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JMP Wish List
We want to hear your ideas for improving JMP. Share them here.We want to hear your ideas for improving JMP software
We know that you have many valuable ideas on potential new features, or enhancements to existing features. You can use this Wish List to share your ideas, and discuss how to improve JMP, with other users across the globe.
Here's how to participate:
- Search: Please search for an existing idea first before submitting a new idea.
- Kudo & Comment Kudo ideas you like, and comment to add to an idea.
- Subscribe: Follow the status of ideas you like. Refer to status definitions to understand where an idea is in its lifecycle. (You are automatically subscribed to ideas you've submitted or commented on.)
- Submit: Post your new idea using the Suggest an Idea button. Please submit one actionable idea per post rather than a single post with multiple ideas.
We can’t implement everything, so please include the following to help JMP Product Management evaluate your ideas for consideration:
- What inspired this wish list request? Please describe the current issue that needs improvement or the problem to be solved that is not easy or possible right now, with an example use case.
- What is the improvement you would like to see? Please describe the idea for improving JMP. Please include mock-ups, wireframes, screenshots, scripts, other documents or examples from other software that help describe the change you would like to see.
- Why is this idea important? Please describe the value to you and/or other users if the idea is implemented (for example, ease of use, must have,…).
What inspired this wish list request? With the small icon the left, a user can open heder graphs on top of the data table which show histograms of the available entries. Sometimes, with too many distinct entries in a column, the header graph is too small to show all values. Then the user can increase the size of the header graph - but this reduces the space for the actual data table. What is the improvement you would like to see? When the mouse is on the header graph, please add a possibility to scroll though the entries of the header graph - instead of scrolling through the data table: Why is this idea important? not important. more wishes submitted by
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Status:
Yes, Stay Tuned!
Submitted on
08-18-2020
11:02 AM
Submitted by
Livio_Azzoni
on
08-18-2020
11:02 AM
With omics datasets becoming the norm, JMP needs a straightforward way to visualize high-dimensional data... Tsne and UMAP are becoming the norm for this purpose, PC analysis just won't cut it for publication.
The availability of Tsne and UMAP as native tools in JMP would make a world of difference for those of us who don't want/know how to work with R or Python!!!
Thank you for your attention
L.
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Status:
Investigating
Submitted on
09-19-2022
04:32 PM
Submitted by
shampton82
on
09-19-2022
04:32 PM
I would like to suggest the ability to click on the heat map legend when "discrete colors" is clicked on the gradient setting. So in the picture below when I clikced on the bin between -20 and -30 that data would be selected.
Thanks for considering this.
Steve
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Our company (and many others) have moved to Office 365. Now we have people sharing files that reside on OneDrive instead of e-mailing a 'copy'. Microsoft has done a good job of making it hard (impossible?) for there to be version conflicts of Excel, Word, etc. If someone is editing an Excel, or a Word, the changes are saved live so anyone else who is collaborating is always using the most recent view.
When it comes to .JMP tables we are still sending copies around and having to come up with creative ways to change the file name every time a change is made in an attempt to encourage that people are using the most recent / latest-and-greatest / best-we-know data and saved scripts. There is a need to acknowledge the trend here towards the cloud.
There are steps towards democratizing analyses, but I am thinking some mechanism is also needed for data. Maybe that's part of a future vision, too, and I just don't know it yet?
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I really like the new feature in JMP 15 showing the distributions below the headers. Yet, for time series (sensor data), distributions are not enough.
It will be great if we can also add spark-lines (Excel and many other software have them).
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What inspired this wish list request? A graph can be misleading if a data filter is applied - the graph doesn't show the whole data set but just a selection. Special use case: a user wants to generate 5 different plots for different subsets. At the moment, it's hard to track: which plot belongs to which setting? To highlight the individual selections, a footer can be activated which shows the selection of the data filter: The disadvantage: For complicated filter settings the string can get VERY long - and I agree with @Neo: sometimes it's just a single part of the data filter which should be highlighted in the plot - e.g. as graph title: Is it possible to dynamically update "graph title" based item selection in local data filter (including multiple selections)? At the moment, the user has to apply some JSL magic to get the desired result: What is the improvement you would like to see? In the read triangle menu of a local data filter, please add the option use as graph title. If the new option is selected for one or more data filter, Jmp collect the information about the selected entries and display it as graph title. Why is this idea important? low hanging fruit that will make many Jmp users happy: Putting part of the data filter information into the graph title is an easy way to make graphs more meaningful. more wishes submitted by
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Status:
Acknowledged
Submitted on
04-03-2020
12:25 PM
Submitted by
nathan-clark
on
04-03-2020
12:25 PM
I would like to suggest the ability to force MFI to combine files together, even if it finds differences.
Use Case: I am combining data from two instrument platforms where the data is set up identically, but the differences are enough that MFI separates the data into two tables if I have both instrument platforms. I am aware of all pertinent differences, and just want to leverage MFI for high quality, quick combination. I would like a radio button to 'force into one file' along with "Stack Similar Files" and "One Table for Each File".
While JMP does an amazing job most of the time, sometimes I know better than JMP ;)
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What inspired this wish list request? I've been using different ways of connect to databases, the documentation describes well the "open database" and "execute sql" way, but not the "new sql query" way. (Database Access (jmp.com)). Maybe it's hidden under "run query builder queries". What is the improvement you would like to see? see: Which way to go query database? - JMP User Community There is no statement about what to use in future, the different behaviour regarding "hide odbc connection string" has hurt us a lot (JMP17 behaviour on Preference "Hide ODBC Connection Strings" set: connection str... - JMP User Community). I would like to see more detailed how the one or the other method works, what are Pro's and Con's to use one or the other. There seems to be a favourite one from JMP side, one that is the future method, and others are legacy. That should be made available to others. Why is this idea important? Because we could streamline our scripts, use one best know method, and do not need to troubleshoot with a lot of different behaviour regarding preferences settings and script functionality. All our data comes from database, so database functions are very important by default.
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JMP Windows Specific preferences does offer "Dock the Window List in maximized windows" option which is from time to time great. What I would like to have, is to be able to quick hide that window list in maximized windows. This could be implemented in similar manner as Hide/Close Left Panels in data table.
Why? This is because the Window list takes quite a bit space if it is set in usable size and I would like to hide it when I have no need for it BUT get it back when I need it again.
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Status:
We like it! (in the queue)
Submitted on
04-17-2018
03:02 AM
Submitted by
frankderuyck
on
04-17-2018
03:02 AM
Many DOE's need to be peformed over several days so considering and separation of random time variation in DOE analysis is an issue. As stated by Goos & Jones Randomized blocks in DOE are very useful to absorb random variation so fixed effects can be precisely estimated.
However in the JMP forward stepwise parameter selection module random effects can't be included; all blocks, also random time effect blocks, need to be treated as fixed effects. In forward selection it would be a major imporvement to also allow random effects so the old cumbersome backward selection can be avoided.
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Currently the Checkbox “use pooled MSE for nonpoolable Model” is only available in the linear path model (Degradation à Stability Test). It is already possible to use the “Destructive Degradation” Platform to generate linearized models through data transformation (in case of non-linear degradation), which then can be applied for stability testing following the ICH guidelines. However here it is not possible to specify the usage of the pooled MSE. In addition using a linearized model (e.g. by transforming the x-variable [time]) for stability testing, the stability test report documents the “earliest crossing time” point with the transformed x-value (time). Is it possible to report here the back-transformed value as this would facilitate the interpretation of the results? Currently we have developed a work-around using the fit-model platform by writing a script, but as this analysis is part of our quality testing we would need to validate this Script. If this pooled MSE function for non-linear degradation would be included in the out-of-the-box functionalities of JMP, this would help us a lot!
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☐ cool new feature ☑ could help many users! ☑ removes something that feels like a bug ☐ nice to have ☐ nobody needs it What inspired this wish list request? Unlike plots and reports, column formulas don't use the information: which rows are excluded? - by default. If the user doesn't pay attention, this leads to erroneous, Max, Min Rank etc. values. The workaround: The user has to specify explicitly that excluded rows have to be excluded form the analysis. Therefore some kind of Excluded() has to be added to the formulas as soon as rows are excluded: Col Functions and Row States The problem: The user has to know about the problem. What is the improvement you would like to see? Please provide a shortcut button to add excluded()to the formula; The button could be placed between the columns list and the constants/variables menu. alternative: For new users, please add Excluded() from Function List /Row States to the functions favorites - to present it nicely visible at the top of the functions list. Why is this idea important? a) With the new button (or function favorite) a user can quickly add an excluded() expressions to his formula. b) A new Jmp user doesn't expect that such expressions have to be added to the formula. The availability of the button (or function favorite) will make him think, dig deeper and find out. more wishes submitted by
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Currently, the only way I can specify a mean and sigma different from the values calculated from a data series is by using the Add STATS feature in Legacy Charts. I tried Control Charts and Control Chart Builder, but I could not find a way to specify a mean and sigma to get specific control limits. This feature is important in order to compare historical behavior in a consistency chart to new data going forward, as shown in Wheeler’s book EMP III.
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Exactly the same line up box we have now, except that we fix the number of rows and let the number of columns adjust based from data input.
It will be populated per column. I.e, Fill 1st column first from top to bottom, then create 2nd column and fill from top to bottom, repeat added all elements.
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Similar to this: https://community.jmp.com/t5/Discussions/Automatically-shows-Show-filter-option-in-every-window/td-p/186559 Would want this in at least the formula view and the graph builder view.
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Status:
Not Planned For Now
Submitted on
12-15-2017
11:05 PM
Submitted by
ih
on
12-15-2017
11:05 PM
ih
on
12-15-2017
11:05 PM
Fit model allows the user to set up and launch an analysis but not close the launch window. This is useful when iterating through many versions of a model. Add this check box (but leave it unchecked by default) to every platform.
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This would fall under a small "quality of life" improvement but the legend for a stacked bar chart is always in the opposite order of what one would intuitively expect when going scanning from top to bottom (the top item in the legend is the bottom item in the stacked bar) . If that isn't changed it would be nice to have a "reverse" order button in the legend settings box, similar to what is available when changing the Value Ordering property for a column.
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What inspired this wish list request? What is the improvement you would like to see? <<Visibility("private")
<<Visibility("invisible"/"hidden")
<<Visibility("visible") Why is this idea important?
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In JMP 13.2.1, JSL script "Open Database("DSN=mysql", sql)" is much slower than running the same "select" sql query on MySQL workbench or at mysql command line on same pc. DSN points to MySQL ODBC driver installed locally in my win10 pc, (mysql-connector-odbc-5.3.7-winx64.msi). The loading speed difference is very noticeable when "select" would return many lines such as 1 million line of data. Wish JMP would improve this data connection and loading speed in next release.
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Status:
We like it! (in the queue)
Submitted on
11-08-2021
08:12 AM
Submitted by
ih
on
11-08-2021
08:12 AM
ih
on
11-08-2021
08:12 AM
There are a lot of forum posts about how to get results from reports. This could be made easier by adding some attributes to the display tree and defining two new functions that would do most of the work for the user. I propose this syntax:
platform = Fit Model( ... );
platform << Get Result( "BIC", fit("NormalLassoAICValidation") );
//returns [0.683248]
Display Tree Attributes
Define a set of result types that is standard across all platforms. This will be a big list, but if two platform both report an adjusted R2, they should both use the same result type.
Add the result type to an attribute in the display tree for the column, cell, and/or anywhere else it is displayed, similar to the helpKey attribute for some platform outlineboxes.
Display the result type somewhere in the platform GUI, maybe in a hover label for everywhere it is displayed
Do something similar to flag outline boxes containing a fit created by the model (think '...fit with 6 components' in PLS or 'Normal Lasso with AICc Validation'). Here the attribute would be specific to the platform.
Functions
Create functions to get
The result values
The report element containing the result
The report element of the fit
The scriptable object of a fit
Call them like this
platform << Get Result("AdjustedRSquared") //Matrix or list of all Adjusted R Squared values
platform << Get Result("AdjustedRSquared", fit("NIPALS_1")) //Matrix or list of all Adjusted R Squared values in fits with NIPALS_1
platform << Get Result("AdjustedRSquared", fit("NIPALS_1"), fitnumber(1)) // Matrix or list of all Adjusted R Squared values in the first fit with NIPALS_1, should be exactly one value
platform << Get Fit("NIPALS_1") //returns the scriptable object
platform << Get Fit("NIPALS_1","object") //same
platform << Get Fit("NormalLassoAICValidation","report",fitnumber(1)) //returns the report from the first fit with NormalLassoAICValidation
These functions these could be variations of wrappers around XPath:
platform << XPath("//NumberColBoxItem[@ResultType='AdjustedRSquared']")
platform << XPath("//OutlineBox[@Fit='NIPALS_1']")
platform << XPath("//OutlineBox[@Fit='NIPALS_1']") << Get Scriptable Object
fm << XPath("//OutlineBox[@fit='NIPALS_1']//NumberColBoxItem[@ResultType='AdjustedRSquared']")
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-
Data Exploration and Visualization
552 -
Automation and Scripting
443 -
Mass Customization
326 -
Data Access
236 -
Basic Data Analysis and Modeling
233 -
Data Blending and Cleanup
223 -
Content Organization
179 -
Sharing and Communicating Results
167 -
Advanced Statistical Modeling
141 -
Quality and Process Engineering
117 -
Predictive Modeling and Machine Learning
105 -
Design of Experiments
90 -
Reliability Analysis
60 -
Consumer and Market Research
43
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