1.3 · Filters, sorts & linked views

Level 1 · Beginner: organising with Notion

1.3Filters, sorts & linked views

Goal: build filtered/sorted views per use and display a database elsewhere via linked views.
Estimated time: 12 min · self-paced reading · If you only have 5 min: read “The essentials in 30s” + the diagram.

The essentials in 30 seconds

  • Filter = show, sort = order: the filter only keeps the rows matching a condition («Status = In progress»), the sort orders them (by due date, priority).
  • Specific to each view: each view has its own filters and sorts — «My tasks for the week», «Overdue projects» on the same database.
  • Linked views, zero copying: display the database elsewhere (dashboard) with its own settings — one dataset, one place, several views.

Running mini-case — Lina steers without copying in Oran

Lina's «Projects» database is growing and her team is getting lost in it: everyone copies rows into their own table, and versions diverge. Lina creates three views — «This week» (Due date within 7 days, sorted by date), «My projects» (Owner = self, grouped by Status), «Overdue» (Due date passed AND Status different from Done) — then displays the database on the «Dashboard» page via a linked view. A single source, visible everywhere: personal copies disappear.

Continued from cases 1.1-1.2 — Lina turns her database into dashboards.

1. Filtering and sorting: making data actionable

A database becomes useful when you filter and sort it. A filter only shows the rows matching a condition («Status = In progress», «Due date = this week», «Owner = me»). A sort orders the rows (by due date, by priority). Combined, they turn a mass of data into actionable dashboards: «My tasks for the week», «Overdue projects».

Lina filters «Due date within 7 days» and sorts by date: her «This week» view tells her every morning where to start.

2. Specific to each view: multiply angles, not data

Key point: filters and sorts are specific to each view. You create several views of the same database, each with its own settings, without duplicating data. Editing a task in one view edits it everywhere, because there is only one source.

Lina corrects a due date in «This week»: the «Overdue» view and the Kanban follow immediately — one dataset, a single place.

3. Linked views: the same source, displayed elsewhere

Even more powerful: linked views display a database elsewhere in Notion (another page, a dashboard) with their own filters, without duplicating data. A single source of truth, displayed wherever useful: the end of copy-paste and out-of-sync versions.

Lina inserts a linked view of «Projects» on her «Dashboard» page: her manager sees progress without ever touching the source database.

Common misinterpretation: «For a filtered version, I'll duplicate the database» or «several views = duplicated data». No. Views are only filtered windows on the same data: editing in one view edits everywhere. Duplicate a database only to restart from a template with a distinct dataset — to show the same thing elsewhere, use a linked view.
From data to dashboard One source, several windows One database Dataentered onceFilter + sort Per view(this week, overdue)Linked view + dashboard Displayedelsewhere without copying
One source, several windows
Text version of the diagram (SEO / screen readers / translation): 1) Filter: Lina creates «This week» (Due date within 7 days + sort by date) and «Overdue» (Due date passed AND Status different from Done). 2) Vary: each view has its own filters on the same «Projects» database — no duplication. 3) Link: a linked view displays the database on the «Dashboard» page. Lesson: one dataset, a single place, several views — the end of out-of-sync copies.

The graveyard of copies (never do this)

«I'll duplicate the database to make my filtered version.»
Verdict: two sources diverging from the first correction — a filtered view would have done the job.
«I have my personal copied table, it's up to date… I think.»
Verdict: «I think» is the symptom — the linked view by Owner gives the same vision, always up to date.

Moral: copying is divorcing the truth — linking is staying in sync.

🔎 Concrete example — 🔎 Concrete example — Three useful views

On the same task database.

«This week» : Due date ≤ 7 days, sorted by date
«My tasks»   : Owner = me, grouped by Status
«Overdue»    : Due date < today AND Status ≠ Done
→ linked view on the Dashboard page.

Reading: three filtered windows on the same Lina projects.

Lesson: one dataset, a single place, several views.

Section vocabulary

Filter
A condition that hides rows that do not meet it (e.g. Status = In progress); specific to each view.

Simple example: The «Due date within 7 days» filter of Lina's «This week» view.

What it is not: deleting the other rows from the database.

Reflex: one clearly named filter per use.

Sort
The display order of rows by one or more properties (by date, priority…); specific to each view.

Simple example: The sort by due date that orders Lina's projects from most urgent to most distant.

What it is not: a filter that hides rows.

Reflex: sort by what drives action (date, priority).

Filtered view
A database view configured with filters/sorts for a specific use («My tasks for the week»).

Simple example: Lina's «Overdue» view (Due date passed AND Status different from Done).

What it is not: a duplicated database to «make a filtered version».

Reflex: one view per question: what this week? what is overdue?

Linked view
A display of an existing database on another page, with its own filters, without duplicating data.

Simple example: The «Projects» database displayed on Lina's «Dashboard» page.

What it is not: an independent copy that will diverge from the original.

Reflex: displaying elsewhere = linked view, never a copy.

Single source of truth
Principle: a dataset exists in only one place, displayed everywhere via views; avoids out-of-sync copies.

Simple example: Lina's projects, entered once and visible in Kanban, Calendar and dashboard.

What it is not: five personal copied tables that no longer say the same thing.

Reflex: copy spotted = linked view to create.

In practice — In practice — Building filtered and linked views

  1. On your task database, create a «This week» view: Due-date-within-7-days filter + sort by due date.
  2. Create a «My tasks» view: Owner = you filter, grouped by Status.
  3. Create an «Overdue» view: Due date < today AND Status ≠ Done filter.
  4. On a «Dashboard» page, insert a linked view of this database to display it without duplicating it.
You turn a database into actionable dashboards (filters/sorts per view) and display the same source everywhere via linked views.

Ready-to-say script — stopping diverging copies (30 s)

«Stop copying the table: I'll create a linked view on the Dashboard page with your filters. You'll see the same source as everyone, updated in real time — and every correction is made in a single place.»

To say to a colleague who maintains «their» copy of the table.

Copy-paste template — view plan

SOURCE DATABASE: _______________
VIEW 1 «This week»: filter _______________ + sort _______________
VIEW 2 «My tasks»: Owner = me filter, grouped by _______________
VIEW 3 «Overdue»: filter _______________ AND _______________
LINKED VIEW on page: _______________ (own filters: _______________)
COPIES TO DELETE: _______________

Team that copies everything

List the personal copies, replace them one by one with linked views filtered by Owner: everyone keeps «their» vision, on the single source — like Lina in Oran.

Weekly steering

Monday ritual: open «This week» sorted by due date + «Overdue» — ten minutes to prioritise, with no new table.

Management dashboard

A «Dashboard» page with two linked views (Kanban by Status, «Overdue» list): management follows progress without touching the working database.

Genuine template reuse

Only legitimate duplication case: restarting from the structure for a distinct dataset (e.g. new year, new project) — otherwise, linked view.

✓ Best practices

  • One named view per use.
  • Linked views for dashboards.
  • One dataset, one place, several views.

✗ Common pitfalls

  • Duplicating to «filter».
  • Linked view confused with copy.
  • Diverging personal copies.

Key takeaways

  • A filter only shows the rows matching a condition; a sort orders them.
  • Filters and sorts are specific to each view: several views of one database, with no duplication.
  • Linked views display a database elsewhere with their own settings.
  • Result: a single source of truth, displayed everywhere — the end of out-of-sync copy-paste.

48h challenge — apply it tomorrow

Create your 3 views («This week», «My tasks», «Overdue») on your database + 1 linked view on a «Dashboard» page. Then delete one copy. 25 minutes is enough.

Section exit checklist
  • I can explain filter (show) vs sort (order), specific to each view.
  • I know when to duplicate (template, new dataset) vs link (same source).
  • I have 3 views + 1 linked view + deleted one copy.
Self-assessment 1-5: are there any copies of my database left anywhere?does each view answer a specific question?

Frequently asked questions

If I create several views, do I duplicate my data?

No, never — and that is the whole point. A database holds the data only once; views are just windows filtered/sorted on that same data. Editing a task in one view edits it everywhere, because there is only one source. It is exactly the opposite of the «I'll copy my table to make a filtered version» reflex, which creates out-of-sync duplicates. In no-code as in databases, the golden rule is: one dataset, a single place, several views.

What is the difference between a linked view and a duplicated database?

A linked view points to the source database: the data stays unique and synchronised; you see the same information elsewhere, with filters suited to that place. A duplicated database creates an independent copy: from then on, both evolve separately and diverge. Use the linked view whenever you want to «show the same thing differently/elsewhere» (dashboard, project page). Only duplicate a database if you really want to restart from a template for a distinct new dataset.

Check your understanding

If I create several views of the same database, do I duplicate the data?

Additional resources (optional, to go further)

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