Choose your next depth / OPTIONAL DEPTH
Data apps with Streamlit, Plotly & Dash
Turn a tested dataset into an interface that communicates the right question.
Apply this to your Python data tools, PixelFed quality work, n8n integrations or BI delivery when the project needs it.
Understand the idea
Streamlit is useful for rapidly building Python-led data interfaces. Its execution and state behavior differ from a static Power BI report. Keep expensive data loading and transformations separated from the display and learn the cache/state rules before relying on them.
Plotly provides figures; Dash adds an application model with layouts and callbacks. Choose one small workflow first. Your existing Power BI skills transfer through metric definitions, filter behavior, accessible color and clear data provenance—not through copying every dashboard interaction unchanged.
What to learn
- Choose one framework and learn its state/rerun or callback model.
- Keep transformations testable outside the UI.
- Show empty, stale and invalid-data states with accessible labels.
Practice on your own data
Build a read-only quality dashboard from the synthetic CLI output. Show row counts, rejects, freshness and a filterable category chart.
Practice this lesson in the Python lab →
The chart reconciles to the CLI output; empty filters have a clear state; a reviewer can identify the source and limitations.
Prerequisites
DataFrames through a SQL lens · Build 02 · PixelFed quality CLI · Publish evidence & choose your next step
Video and playlist companions
Choose one explanation for the concept, then attempt the practice. These are topic mappings, not a claim that every linked lesson covers every outcome.
تطبيق عملي: مبادئ تصميم واجهات وتطبيقات علم البيانات | Streamlit Basics (Dashboards & Data Apps)
Loads YouTube on request. Open on YouTube ↗ if the owner restricts embedding.
Data Visualization using Dash, Plotly, and PowerBI
Loads YouTube on request. Open on YouTube ↗ if the owner restricts embedding.
Sources and further reading
- Streamlit · app fundamentals ↗Official project documentation
- Plotly · Python visualization ↗Official project documentation
- Dash · official introductory tutorial ↗Official project documentation
- تطبيق عملي: مبادئ تصميم واجهات وتطبيقات علم البيانات | Streamlit Basics (Dashboards & Data Apps) ↗User-selected YouTube resource
- Data Visualization using Dash, Plotly, and PowerBI ↗User-selected YouTube playlist