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Interactive Data Visualization with Processing
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Where to go from here


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Interactive Data Visualization with Processing

with Barton Poulson

Video: Where to go from here

I want to thank you for your time in exploring Processing with me, and the ways that you can use it in your own artistic, creative and data visualization work. Before we go, I want to give you a few ideas on ways that you can continue explorations and educating with Processing. The first think I want to recommend is that you go to the processing.org website and get involved in the tutorials and the reference material available under Learning. And explore the Processing exhibition to see works done in Processing to serve as inspirations for your own work.
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  1. 3m 16s
    1. Welcome
      58s
    2. What you should know
      1m 22s
    3. Using the exercise files
      56s
  2. 11m 51s
    1. Overview of data visualization
      11m 51s
  3. 11m 53s
    1. Installing Processing
      3m 38s
    2. Overview of Processing
      4m 5s
    3. Exploring libraries
      4m 10s
  4. 1h 1m
    1. Basic setup
      7m 31s
    2. Drawing points
      4m 37s
    3. Drawing lines
      5m 6s
    4. Drawing ellipses and circles
      5m 24s
    5. Drawing arcs
      6m 54s
    6. Drawing rectangles and squares
      4m 58s
    7. Drawing quadrangles
      3m 25s
    8. Drawing triangles
      2m 55s
    9. Drawing polygons
      3m 37s
    10. Drawing simple curves
      4m 54s
    11. Drawing complex curves
      6m 46s
    12. Drawing Bézier curves
      5m 38s
  5. 54m 3s
    1. Introduction to variables
      10m 44s
    2. Understanding variable scope
      6m 53s
    3. Modifying variables
      9m 8s
    4. Creating arrays
      9m 53s
    5. Modifying arrays
      6m 37s
    6. Creating strings
      7m 3s
    7. Modifying strings
      3m 45s
  6. 1h 2m
    1. Incorporating randomness
      7m 59s
    2. Using Perlin noise
      4m 24s
    3. Shuffling with Java
      3m 30s
    4. Specifying line attributes
      8m 2s
    5. Changing placement modes
      5m 45s
    6. Understanding color attributes and functions
      4m 16s
    7. Exploring color spaces
      7m 44s
    8. Using color palettes
      7m 5s
    9. Transforming the grid
      8m 38s
    10. Exploring the attribute matrix
      5m 33s
  7. 52m 7s
    1. Building code blocks
      5m 57s
    2. Writing a while loop
      3m 52s
    3. Using for loops
      5m 35s
    4. Creating conditionals
      14m 50s
    5. Working with easing
      10m 51s
    6. Creating spirals
      11m 2s
  8. 18m 55s
    1. Mouse tracking
      3m 54s
    2. Hovering and clicking
      11m 16s
    3. Understanding keyboard interaction
      3m 45s
  9. 27m 32s
    1. Specifying fonts
      6m 43s
    2. Using images
      5m 51s
    3. Playing a video loop
      6m 20s
    4. Exporting video
      3m 47s
    5. Adding sound
      4m 51s
  10. 20m 49s
    1. Creating functions
      11m 48s
    2. Creating classes and objects
      9m 1s
  11. 31m 10s
    1. Using embedded data
      5m 26s
    2. Working with appended text data
      6m 4s
    3. Working with appended tabular data
      10m 26s
    4. Reading XML data
      9m 14s
  12. 48m 17s
    1. Generating dot plots
      11m 11s
    2. Building scatter plots
      10m 0s
    3. Making line plots
      9m 55s
    4. Creating bar charts
      9m 12s
    5. Checking out examples of maps, hierarchies, and networks
      7m 59s
  13. 20m 57s
    1. Introducing some principles of 2D design
      13m 44s
    2. Understanding color theory
      7m 13s
  14. 24m 46s
    1. Interacting with zooming, rotating, and sliding
      6m 26s
    2. Implementing slicing
      6m 47s
    3. Using rollovers
      5m 58s
    4. Introducing the GUI libraries
      5m 35s
  15. 10m 35s
    1. Sharing via OpenProcessing and other sites
      3m 19s
    2. Saving as a desktop application
      2m 42s
    3. Saving as JavaScript
      1m 47s
    4. Saving as an Android application
      2m 47s
  16. 2m 38s
    1. Where to go from here
      2m 38s

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Interactive Data Visualization with Processing
7h 43m Beginner Sep 25, 2012

Viewers: in countries Watching now:

Start communicating ideas and diagramming data in a more interactive way. In this course, author Barton Poulson shows how to read, map, and illustrate data with Processing, an open-source drawing and development environment. On top of a solid introduction to Processing itself, this course investigates methods for obtaining and preparing data, designing for data visualization, and building an interactive experience out of a design. When your visualization is complete, explore the options for sharing your work, whether uploading it to specialized websites, embedding the visualizations in your own web pages, or even creating a desktop or Android app for your work.

Topics include:
  • Exploring the need for creative data visualization
  • Drawing basic lines and shapes
  • Introducing variables, strings, and arrays
  • Modifying drawing attributes such as color
  • Making drawings more dynamic with animation loops and spirals
  • Creating keyboard- and mouse-based interactions
  • Adding images, video, and sound
  • Reading in text or XML data
  • Creating plots and charts
  • Publishing and sharing your work
Subjects:
Developer Programming Languages
Software:
Processing
Author:
Barton Poulson

Where to go from here

I want to thank you for your time in exploring Processing with me, and the ways that you can use it in your own artistic, creative and data visualization work. Before we go, I want to give you a few ideas on ways that you can continue explorations and educating with Processing. The first think I want to recommend is that you go to the processing.org website and get involved in the tutorials and the reference material available under Learning. And explore the Processing exhibition to see works done in Processing to serve as inspirations for your own work.

I also recommend a few excellent books. The once I'd like in particular are Getting Started with Processing, by the Processing co-founders, Casey Reas and Ben Fry. This is a very short and very accessible book that serves as an excellent refresher of many of the things we've covered in this course. Next the book Learning Processing by Daniel Shiffman is a much larger book that serves as a college textbook, but also is a wonderful resource for additional possibilities in Processing. And finally, Visualizing Data by Processing co-founder Ben Fry serves as an intermediate to advanced book on creating even more in terms of interactive data visualizations.

I also recommend that you take a look at some other lynda.com courses, in particular, because Processing is based on Java, the commands that you use in Java can be integrated into Processing as we've done a few different times. As a reminder, lynda.com has a Java Essential Training, and Up and Running with Java Applications, both of these would be excellent resources for help you need to expand your own abilities in Processing. In addition, there some other creative things you can do with Processing, for instance, I encourage you to look at some of the resources for linking Processing to the Microsoft Kinect depth camera that allows you to get 3D depth and images for working in your own sketches.

Also you can link processing to the Arduino Microcontroller from arduino.cc, and find the way to get your sketches off the screen into the physical world. With Arduino, you can connect a wide array of sensors that would be able to input data into Processing, as well as actuators that can take commands from Processing and perform physical actions with them. Also, for serious upgrades and speed for people dealing with large datasets, I encourage you to explore two free open-source libraries that re- create the functionality of Processing in C++.

The first one is open frameworks, which is available at openframeworks.cc. And the second one is cinder which is available at libcinder.org. Above all, I encourage you to take the time to explore your own creative potential in Processing and see the extraordinary things that you'll be able to do in your own work.

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