Merge pull request 'blog(two-rule-sets): remove the post, redirect to the docs Developer Guide' (#26) from site/redirect-two-rule-sets into main

Reviewed-on: #26

content/blog/two-rule-sets-one-table/index.md

@@ -1,128 +0,0 @@
----
-title: 'One Table, Two Rule Sets'
-description: 'A single physical table can carry only one set of Data Controller validation rules. Two librefs over the same data - or a pair of hook scripts - give you as many rule sets as you need.'
-date: '2026-09-24 15:30:00'
-author: 'Data Controller'
-authorLink: https://www.linkedin.com/showcase/data-controller-for-sas
-tags:
-  - Data Quality
-  - Configuration
-previewImg: './rule-set-1.png'
----
-
-# One Table, Two Rule Sets
-
-Most Data Controller sites settle into an obvious mapping: one table, one edit screen, one set of validation rules. But that is not always what the business wants. A table of orders might be edited from a finance report that only tolerates small adjustments, and from an operations report where much larger ones are routine. Same table, same columns, same approvers - different rules.
-
-Data Controller's validation rules are configured per table, so this takes a little thought. There are two ways to do it: the one we recommend, and the one to reach for when the first is not available.
-
-## Why one table is one rule set
-
-Two configuration tables decide this.
-
-`MPE_TABLES` is the list of editable tables, and its primary key is `(tx_from, libref, dsn)`. One physical table is one editable table.
-
-`MPE_VALIDATIONS` holds the rules, and its primary key is `(tx_from, base_lib, base_ds, base_col, rule_type)`. Rules hang off a physical `libref.dataset`. There is no per-menu or per-report scoping anywhere in the schema, and the editor is handed exactly the rules whose `base_lib` and `base_ds` match the table being opened.
-
-So two rule sets on one table need two distinct `libref.dataset` identities. The question is how to get them without copying the data.
-
-## Option 1 (recommended): two librefs over the same data
-
-A libref is just a name pointing at a location. Nothing stops you assigning two of them to the same place, and Data Controller will treat the two as separate tables:
-
-```sas
-libname ORDERS_EU '/data/orders';
-libname ORDERS_US '/data/orders';
-```
-
-`ORDERS_EU.ORDERS` and `ORDERS_US.ORDERS` are now the same physical file, but they are different rows in `MPE_TABLES` and can therefore carry different rows in `MPE_VALIDATIONS`. Register both, give each its own rules, and point each report at its own editor URL - `#/editor/ORDERS_EU.ORDERS` and `#/editor/ORDERS_US.ORDERS`.
-
-![The first report rejects an amount of 5000](rule-set-1.png)
-
-![The second report accepts the same value](rule-set-2.png)
-
-Everything else works exactly as it always did. Filtering, search, the row cap, the approval diff and the audit trail all operate on the table as normal, because as far as Data Controller is concerned these are ordinary tables. The only difference is that the two names resolve to the same file, so an approval in either report updates the same data - and that one difference has a consequence for concurrency, which is covered below.
-
-There is no copy to keep in sync, no hook to write and nothing to maintain. That is why it is the option we recommend.
-
-### Things worth knowing
-
-- Where the librefs are defined depends on your platform. On Viya, in the compute context's `autoexec.sas` (or `[DC Drive Path]/services/settings.sas`); on SAS 9, as metadata libraries or in the Data Controller Settings stored process; on SASjs Server, in `services/public/settings.sas`. The one requirement is that each library has a unique libref.
-- `mp_lockanytable` keys on `libref.dataset`, so the two menus do not serialise against each other. That has consequences beyond a collision - see [the concurrency caveat](#the-concurrency-caveat) below.
-- The audit trail and approval queue record which libref a change came through, so `ORDERS_EU.ORDERS` and `ORDERS_US.ORDERS` stay distinguishable in history. For most people that is a feature - you can see which report a change originated from.
-
-### The concurrency caveat
-
-Data Controller serialises its writes with `mp_lockanytable`, and the control table it uses, `MPE_LOCKANYTABLE`, has a primary key of `(lock_lib, lock_ds)`. That is the *registration*, not the physical file. At approve time, `postdata` takes the lock on the base table named in the submit record, and the same service runs its "has this table been updated since the diff screen was shown" check against `MPE_DATALOADS`, keyed on that same `libref` and `dsn`.
-
-Two librefs over one location are two different `(libref, dsn)` pairs, so:
-
-- two approvals arriving through different reports take two different locks, and neither one blocks the other;
-- a load through one report writes its `MPE_DATALOADS` entry against its own name, so the other report's staleness check does not see it either.
-
-So two people editing the same rows through different reports can both be approved, and the second write wins, silently. The lock is advisory to begin with - `mp_lockanytable` is, in its own words, "only useful if every update uses the macro" - so this is not a new class of risk, but registering one file twice is a new way to fall into it.
-
-The hook route does not have this problem. Both mirrors route their submit to the same base table, so every approval locks, loads and logs against one identity.
-
-If you do use two librefs, and concurrency matters to you, the cleanest fix is to keep the two registrations for the edit screen and give each one a `POST_EDIT_HOOK` that re-points the changeset at a single canonical registration - then every approval is keyed on the same table regardless of which report raised it. Register that canonical name as well. The alternative, an explicit shared lock taken in `PRE_APPROVE_HOOK` and released in `POST_APPROVE_HOOK`, works too, but a failed run leaves the sentinel locked and `MPE_LOCKANYTABLE` is then a table you have to unpick by hand.
-
-## Option 2: an empty mirror and a pair of hook scripts
-
-Sometimes two librefs over one location are not available: a database library where the platform will not let you define the same object twice, or a site where adding a library definition is a change nobody wants to make. Then you can reach the same result with a mirror table and two hook scripts.
-
-The idea is that the thing Data Controller edits is not the real table at all, but an empty table of the same shape, with hooks moving data in and out of it:
-
-- a `PRE_EDIT_HOOK` fills the editor with the live rows of the real table, so the mirror never has to hold a copy
-- a `POST_EDIT_HOOK` re-points the submitted changeset at the real table, so the approval is raised against the real table and the load writes there
-
-The mirror exists purely to carry the rule set, and never stores any data.
-
-### The pre-edit hook
-
-`PRE_EDIT_HOOK` runs inside the `getdata` service, after the user's filter has been applied and the rows sorted, with the data in `work.OUT`. It may replace that dataset, which is all this needs:
-
-```sas
-data work.out;
-  set ORDERS.ORDERS;
-run;
-```
-
-The registered table is `ORDERS.MIRROR`, which is empty - so without the hook the editor would show nothing at all. With it, the grid shows the live rows:
-
-![An empty mirror displaying the live rows of the real table](mirror-live.png)
-
-Note the title bar: the mirror really is empty. Everything on screen came from the hook, and the grid is validated against the mirror's own rules rather than the real table's.
-
-### The post-edit hook
-
-This is the part that surprises people. `POST_EDIT_HOOK` runs inside the `mpe_loader` macro at submit time, on the staged rows, before the submit record is written. It cannot choose the target table directly - but at that point `LIBREF` and `DS` are still ordinary macro variables, and the submit record is built from them. Reassigning them re-points the whole changeset:
-
-```sas
-data _null_;
-  call symputx('libref','ORDERS');
-  call symputx('ds','ORDERS');
-run;
-```
-
-From that moment the changeset is an approval against `ORDERS.ORDERS`. The approver sees a diff against the real table, the load writes to the real table, and the mirror is never touched.
-
-![A change submitted against the mirror, raised against the real table](approval-routed.png)
-
-### The detail that will bite you
-
-Use `call symputx`, not `%let`. `LIBREF` and `DS` are not declared `%local` in `mpe_loader`, and the hook is included into that scope - so `call symputx` finds the existing variable and updates it, while a `%let` creates a new variable in the hook's own scope and is silently discarded. The hook runs, the log looks clean, and the changeset goes to the mirror anyway.
-
-### Other things to watch
-
-- Concurrency behaves correctly here. Both mirrors route their submit to the same base table, so every approval locks, loads and logs against one identity - unlike the two-libref route above.
-- The filter has already been applied to the empty mirror by the time the pre-edit hook runs, so a hook that reads the real table ignores the user's filter unless it re-applies it (`where %inc filtref`). On a small table you will not notice; on a large one the `DC_MAXOBS_WEBEDIT` cap will stop the edit screen with "Table is too big".
-- The hook's output must have the same columns the editor expects - the real table, minus any transaction or processing columns that Data Controller drops on load.
-- The real table must itself be registered in `MPE_TABLES`. The approval screen resolves the table's audit settings from that row, so a changeset routed to a table with no registration cannot be reviewed - the submit is refused up front, naming the table.
-- The mirror's `MPE_TABLES` row is read for the edit screen and the real table's for the load, so keep their `buskey`, `loadtype` and temporal column settings identical.
-- At approval time the access checks run against the real table, so editors need `EDIT` on the mirror while approvers need `EDIT` and `APPROVE` on the real table.
-
-## Which should you use?
-
-If you can define two librefs over the same data, do that. It is configuration only, it leaves every other behaviour of the editor untouched, and there is nothing to maintain.
-
-Reach for the hook scripts when the platform will not let you duplicate the library definition, or when you specifically want the rule set to be a property of the application rather than of the data.

content/feed/customer-story/index.md

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+---
+title: 'Data Controller for SAS® - a Customer Story'
+description: Data Controller for SAS® lets business users self serve their data updates - restricted access to the data values, with the data model protected.
+date: '2026-10-11 09:00:00'
+author: 'Data Controller'
+authorLink: https://www.linkedin.com/showcase/data-controller-for-sas
+tags:
+  - Announcements
+previewImg: './customer-story.jpeg'
+---
+
+# Data Controller for SAS® - a Customer Story
+
+Data Controller for SAS® empowers business users to self serve their data updates, by providing restricted access to the data *values* whilst protecting the data *model*. This short customer story shows what that looks like for Data and Analytics teams in regulated industries.
+
+The distinction is the whole point. An editor can add, correct and delete rows in the tables they are responsible for, but they cannot change the structure underneath - no new columns, no altered formats, no dropped keys. The shape of the table is fixed, and only its contents move. Every change is staged, validated at the point of entry, reviewed as a diff and approved by a data owner before it is loaded, with a full audit trail of who changed what, when and why.
+
+See it in action:
+
+<iframe title="Data Controller for SAS - a Customer Story" width="560" height="315" src="https://vid.4gl.io/videos/embed/kpSGoNE26FSif8X9A6pUfe" style="border: 0px;" allow="fullscreen" sandbox="allow-same-origin allow-scripts allow-popups allow-forms"></iframe>
+
+Would you like to see how this would work against your own tables? [Get in touch](/contact) to arrange a walkthrough.
+
+<!--
+Source LinkedIn post:
+
+Business users need to keep their data current. They do not need to change the tables underneath.
+
+Most tools blur the two. Hand someone a spreadsheet and they reshape the file. Grant write access to a production table and they can reshape the table. Neither is what you want.
+
+Data Controller for SAS® draws the line at the data VALUES. Business users self serve their updates - adding, correcting and deleting rows in the tables they own - with restricted access to what is inside the table, whilst the data MODEL stays protected. No new columns, no altered formats, no dropped keys.
+
+→ Every change is staged and validated at the point of entry
+→ Reviewed as a diff and approved by a data owner before it loads
+→ With a full audit trail of who changed what, when and why
+
+A short customer story, for Data and Analytics teams in regulated industries:
+
+✅ Watch the story, then book a Discovery Call - link in the comments.
+
+#sas #sasviya #datagovernance #datacapture #dataquality
+-->
+
+<!-- Image prompt:
+
+Generate a 16:9 landscape illustration for a B2B data-governance blog cover, 1200x627.
+
+Style: flat vector illustration, dark slate background (#314351) with a faint evenly spaced dot grid, brand green accent (#90c445), lighter slate panels (#2e4252), soft diffused shadows, subtle depth.
+
+Scene: a single data table drawn as two separated layers. The top layer is the table's structure - a header band of column blocks in muted slate, held behind a closed green padlock on the left. The bottom layer is the table's values - four rows of rounded cells in lighter slate, with two cells filled solid brand green and a small green pencil resting beside the lower right of the grid, as if those values are the ones being edited. A thin vertical gap separates the two layers, so the padlock reads as protecting the structure above while the open cells below are the editable values.
+
+Minimal text, no letters, no numbers, no logos, no watermark. Keep the subject inside the central square so a 1:1 crop is safe; the outer left and right thirds may be croppable background only.
+
+Output: save as ./customer-story.jpeg at 1200x627 (matching the other feed covers, and doubling as the LinkedIn share card). Do not also embed the image in the markdown body.
+-->

content/feed/support-diagnostics/index.md

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+---
+title: 'Support Diagnostics: browser_info and browser_url_vars'
+description: Data Controller sends two input tables with the startup service and with every service that runs customer code - the browser context and the page URL parameters. A support ticket can be answered from the job log, and a hook can read them.
+date: '2026-09-27 09:00:00'
+author: 'Data Controller'
+authorLink: https://www.linkedin.com/showcase/data-controller-for-sas
+tags:
+  - Announcements
+previewImg: './support-diagnostics.jpeg'
+---
+
+# Support Diagnostics: browser_info and browser_url_vars
+
+A support ticket usually starts with a round of questions. Which browser? Which timezone? Which build? What was in the URL? Data Controller now answers them itself. The frontend sends two input tables - `browser_info` and `browser_url_vars` - with the startup service and with every service that runs customer-provided code, so the context of a session is in the job log before anyone asks for it, and a hook script can read it.
+
+This ships with the next Data Controller release.
+
+## The two tables
+
+Both are ordinary input tables on the request: the adapter turns each array in the payload into a table in the service's WORK library, so they arrive as `work.browser_info` and `work.browser_url_vars`.
+
+### browser_info
+
+A single row, describing the client that made the request:
+
+| Column | What it holds |
+|---|---|
+| `url` | The URL of the Data Controller page itself (the iframe), not the document embedding it - so an embedded editor is distinguishable from a standalone one. |
+| `referrer` | The embedding document, from `document.referrer`. For an embedded report this is the report URL. |
+| `timezone` | The browser's IANA timezone, e.g. `Europe/Berlin`. |
+| `tz_offset` | The browser's UTC offset in minutes, as `Date.getTimezoneOffset()` returns it - positive west of UTC, so `Europe/Berlin` in summer is `-120`. |
+| `locale` | The browser locale, e.g. `en-GB`. |
+| `dc_version` | The Data Controller build, as `appinfo()` reports it. |
+| `adapter_version` | The `@sasjs/adapter` version the client was built with. |
+| `browser` | The browser family, parsed from the user agent. |
+| `browser_version` | The browser version. |
+| `platform` | The operating system. |
+| `user_agent` | The raw `navigator.userAgent` string. |
+
+### browser_url_vars
+
+One row per URL parameter:
+
+| Column | What it holds |
+|---|---|
+| `name` | The parameter name. |
+| `value` | The parameter value. |
+
+Parameters are read from both the search string and the hash query string, because Angular routes carry them after the `#`. Where the same name appears in both, the search string wins. The table is sent only when the page URL has at least one parameter.
+
+## Which services receive them
+
+| Service | When |
+|---|---|
+| `public/startupservice` | Once per session, so every job log carries the session context |
+| `editors/getdata` | The PRE_EDIT_HOOK |
+| `editors/stagedata` | The POST_EDIT_HOOK, through the loader |
+| `editors/restore` | The POST_EDIT_HOOK, through the loader |
+| `editors/getdynamiccolvals` | The dynamic cell dropdown programs |
+| `auditors/postdata` | The PRE_APPROVE_HOOK and POST_APPROVE_HOOK |
+| `editors/loadfile` | The POST_EDIT_HOOK - see the caveat below |
+
+Those are the services that run customer code. The viewer's `viewlibs`, `viewtables` and `viewdata`, the metadata services and `usernav` receive neither table, so the high-frequency calls stay lean.
+
+## Reading them in a hook
+
+A hook script is `%include`d into the running service, so it shares the service's WORK library and can read the tables directly. Take an embedded editor opened at:
+
+```
+https://datacontroller.io/#/editor/SASHELP.CLASS?labels=true&embed=va
+```
+
+`browser_url_vars` then holds a row per parameter - `labels=true` and `embed=va` - and a hook can read either by name:
+
+```sas
+%let labels=N;
+%let embed=N;
+
+%if %sysfunc(exist(work.browser_url_vars)) %then %do;
+  proc sql noprint;
+    select value into :labels
+    from work.browser_url_vars
+    where name = 'labels';
+    select value into :embed
+    from work.browser_url_vars
+    where name = 'embed';
+  quit;
+%end;
+```
+
+Or branch on what the user's browser reports:
+
+```sas
+data _null_;
+  set work.browser_info;
+  call symputx('dc_timezone', timezone);
+  call symputx('dc_locale', locale);
+run;
+```
+
+Note the `exist()` guard. A service called directly, or by a frontend older than this feature, has no `work.browser_info` at all, so an unguarded `set` or `select` would fail the job. Guard first, then read.
+
+## In the job log
+
+Turn debug on and the session initialisation writes both tables to the log, so a ticket can be diagnosed without a second round of questions:
+
+```
+NOTE: MPEINIT: work.browser_url_vars:
+name=embed value=va
+NOTE: MPEINIT: work.browser_info:
+url=... referrer=... timezone=Europe/Berlin tz_offset=-120 locale=en-GB
+dc_version=... adapter_version=... browser=Chrome browser_version=...
+platform=Linux user_agent=...
+```
+
+The debug value depends on the path - `&_debug=131` on the Compute API and SAS 9, `&_debug=128` on the Viya web (JES) path with `runAsTask` enabled, which is what the frontend sends there. Either way, switching debug on in the app is enough.
+
+## Worth knowing
+
+- The values are supplied by the client. Treat them as diagnostics hints, never as a security boundary.
+- `editors/loadfile` is reached through the adapter's multipart file upload, which carries no input tables, so in normal use that service - and the hook it runs - does not receive them. It is on the list for completeness.
+- Nothing else pays for the tables: they travel only with the services above.
+
+Full detail, including the column definitions and the log output, is in the [troubleshooting documentation](https://docs.datacontroller.io/dci-troubleshooting/).
+
+<!--
+Source LinkedIn post:
+
+A support ticket starts with questions. Which browser? Which timezone? Which build? What was in the URL?
+
+Data Controller now answers them itself.
+
+Two tables travel with the startup service, and with every service that runs your own code:
+
+→ browser_info - one row: browser and version, platform, timezone and UTC offset, locale, the DC and adapter builds, the page URL and the referrer
+
+→ browser_url_vars - one row per URL parameter, name and value, read straight into a macro variable
+
+Both land in the job log when debug is on, so a ticket can be diagnosed from the log instead of a round trip. Both are readable from a hook script - %include shares the service's WORK library, so a hook can branch on the user's timezone, or pick up a parameter from the URL.
+
+They are client supplied values: diagnostics hints, not a security boundary. Guard with %sysfunc(exist()) - a service called directly, or an older frontend, sends nothing.
+
+✅ Full detail in the Data Controller documentation - link in the comments.
+
+#sas #sasviya #datagovernance #datacapture #sasjs
+-->
+
+<!-- Image prompt:
+Generate a 16:9 landscape illustration for a B2B data-governance blog cover, 1200x627.
+
+Style: flat vector illustration, dark slate background (#314351) with a faint evenly spaced dot grid, brand green accent (#90c445), lighter slate panels (#2e4252), soft diffused shadows, subtle depth.
+
+Scene: two rounded panels side by side, each with a header bar in brand green and four rows of rounded cells. The left panel carries short uniform value blocks (the browser context); the right panel carries name-and-value pairs, drawn as a narrow block beside a wider one (the URL parameters), with a single row in the left panel highlighted in green. Between and below the panels a thin vertical connector line runs down to a wide, flat log strip of alternating short green rules on a lighter slate panel, suggesting the tables being written to a job log.
+
+Minimal text, no letters, no numbers, no logos, no watermark. Keep the subject inside the central square so a 1:1 crop is safe; the outer left and right thirds may be croppable background only.
+
+Output: save as ./support-diagnostics.jpeg at 1200x627 (matching the other feed covers, and doubling as the LinkedIn share card). Do not also embed the image in the markdown body.
+-->

content/feed/who-is-data-controller-for/index.md

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+---
+title: 'Data Controller for SAS® - Who Is It For?'
+description: Five roles, five questions - what Data Controller for SAS® answers for administrators, auditors, managers, data owners and purchasers.
+date: '2026-09-26 09:00:00'
+author: 'Data Controller'
+authorLink: https://www.linkedin.com/showcase/data-controller-for-sas
+tags:
+  - Announcements
+previewImg: './who-is-data-controller-for.jpeg'
+---
+
+# Data Controller for SAS® - Who Is It For?
+
+Data Controller for SAS® gives business users a safe way to add, modify and delete data in SAS tables and databases, without handing them write access to production. That one capability answers a different question for each role that touches the data - so here is the short version, role by role.
+
+## Data Administrators
+
+Would you grant self-serve data updates in SAS if there was no risk to the data model? That is the trade Data Controller offers. End users never get direct write access to the target tables - every change is staged, validated at the point of entry, and applied by the service itself. Data Controller changes data, not structure, so your data model stays as it is.
+
+## Data Auditors
+
+Do you need to know who made a particular data change, what that change was, when it was made, and who signed it off? Every submission carries a full audit trail, and any associated Excel file is retained alongside it, so the source of a change can be reviewed long after it was loaded.
+
+## Data Managers
+
+Do you want to load, modify or delete production data without writing repetitive code, saving sensitive data to shared filesystems, building and deploying jobs, or crafting long-winded change requests? Adding a new editable table is configuration rather than development - the grid is generated from the target table's metadata, and the load type (composite or retained keys, SCD2, bitemporal) is picked from a list.
+
+## Data Owners
+
+Do you like to review data changes before they are applied? Approvers see the diff - new, changed and deleted rows - and nothing lands until it is signed off. Email alerts can tell you when data is changed or about to change, and a completed load can trigger a SAS job downstream. If the wrong change gets approved anyway, the table can be rolled back to a previous state - and the rollback is itself a new, reviewable change, so the audit trail keeps both the mistake and the correction.
+
+## Purchasers
+
+How about a business friendly, no lock-in software licence? The price list is public, every package includes unlimited users, and a perpetual licence is available. The Community package is free, so evaluating Data Controller costs nothing but the installation.
+
+## What it is, in one line
+
+Data Controller for SAS® is a robust solution for secure data uploads into any SAS-connected database, with full audit trail and approval mechanism. Configuration is quick, installation is easy, and everything runs on your own SAS platform with no external calls.
+
+Multiple load types are supported (composite and retained keys, SCD2, bitemporal, format catalogs), data can be validated at the point of entry, and Excel end-user computing files can be dragged straight into SAS. Data Rollback, Data Catalog and Data Viewer come as standard.
+
+Data Control.
+
+Want to see it working on your own data? [Book a Discovery Call](/contact).
+
+<!--
+Source LinkedIn post:
+
+Data Administrators → would you grant self-serve data updates in SAS, if there was no risk to the data model?
+
+Data Auditors → do you require oversight of who made a particular data change, what that change was, when it was made, and who signed it off? And to review the original excel, if used as a source?
+
+Data Managers → do you prefer to load / modify / delete production data WITHOUT writing repetitive code, saving sensitive data to shared filesystems, building & deploying jobs, or crafting long-winded change requests?
+
+Data Owners → do you like to review data changes before they are applied? How about receiving email alerts or the ability to set up job triggers after tables are updated?
+
+Purchasers → how about a business friendly, no lock-in software licence?
+
+Data Controller for SAS® is a robust solution for secure data uploads into any SAS-connected database, with full audit trail and approval mechanism.
+
+Installation is easy and configuration is quick ⚡ Multiple load types supported (composite / retained keys, SCD2, Bitemporal, Format catalogs). Perform data validation at point of entry. Drag & drop Excel EUCs straight into SAS.
+
+Data Rollback, Data Catalog, Data Viewer.
+
+Data Control. ✅
+
+#sas #sasviya #sasusers #datagovernance
+
+https://lnkd.in/dunqWhnt
+
+Image prompt:
+
+Flat vector illustration, dark slate blue background (#314351), wide 1.91:1 banner (1200 x 627). Five simplified human figures stand in a shallow arc across the centre, each rendered in flat corporate style with minimal facial detail: an administrator beside a padlock, an auditor with a magnifying glass over a document, a manager holding a spreadsheet with an upward arrow, a data owner holding an approval tick, and a purchaser holding a price tag. Behind them, a translucent dashboard panel shows a data grid with one row highlighted as a pending change, and a small diff of new, changed and deleted rows. Thin connecting lines link each figure to the panel, suggesting that every role sees the same controlled workflow. Bright green accent (#90c445) used sparingly on the approval tick, the highlighted row and the connecting lines. Subtle depth with soft shadows, crisp edges. No text, no words, no letters, no logos, no watermarks. Keep the figures and the panel inside the central square so the image is safe to crop to 1:1 - the outer left and right thirds are background only.
+-->

static/two-rule-sets-one-table/index.html

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+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <title>One Table, Two Rule Sets has moved</title>
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