Skip to content
~/reflective_data

analytics-dictionary / tool overview / bi & reporting

Jupyter Notebook

Jupyter Notebook is an open-source tool for writing and running code, such as Python, alongside text and charts in one document.

Written by Reflective Data experts · updated Oct 5, 2026

Analysts and data scientists use notebooks to explore data, build models and share reproducible analysis. Each cell can run code and show its output directly beneath it.

Notebooks are great for exploration and storytelling. For repeatable production work, move stable logic into tested pipelines and models.

related

Ad hoc analysisData storytellingSelf-service BI

// how we can help

We build BI and dashboards people actually use, on the tools you have or the right new one. Notebooks in Explore → · Explore on the platform

more in bi & reporting

drill-down.md

Drill-down

Drill-down lets you move from a summary to the underlying detail, for example from country to…
kpi.md

KPI (key performance indicator)

A KPI is a measurable value that shows how well you are achieving an important business…
scorecard.md

Scorecard

A scorecard is a compact view of a handful of KPIs against targets, often with status…
dashboard.md

Dashboard

A dashboard is a visual display of the most important metrics, designed to be understood at…
embedded-analytics.md

Embedded analytics

Embedded analytics puts charts and dashboards inside your own product or customer portal.
metabase.md

Metabase

Metabase is an open-source business intelligence tool for simple, self-serve exploration of data.

← full analytics dictionary