index.Rmd

---
title: "Tessera Short Course at UTS"
author: Tessera
copyright: Tessera
output:
  packagedocs:
    toc: true
brand: |-
  <a href="http://tessera.io">
  <img src='figures/icon.png' alt='tessera icon' width='30px' height='30px' style='margin-top: -3px;'>
  </a>
---

# Tessera Short Course #

This is the landing page for the short course "Analysis and Visualization of Large Complex Data with Tessera" that will be given at University of Technology Sydney on October 13, 2015 from 9am to 5pm.

## Slides ##

The slides for the short course are located here: [http://slides.com/hafen/tessera-uts2015/](http://slides.com/hafen/tessera-uts2015/).

To follow along and stay on the same slide as the presenter, visit this link: [http://slides.com/hafen/tessera-uts2015/live](http://slides.com/hafen/tessera-uts2015/live).

## Download Tutorial Materials ##

To avoid network issues at the tutorial and to help get things started off smoothly, please download the required packages and data sets listed below prior to the tutorial.

1. If you do not already have the most recent version of R, (version 3.2), please [download](http://cran.r-project.org) and install it.

2. You will need a recent version of the Firefox or Chrome browser installed on your computer.

3. Open R and execute the following commands to install Tessera and other libraries you'll need for the tutorials:

    ```r
    options(repos = c(tessera = "http://packages.tessera.io",
      getOption("repos")))

    # also try this if packages.tessera.io isn't working:
    # options(repos = c(tessera = "http://ml.stat.purdue.edu/packages/",
    #  getOption("repos")))

    install.packages(c("datadr", "trelliscope", "rbokeh",
      "housingData", "lubridate"))
    ```

4. Download and unzip the data and code examples: [http://ml.stat.purdue.edu/uts2015/tessera_shortcourse.zip](http://ml.stat.purdue.edu/uts2015/tessera_shortcourse.zip).

To test your installation, you can load R and try the following commands:

```r
library(trelliscope)
library(rbokeh)
library(housingData)

panel <- function(x)
  figure() %>% ly_points(time, medListPriceSqft, data = x)

housing %>%
  qtrellis(by = c("county", "state"), panel, layout = c(2, 4))
```

This should bring up an interactive trelliscope display in your web browser.

## Additional Reading Material ##

If you want to read up on any of the Tessera components prior to the tutorial, you can look at the [references section on tessera.io](http://tessera.io/#references).