: 1019729 continent: Africa","year: 1952 Madagascar gdpPercap: 1443.0117 lifeExp: 36.68100 pop: 4762912 continent: Africa","year: 1952 Malawi gdpPercap: 369.1651 lifeExp: 36.25600 pop: 2917802 continent: Africa","year: 1952 Mali gdpPercap: 452.3370 lifeExp: 33.68500 pop: 3838168 continent: Africa","year: 1952 Mauritania gdpPercap: 743.1159 lifeExp: 40.54300 pop: 1022556 continent: Africa","year: 1952 Mauritius gdpPercap: 1967.9557 lifeExp: 50.98600 pop: 516556 continent: Africa","year: 1952 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pop: 2042865 continent: Americas","year: 1952 Guatemala gdpPercap: 2428.2378 lifeExp: 42.02300 pop: 3146381 continent: Americas","year: 1952 Haiti gdpPercap: 1840.3669 lifeExp: 37.57900 pop: 3201488 continent: Americas","year: 1952 Honduras gdpPercap: 2194.9262 lifeExp: 41.91200 pop: 1517453 continent: Americas","year: 1952 Jamaica gdpPercap: 2898.5309 lifeExp: 58.53000 pop: 1426095 continent: Americas","year: 1952 Mexico gdpPercap: 3478.1255 lifeExp: 50.78900 pop: 30144317 continent: Americas","year: 1952 Nicaragua gdpPercap: 3112.3639 lifeExp: 42.31400 pop: 1165790 continent: Americas","year: 1952 Panama gdpPercap: 2480.3803 lifeExp: 55.19100 pop: 940080 continent: Americas","year: 1952 Paraguay gdpPercap: 1952.3087 lifeExp: 62.64900 pop: 1555876 continent: Americas","year: 1952 Peru gdpPercap: 3758.5234 lifeExp: 43.90200 pop: 8025700 continent: Americas","year: 1952 Puerto Rico gdpPercap: 3081.9598 lifeExp: 64.28000 pop: 2227000 continent: Americas","year: 1952 Trinidad and Tobago 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]

---
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# Other Resources ![:scale 6%](assets/img/section/Bad150.png) Caveats
.footnote[[< Contents](#2)]

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# Other Resources ![:scale 6%](assets/img/section/DataArt1150.png) Inspiration
.footnote[[< Contents](#2)]

---
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# Other Resources ![:scale 6%](assets/img/section/DataArt1150.png) Data Art
.footnote[[< Contents](#2)]

---
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# Other Resources | Chart selection
.footnote[[< Contents](#2)]

---
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# Other Resources | Chart selection
.footnote[[< Contents](#2)]

---
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# Other Resources | Extensions
.footnote[[< Contents](#2)]