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    Head First Data Analysis
    Dedication
    A Note Regarding Supplemental Files
    Advance Praise for Head First Data Analysis
    Praise for other Head First books
    Author of Head First Data Analysis
    How to Use This Book: Intro
    1. Introduction to Data Analysis: Break it down
    2. Experiments: Test your theories
    3. Optimization: Take it to the max
    You’re now in the bath toy game
    Constraints limit the variables you control
    Decision variables are things you can control
    You have an optimization problem
    Find your objective with the objective function
    Your objective function
    Show product mixes with your other constraints
    Plot multiple constraints on the same chart
    Your good options are all in the feasible region
    Your new constraint changed the feasible region
    Your spreadsheet does optimization
    Solver crunched your optimization problem in a snap
    Profits fell through the floor
    Your model only describes what you put into it
    Calibrate your assumptions to your analytical objectives
    Watch out for negatively linked variables
    Your new plan is working like a charm
    Your assumptions are based on an ever-changing reality
    4. Data Visualization: Pictures make you smarter
    5. Hypothesis Testing: Say it ain’t so
    6. Bayesian Statistics: Get past first base
    7. Subjective Probabilities: Numerical belief
    8. Heuristics: Analyze like a human
    9. Histograms: The shape of numbers
    10. Regression: Prediction
    11. Error: Err Well
    12. Relational Databases: Can you relate?
    13. Cleaning Data: Impose order
    A. Leftovers: The Top Ten Things (we didn’t cover)
    B. Install R: Start R up!
    C. Install Excel Analysis Tools: The ToolPak
    Index
    About the Author
    Copyright
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    3. Optimization: Take it to the max > Calibrate your assumptions to your analyt...

    Calibrate your assumptions to your analytical objectives

    You can’t specify all your assumptions, but if you miss an important one it could ruin your analysis.

    You will always be asking yourself how far you need to go specifying assumptions. It depends on how important your analysis is.

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    Sharpen your pencil

    What assumption do you need to include in order to get your optimization model working again?

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    Sharpen your pencil Solution

    Is there an assumption that would help you refine your model?


      

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