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Gathering remotely sensed data is tough. Gathering remotely sensed data miles below the earth's surface, under thousands of feet of seawater, in high pressure, high temperature environments is REALLY tough -- and you usually get only one shot! So what do you do when the data comes back...um...less than stellar? Take what you have and let the power of JMP Pro's predictive modeling tools get you the...
Learn more about visualizing and pre-processing spectral data in JMP and JMP Pro.
How much can I save by automating my outdoor spotlights?
Many people tuned in to watch David Hand, Imperial College London; Lene Bjørg Cesar, Novozyme; Francisco Navarro, Solvay; and Aziza Yormirzaeva, Corning Environmental Technologies; discuss machine learning and artificial intelligence. The viewers asked a lot of great questions, but, due to time constraints, host Malcolm Moore from JMP wasn’t able to get to all of them during the event. We felt ...
What do you get when you combine a passion for statistics with a commitment to social responsibility? You get the JMP Ecosystem Restoration Initiative. Or, if that’s too much of a mouthful, you can call it Data for Green.
Three amazing scientists share their thoughts on what makes strong analytic cultures.
At Irish dairy cooperative Dairygold, a dynamic process-enabling tool helps develop the analytics capability of the whole organization.
The cumulative process by which untapped data is captured and converted into valuable insight is called an analytic workflow. Multiple capabilities are utilized while moving along the steps of the workflow, potentially even passing between individuals or departments responsible for various aspects. JMP contains everything needed to transform raw, messy data into knowledge and value for an organiza...
Anders Reinhardt, Director of Business Intelligence at Coloplast, talks about the benefits of using a more visual tool like JMP.
Review/Review Builder Functions that Related to JMPClinicalReviewAPI
Netflix is currently looking to curtail password sharing among its 200M+ accounts. Here's how it could use analytics to do this.
Cameron Willden, W. L. Gore, touches on the differences between data science and statistics, and the differences between machine learning and AI.
Diversity and variation—what is the difference? Variation is ubiquitous, even if we can’t always see it. Diversity is a gift.
I created a Word Cloud to analyze the most commonly used words in my family's group chat.
在資料分析的過程中,有時候我們經常需要將多欄指標合併為一欄,比如將一個 100 人 5 個觀察時間點生成的 100 列 5 欄數據表,轉換成 500 列 1 欄的數據表,從而滿足作圖、分析的進一步需求。那麼,在 JMP 中如何快速實現呢?今天這篇文章我們將介紹:如何在 JMP 將多欄資料合併處理的技巧。 在分析資料時,我們經常會遇到這種情形:一個人同時有多個主要分析指標(如隨訪資料中的多個時間點資料),在匯入資料時,通常是將其分別匯入在不同欄(如 5 個時間點資料,分 5 欄匯入)。這種匯入雖然看起來直觀,但在分析時,有時卻需要將這幾欄指標放置在同 1 欄中。 如果僅僅是 5 欄還好,逐一複製也花費不了多少時間。但如果是 20 欄、甚至更多的欄位呢?不僅費時費力,複製貼上也容易發生錯誤。今天我們便要來認識資料清理中的「堆疊」該如何實現快速將多欄合併為 1 欄,同時新增一個標識變量,以顯...