Course Overview

Data Visualization Pipelines
Relational Database Management Systems
Useful Data Manipulation Types
Data Visualization Techniques
Interactive Data Presentation
Dynamic Data Sources
Your Responsibilities in Class

• Introduction
• Course Objectives
• Course Motivation
• Obtaining Data
• Our Development Process
• Ideas Brainstorming Session

• Set up a Relational Database Management System
• Investigate Processing and D3
• Walkthrough of Useful Examples

Inputs and Outputs for data visualization

Data Quality Concerns

• Three distinct roles involved in useful relational database management systems use:
• Data Modeler
• Database Administrator
• Data Analyst
• Consider roles associated with the Parts Tutorial
• Free study time

• Practice our second day start exercise (see our end code).
• Explore the role of a Database Administrator.
• Continue to dream up a project you want to work on.

• Tables
• Atributes
• Queries
• Management commands and activities

• Practice our third day exercises.
• Consider possible data sets of interest to you.
• Review steps to set up a data back-end service.

• Investigate the Wikipedia Page on Data Modeling
• MySQL developers' take: Why you want to be good at data modeling

• Review the fourth day exercise.
  
• Work on your artwork and storyboard

• Useful Data Manipulations
• Examples of formal querying of a database

• Consider an interesting dataset I'm working on for us.
• Map out a state machine for your visualization

• Setting a narrative for analysis
• The value of visualization in good story telling
• Explore data visualization genres
• Develop an internal dialogue regarding which genre to use in different scenarios

• Take a look at our sixth week example.

• Processing and the artistic mind
• Examples of using processing for data vis
• In-class step-by-step development example

• Consider the code behind a development example
• Work on a storyboard for the user experience

• Cognitive augmentation models
• Investigating a train of thought

• Warm up with the eighth day exercise.
• Follow the steps to add interactivity to a static visualization

• Useful processes of analysis
• Examples of genres

• Consider examples from the D3 library
• Download the ninth day code.

• Middleware systems for dynamic data management

• Design front-end, middle, and back-end
• Reasons to optimize in the back and middle
• Examine PHP-based middleware templates

• Sharing development and debugging strategies

• Class Project Due Next Week
• Feel good about your new skills

• Putting our visualizations on a Web server

• Class Project Due at End of Class
• Feel good about your new skills
• Take a look at our final data visualization concepts