資料清理之「拆分」:在 JMP 快速實現一欄拆分為多欄
在資料分析的過程中,你可能需要將一欄或多欄指標細拆成多欄指標。例如在人口普查結果中瞭解男女性在不同年齡區段的分布情形;又或者,出於分析或做圖需要,依據性別將身高拆分別兩列等。今天就要帶你瞭解如何在 JMP 實踐將一欄資料拆分成多欄。
在資料分析的過程中,你可能需要將一欄或多欄指標細拆成多欄指標。例如在人口普查結果中瞭解男女性在不同年齡區段的分布情形;又或者,出於分析或做圖需要,依據性別將身高拆分別兩列等。今天就要帶你瞭解如何在 JMP 實踐將一欄資料拆分成多欄。
Learn why models that look great on the surface can still be very, very wrong.
Get teaching resources organized by course area.
A look at text analytics capability in JMP Pro 16.
A great use for JMP Live is the automatic publishing of a daily report. These reports come in many forms across lots of industries – daily yield reports, overnight production summaries, campaign registrations, just to name a few. And in many of these reports, there is the desire to automatically separate the vital few parameters or measurements from the trivial many.
It was great to see many people attend this Technically Speaking event and learn more about what JMP development team has added to JMP Clinical in order to keep up with industry and regulatory agencies needs. It represented on step of many that will be coming in the next few years to not only modernize JMP Clinical, but also to help modernize how clinical trials are reviewed, analyzed, and monitor...
Have you ever wondered how to combine DOE and art?
Figure 6: Temperatures at DFW, Austin, and Houston with power generation by type. Check out that Solar signal!This past February, Texas experienced some of the coldest sustained temperatures on record. As many read in the news, this caused an unprecedented failure of Texas’ electrical grid, causing 4 million people to be without electricity at its peak. A cavalcade of problems resulted, ranging fr...
The jackknife technique is very simple, yet very powerful, relying on calculations using the “leave one out” technique.Figure 3: Simple plot of X1 vs X2, including best-fit line (from ordinary least squares)
How do you set up an experiment that explores what makes for a tempting looking plate of cookies?
We wanted to end this Discovery Summit Europe with something fun.
What makes for a tempting looking plate of cookies? The results are in!
A new feature in JMP 16, Sample Size Explorers elevate power calculations to a new level.
Part of the confusion stems from the use of the term covariate.
Some of the most important content of the conference is available right now: the papers.
During a recent livestream event, Ayana Littlejohn of SAS discussed one of the many social innovation projects she’s worked on during her career.
Some modeling problems will require you to look at a larger set of outputs to diagnose the health of the model and understand and communicate the results effectively. This post focuses on variance inflation factors, parameter estimates and interaction plots.
Even with the default settings in JMP as a starting place, there are still many outputs that one has to prioritize and figure out how to interpret.
“Which model outputs should I be looking at? There are so many! And how should I interpret them?” The biggest barrier I have seen from analysts who want to use models to solve their problems is that they get confused and/or bogged down with all the outputs they need to look at once they’ve built a model. This is the first of a five-part blog series aimed at helping analysts get started in their qu...