Open *Point of Sale → Reporting → Cooperative Dashboards* and pick one
of the predefined analyses:

* **Overview** — sales, margin and order count grouped by month.
* **Members vs Non-members** — same axes split by cooperative
  membership at the order date.
* **Top Members** — sales aggregated per cooperative member, sort by
  total to obtain the top buyers.
* **By Category** — sales by product family (root category); drill down
  to subfamily and product from the *Group By* menu.
* **Top Products** — sales per product.
* **By Day of Week / By Hour of Day** — temporal distributions.

In every view, additional dimensions are available from the *Filters*
and *Group By* menus: ``Members``, ``Non members``, ``Member``,
``Product Family``, ``Product Subfamily``, ``Day of Week``,
``Hour of Day``.

Time dimensions
===============

* ``day_of_week`` is the ISO day number (``EXTRACT(ISODOW FROM
  date_order)``): **1 = Monday, 2 = Tuesday, 3 = Wednesday, 4 =
  Thursday, 5 = Friday, 6 = Saturday, 7 = Sunday**.
* ``hour_of_day`` is the integer hour in the order's timezone
  (``EXTRACT(HOUR FROM date_order)``), 0..23.

These are deliberately exposed as integers rather than translated
labels so they aggregate cleanly in pivots, charts and spreadsheet
formulas. Map the numbers to weekday names in the consumer (for
example, in the o-spreadsheet dashboards) if a localized label is
needed.

Pivot views support the ratios defined by ``web_pivot_computed_measure``
(e.g. average ticket = total sales / order count). Click *Insert
Computed Measure* in the pivot's *Measures* menu.

For curated dashboards rendered in Odoo's *Dashboards* menu, install
the companion module ``spreadsheet_dashboard_pos_cooperative``.
