Content Calendar Template (XLSX)
A monthly content calendar tracking posts across channels with owner and status columns and a COUNTIF that tallies published items — a realistic marketing planning sheet.
Rendered preview of the xlsx file (5.4 KB). Download above for the original.
Specifications
- Type
- content calendar
- Columns
- date, channel, type, title, owner, status
- Formula
- COUNTIF published
What is a .xlsx file?
XLSX is the default Microsoft Excel format, an Office Open XML spreadsheet stored as a ZIP archive containing worksheet XML, shared strings, styles, and formulas. It supports multiple sheets, cell formatting, charts, and calculated values. It is the standard for editable tabular workbooks.
How to use this file
Use an example XLSX to test spreadsheet parsing, formula and multi-sheet handling, shared-string extraction, and pipelines that read or generate Excel workbooks.
How to use this file for testing
“Content Calendar Template (XLSX)” is a deterministic Novus Examples fixture for Templates, Spreadsheet testing. Professional, neutral starting-point documents you can download and adapt — invoices, resumes, budgets, and more.
Documented properties for this file: content calendar. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
This template ships filled with realistic sample content and documented fields and formulas. Download it as a starting point, or point a converter/parser at it — format twins (for example DOCX↔PDF) let you diff conversion fidelity.
Code examples
from openpyxl import load_workbook
wb = load_workbook("content-calendar.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)Related files
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