datadescription.com

What is Data Desk?

Data Desk was a desktop application for exploratory data analysis (EDA), made by Data Description Inc. Its defining idea was dynamic linking: select points in one plot and the same cases highlight in every other plot, table, and summary, so you can brush through a dataset and watch patterns, outliers, and subgroups emerge across many views at once. That emphasis on visual, interactive exploration—rather than formula-first modelling—is what it was known for.

What happened to it

Data Description has announced its dissolution after 40 years. All sales, trial downloads, and upgrades have ceased, so Data Desk is no longer a product you can buy or license. The company's page is now a farewell notice, a pointer to its R and Python integration features, and a statement of continued support for DASL.

What still exists

• DASL (The Data And Story Library) remains hosted by Data Description. It is a searchable archive of real datasets organised so instructors can find examples by statistical method or display, by text match, or by title, with hundreds of free datasets. It is aimed at teaching and learning statistics at any level.
• R and Python bridges. Data Desk's RP features let the interface act as a graphical front end to R, and analyses or displays could be shared with people who did not have Data Desk. The company framed this as a gentle route into writing R or Python code, particularly for students and teachers.

Who it was for

Statisticians, analysts, and instructors who wanted to see data before committing to a model; and classrooms where the point was building intuition about distributions, relationships, and outliers. The natural modern substitutes are R with interactive graphics packages, Python with plotting and EDA libraries, and tools such as JMP or TinkerPlots-style environments that carry the same linked-brushing idea.

If you are deciding what to do now

Do not plan around Data Desk: there is no purchasing or upgrade path. If what attracted you was the teaching material, start with Data Description Inc and its DASL archive, then pair those datasets with an interactive environment you can actually maintain. If what attracted you was linked brushing specifically, test candidate tools on a real task—load a messy table, make a scatterplot and a histogram, select a cluster in one, and check whether the other views respond—before committing to a workflow.

What happens to existing Data Desk licenses now that Data Description has dissolved?

Data Description has initiated dissolution, and the company states that all sales, trial downloads and upgrades have ceased. For existing Data Desk license holders, that means there is no vendor channel left for buying new seats, upgrading to a newer version, or starting a fresh trial. The practical effect is that your installed copy keeps working as long as your hardware and operating system allow it, but you should treat it as frozen software: no new activation help, no paid upgrade path, and no vendor support for compatibility problems.

What this changes in practice

• No new licenses or upgrades. Anyone hoping to move to a later release or add users is out of options through the vendor.
• Support and activation risk. If a license needs re-activation after a machine rebuild or OS change, there is no vendor to turn to. Keep your installer media, license details and any offline activation files backed up.
• Your data stays yours. Data Desk's file formats are readable by the software you already have; the bigger risk is losing access to the program itself, not the datasets.
• Teaching and coursework continuity. Instructors who built exercises around Data Desk should plan a migration path for future terms rather than assume the tool will remain installable.

A realistic scenario

A statistics lecturer with a lab of Data Desk machines can keep running the current term as-is. Before the next intake, they would need to decide whether to keep aging machines frozen in place or move exercises to a maintained platform. The same calculation applies to a researcher with a decade of saved analyses: the analyses remain valid, but reproducing them on new hardware becomes the constraint.

Where to go instead

Data Description points users toward R and Python, and its DASL teaching archive remains hosted. For a replacement workflow:

• R for statistical analysis and graphics, with The R Project for Statistical Computing as the official source.
• Python for general-purpose data work, via Python.
• DASL for real datasets and teaching examples, still available through Data Description Inc.

If your priority is preserving existing Data Desk work, the immediate step is to archive installers and license files and confirm the software still runs on your current machines. If your priority is future-proofing, test one representative analysis in R or Python now, while you still have the original results to compare against.

How can I use Data Desk as a graphical interface for R or Python?

Data Desk is no longer sold or supported: Data Description has dissolved, and all sales, trial downloads and upgrades have ceased. The company does, however, describe a feature it called RP that let Data Desk act as a graphical interface to R, and to pass displays and analyses to people who did not have Data Desk. That is the capability your question refers to, but it is a legacy product rather than something you can buy, download or get help with today.

What the RP feature was for

• Point-and-click front end to R. Instead of writing R at the console, you worked through Data Desk's menus and windows, with R doing the computation behind them.
• Sharing results. Analyses and displays could be handed to colleagues or classmates who did not have Data Desk installed.
• Teaching and learning. Paul F. Velleman, Data Description's Chief Scientist, noted that students and teachers could use the feature as a gentle way to learn to write R or Python code, moving from menus to syntax.

The Python side was framed the same way: Data Desk as the interface, Python as the general-purpose language underneath.

What to do instead

If your goal is a graphical interface to R or Python, the practical route is a current tool with active maintenance. Two common patterns:

For R specifically, RStudio-style environments and JAMOVI are widely used starting points; for Python, Jupyter notebooks and Spyder cover similar ground. If your interest is teaching with real datasets, the resource Data Description continues to host is more useful than the discontinued software: DASL, the Data And Story Library, is a free, searchable archive of several hundred real datasets organised by statistical method and topic, and it remains available at DASL.

A reasonable next step: if you have existing Data Desk files or RP-era workflows, treat them as archival, and rebuild the analysis in R or Python using a dataset from DASL as your test case. That preserves the teaching value while removing dependence on a product that is no longer distributed.

What is DASL and how can I search its datasets?

DASL stands for The Data And Story Library. It is a free, searchable archive of real-world datasets, created and still hosted by Data Description Inc. Its purpose is teaching and learning statistics: instructors and students can find genuine data tied to a topic or story, then use it to illustrate a statistical method instead of working with abstract numbers.

How to search DASL

DASL is built around three search routes, which suit different starting points:

• By statistical display or method — start here when your goal is to teach or practise a technique, such as regression, boxplots or confidence intervals, and you need data that fits it.
• By text match — start here when you have a subject in mind, such as health, sports or economics, and want datasets mentioning it.
• By title — start here when you already know the name of a dataset or want to browse an alphabetical list.

Which route to pick

Practical example

Suppose you are teaching simple linear regression and want an example students will recognise. Search by method for regression, skim the returned datasets for one with an intuitive relationship, then open it to check the variables and sample size before building your exercise. If nothing fits, switch to a text search on a topic your class already cares about and look for a dataset with two quantitative variables.

What to keep in mind

DASL is an archive, not a live analysis tool, so you download or open a dataset and work with it in your own software. The collection is described as hundreds of free datasets, which means broad coverage but not exhaustive depth in any single field; for a very specialised topic you may need to look elsewhere. The site also notes that Data Description has ceased sales, trials and upgrades, while DASL itself continues to be hosted.

A useful next step is to visit Data Description Inc and open the DASL section, then run one method search and one text search on the same topic to see which returns better material for your purpose.

Can I still download DASL datasets for teaching statistics?

Yes. DASL datasets remain available for teaching and learning statistics. Data Description states that it will continue to host the DASL archive even though the company has dissolved and stopped selling or upgrading Data Desk.

What DASL is and who it suits

DASL (The Data And Story Library) is a searchable archive of real-world datasets. Its main audience is statistics instructors and students: instructors can find examples tied to a specific method or display, and learners can work with genuine data rather than simulated numbers. The site describes hundreds of free datasets, searchable by statistical method or display, by text match, or by title.

A practical scenario: you are preparing a lesson on regression and want a dataset with a clear story behind it. Searching DASL by method lets you find a candidate quickly, then you can download it and adapt the accompanying context for your class.

What has changed

Data Description has initiated dissolution and has ceased all sales, trial downloads and upgrades for its own software. That affects Data Desk, not DASL. The archive itself is explicitly described as continuing.

How to use it

• Start from the DASL archive rather than the product pages, since product downloads are no longer offered.
• Search by method or display when you know the technique you are teaching; search by title or text when you have a topic in mind.
• Check each dataset's accompanying story, since the context is often what makes the example work in a lesson.
• For long-term course materials, download and store the files you rely on rather than assuming permanent availability.

Where to find related teaching resources

If you want additional real-data sources for courses, established options include UCI Machine Learning Repository, Data.gov, and ASA Statistics Education Web. These are independent of DASL and follow different curation and licensing practices, so verify terms before redistributing anything.

The key decision rule: if you need free, story-driven datasets for teaching statistical methods, DASL is still a reasonable first stop; if you need the Data Desk software itself, that is no longer available from the vendor.

How do I contact Data Description for support or questions?

Contact Data Description through the contact form on its website, Data Description Inc. The form asks for your name, email, subject and message, and the page states that replies are sent in a timely manner. It is the only support channel described on the page now that the company has announced dissolution and ceased sales, trial downloads and upgrades.

What to expect

• The company is winding down, so do not count on phone support, new licenses or paid upgrades.
• The form is still presented as active, so it remains the sensible first step for questions about existing use, licensing history or the DASL archive.
• DASL, the Data And Story Library, continues to be hosted, and the site says Data Description remains its creator and sponsor. If your question is about finding datasets for teaching, browse DASL first.

A practical next step

Write a specific subject line, such as "DASL dataset access" or "Data Desk license question," and include your product version and operating system in the message. That gives whoever monitors the form enough context to answer without a round trip.

If you need a maintained statistical environment for new work, R and Python are the practical alternatives. The site notes that Data Desk's RP features let its interface act as a graphical front end to R, and that displays and analyses can be shared with people who do not have Data Desk. For statistics teaching specifically, Cross Validated and the R Project's own resources at The R Project for Statistical Computing are useful places to look for community help and documentation.