How to stack data for a Oneway analysis

The data you want to import into JMP often requires some manipulation before it’s ready to be analyzed in JMP. Sometimes data is arranged so that a row contains information for multiple observations. To prepare your data for analysis, you must restructure it so that each row of the JMP […]

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How to combine Squarify and Split layouts with hierarchical Treemaps

In my previous blog post, I introduced you to a new layout algorithm for Treemaps in JMP, called Squarify. I explained how Split preserves the order of your data while Squarify orders the data by size. But what if you have data that is hierarchical? JMP can display hierarchical data in a […]

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A case study analyzing and visualizing ethanol fuel data

People have been producing ethanol for about 9000 years[i]. Ethanol is made using a fermentation process. The fermentation process converts sugars into ethanol using yeast. For most of history, the ethanol produced was for consumption purposes. In the last 35 years, there has been an increase in ethanol fuel use[ii]. […]

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Are some Lilly Pulitzer for Target sizes commanding a higher premium on eBay?

In my last blog entry, I looked at 10 different items from the Lilly Pulitzer for Target collection and how close their realized price is to buying directly from the Lilly Pulitzer website. My wife pointed out the lack of XXL size items available from Lilly Pulitzer, so a natural […]

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Discovery Summit Europe live blog: Dick De Veaux

Williams College statistics professor and data mining expert Dick De Veaux gives a keynote speech at Discovery Summit Europe 2015 in Brussels, Belgium. View the live blog of this speech. See photos and tweets from the conference at jmp.com/live. tags: Discovery Summit, Discovery Summit Keynote, Exploratory Data Analysis, Statistics

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Exploring data on the best pizza in the US

I am of Italian descent from the greater New York City area, so it should be no surprise that I love pizza. My interest was piqued when my niece Samantha recently posted a ranking of the “101 Best Pizzas in America," according to the Daily Meal® website, which conducted the […]

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New contingency analysis add-in for JMP

A contingency analysis determines whether there is a relationship between two categorical variables. A caterer, for example, might be interested in knowing whether entrée selections at an event were related to gender, given the following data: The contingency platform in JMP requires the X and Y variables to be contained […]

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Is your state really the best in college basketball?

As we roll up to another college basketball tournament, there is no shortage of rankings of teams and conferences to help avid fans fill out their brackets. A different kind of ranking that recently caught my eye was “Power Ranking the 50 US States by College Basketball Strength” by Kerry […]

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What-if analysis with JMP (no spreadsheets) -- Part 5

Last week, I showed how the Excel Add-In for JMP can bring more value to Excel spreadsheets for what-if analysis and optimization. Today, we’ll look at how using that same data from within JMP alone is more elegant. First, let’s look at the Excel spreadsheet from last week's post (see […]

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Scenario-based planning & optimization in Excel & JMP -- Part 4

Over the past few weeks, we’ve looked at the rise of Excel’s usage and popularity, and I've noted that Excel has made forays into analytics. Today, we’ll look at one type of analysis: scenario-based planning and optimization. Using Excel add-ins, you can create what-if analysis and scenario-based planning using Monte […]

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