# Tag Archives: standardization

## Regression Fantasies

Common Reasons for Doubting a Regression Model Finding a model that fits a set of data is one of the most common goals in data analysis. Least squares regression is the most commonly used tool for achieving this goal. It’s … Continue reading

## The Foundation of Professional Graphs

Some people are content with visualizing their data sets using pie charts and bar charts. If you really want to analyze data, though, you need to know how to pick the best graph for the job. Here’s the first step … Continue reading

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## It’s All Relative

It’s easy to quote someone out of context to impart a false impression. A movie critic might write a review saying, “This film is a delight compared to a colonoscopy” only to be quoted as saying, “This film is a … Continue reading

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## Fifty Ways to Fix your Data

Fifty Ways to Fix your Data (Sing to the tune of “Fifty Ways to Leave Your Lover” by Paul Simon) The problem is all about your scales, she said to me The R-squares will be better if you’ve matched ’em … Continue reading

## Ten Fatal Flaws in Data Analysis

1. Where’s the Beef? In a way, the worst flaw a data analysis can have is no analysis at all. Instead, you get data lists, sorts and queries, and maybe some simple descriptive statistics but nothing that addresses objectives, answers … Continue reading

## Resurrecting the Unplanned

Even if you took a class in statistics or another form of data analysis, you probably didn’t hear about frankendata. Frankendata is created when data, collected by different people, at different times and locations, analyzed with different procedures and equipment, … Continue reading

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## The Heart and Soul of Variance Control

You can’t understand data without controlling the variance. You can’t control variance without understanding the data. Variance Doesn’t Go Away By Ignoring It In an ideal universe, your dataset would contain no bias and only the natural variability you want … Continue reading

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