ReaderFunded · site

Valerie Junk

valeriejunk.nl

Valerie Junk, “Power BI Data Visualization and Storytelling”, is a tech site on valeriejunk.nl, in English, funded by its readers: about 9 paying supporters on Buy Me a Coffee, estimated.

Power BI tutorials, data visualization and Microsoft Fabric guidance by Valerie Junk, a Microsoft Data Platform MVP, on her website.

Visit Valerie JunkSupport on Buy Me a Coffee

Is this your site? There is a badge you can show, with the live figure.

Latest posts

• FabCon Europe 2026 Recap2026-10-05
• Fabric Apps Write-Back Dashboard Tutorial2026-09-09
• Clean Up Your Matrix Visual (8 step tutorial)2026-05-05
• Speaking @ SQLBits 20262026-05-03
• Speaking @PBIG Netherlands 20262026-03-08
• Power BI Tables – Column Grow to Fit2026-02-15
• Speaking @ Fabric February 20262026-02-15
• Animated dashboard with toggle button2026-01-13

From the site's feed, read 2026-10-14.

Pages

38 pages indexed; the pages that lead the site by its internal links:

Standing

Verified funding

• buymeacoffee https://buymeacoffee.com/valeriejunkverified 2026-08-28

Badge

For the site's owner: a badge that says readers fund it, linked to this page. It shows the live figure, so it never goes stale; a count appears once a platform publishes one.

HTML

<a href="https://readerfunded.com/site/valeriejunk.nl"><img src="https://readerfunded.com/badge/valeriejunk.nl.svg" alt="Reader-funded, verified by ReaderFunded" height="20"></a>

Markdown

[![Reader-funded, verified by ReaderFunded](https://readerfunded.com/badge/valeriejunk.nl.svg)](https://readerfunded.com/site/valeriejunk.nl)

Neighbourhood

Linked from 8 domains, links to 0; of the latter, the funded sites are shown. Funded sites first, then the sources that link to fewest other funded sites. Links as seen in the Common Crawl domain graph (cc-main-2026-aug-sep-oct), cut 2026-10-23: the pages crawled in a window of three months, not necessarily the site of today, and a page not crawled in that window leaves no link.

Similar funded sites

Sites the same sources link to, by cosine over the sets of linking domains. More.