Monday, January 26, 2009

Notes from statistics and visualization course

Statistics and Visualization for Data Analysis and Inference


1. Visualization - howcan i see what my data show?
2. Resampling - how do i estimate the uncertainty of my meausres?
3. Distributions - how do i summarize what i believe about the world?
4. The Linear Model - how can i create a simple model of my data?
5. Bayesian Modeling - how can i describe the processes that generated my data?

Principles of Visualization

Worked Example

look into many eyes (IBM) - interactive visualization

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