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# The First Dashboard Is Easy. The Fifth Feature Request Usually Isn't.

**[KubeBlogs](https://daily.dev/sources/kubenineconsulting)** · [@divyansh30](https://daily.dev/divyansh30) · 1 min read · 0 upvotes · 0 comments

## Summary

Building dashboards starts simple but grows complex as users request filters, date ranges, drill-downs, and real-time updates. The real challenge is making data explorable without degrading usability. A tutorial using Django and Chart.js demonstrates how to build interactive charts and dashboards for web applications.

## Content

The first dashboard is usually straightforward.

Then someone asks for filters.

A week later they want custom date ranges.

Then drill-down views.

Then real-time updates.

At some point, the dashboard stops being a reporting page and starts becoming a product feature.

The difficult part usually isn't generating the data.

It's turning that data into something users can explore without making the interface harder to use.

A lot of dashboard complexity comes from trying to answer new questions that nobody thought about when the first chart was built.

I found this walkthrough useful because it shows how Django and Chart.js can be used together to build interactive charts and dashboards for web applications:

[https://www.kubeblogs.com/chart-js-django-tutorial-create-interactive-charts-and-dashboards-2/](https://www.kubeblogs.com/chart-js-django-tutorial-create-interactive-charts-and-dashboards-2/)

## Similar posts on daily.dev

- [Vibe-Coding a Dashboard? Here Are 5 Steps So It Doesn't Suck](https://daily.dev/posts/vibe-coding-a-dashboard-here-are-5-steps-so-it-doesn-t-suck-6xusrruly) · MotherDuck · 0 upvotes · 0 comments

---

Tags: [#python](https://daily.dev/tags/python), [#django](https://daily.dev/tags/django), [#data-visualization](https://daily.dev/tags/data-visualization)

[View this post on daily.dev](https://daily.dev/posts/the-first-dashboard-is-easy-the-fifth-feature-request-usually-isn-t--iq3oiurdf)

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