---
title: "Welcome"
author: "Prof. Eric A. Suess"
format: revealjs
---

## Welcome

In this class you will learn about *data visualization*.  You will learn about best practices for making effective visualizations from data using modern software.

In this class you will also be introduced to some of the modern visualization *software tools*.

## A grammar for data graphics

**Aesthetics**

- Scale
- Guides/Legends
- Facets
- Layers
- Animation

## Data graphics in R

*ggplot*

**Univariate**

- scatterplots, smoothers, boxplots, histograms, density plots, bar graphs, clustered bar graphs, stacked bar graphs, pie charts, time plots

**Multivariate**

- multiple smoothers, facets, mosaic plot, maps, choloropeth maps, networks


## ggplot website

Take a look at the [ggplot2 website](https://ggplot2.tidyverse.org/index.html).  

Be sure to download the [ggplot2 Cheatsheet](https://raw.githubusercontent.com/rstudio/cheatsheets/master/pngs/thumbnails/data-visualization-cheatsheet-thumbs.png).

Here is the link to the [ggplot2 extensions website](https://exts.ggplot2.tidyverse.org/gallery/).


## Interactive data graphics

Web rich content has brought more color and motion to data visualization.

- [shiny](https://shiny.rstudio.com/)
- [seasonalview](http://www.seasonal.website/)
- [htmlwidgets](http://www.htmlwidgets.org/index.html)
- [dygraph](http://dygraphs.com/)
- [D3](https://d3js.org/)
- [plotly](https://plot.ly/#/)

## Interactive data graphics

- [Tableau](https://www.tableau.com) 
- [Qlik](https://www.qlik.com/us/)
- [streamlit](https://streamlit.io/)
- [Seaborn](https://seaborn.pydata.org/)
- [Bokeh](https://docs.bokeh.org/en/latest/index.html)

## Spatial data

Working with geolocation data and maps

- [ggmap](https://github.com/dkahle/ggmap)  Now requires an API and credit card number.
- [leaflet](https://leafletjs.com/)
- [tidygeocoder](https://jessecambon.github.io/tidygeocoder/index.html)

Distances and routes

- [gbfs](https://gbfs.org/) [R package gbfs](https://github.com/simonpcouch/gbfs)
- [gtfs](https://gtfs.org/) [tidytransit](https://github.com/r-transit/tidytransit)

## Network science

Graphs in visualizations.