Visualizations

Interactive dashboards, notebooks, and embeddable charts

Browse interactive projects built with Plotly, D3, Observable, Bokeh, R Shiny, and Jupyter widgets.

plotly v1.2

Global CO₂ Emissions Explorer

Interactive Plotly dashboard tracking CO₂ emissions across regions with scenario toggles.

  • climate
  • python
  • dashboards
Live demo Source

d3 v0.9

Streaming Sensor Scatterplot

WebGL-accelerated D3 scatterplot that streams manufacturing telemetry with brushing controls.

  • manufacturing
  • streaming
  • javascript
Live demo Source

observable v1.0

Observable Notebook — Topic Modeling

Observable-powered topic modeling notebook with live parameter tuning and data provenance notes.

  • nlp
  • notebooks
  • reproducibility
Live demo Source

bokeh v2.3

Bokeh Pipeline Performance Monitor

Bokeh dashboard summarising nightly ETL run durations with alert thresholds and filters.

  • etl
  • python
  • operations
Live demo Source

shiny v1.4

R Shiny Demand Forecaster

Forecasting interface for retail demand with what-if scenarios and automated report exports.

  • forecasting
  • r
  • retail
Live demo Source

ipywidgets v0.6

Jupyter Widget Model Inspector

Ipywidgets-powered model inspector for comparing feature importance distributions interactively.

  • machine-learning
  • explainability
  • python
Source

Embed Examples

The following live examples demonstrate how DataLog renders interactive visualizations inline. Libraries are lazy-loaded when they scroll into view.

Plotly — Model Performance Drift

F1 score drift, production versus shadow model

Monthly F1 score for the deployed model and its shadow challenger

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D3 — Feature Contribution Snapshot

Observable — Zoomable Sunburst

Bokeh — Pipeline Latency

R Shiny — Retail Demand Forecaster

Jupyter Widgets — Feature Importance Inspector

Integration Guide

Every visualization block stores version and update metadata for change tracking. Libraries are lazy-loaded only when they enter the viewport, keeping long pages performant.

Supported integrations:

Plotly.js

JSON-defined charts with export controls and responsive sizing.

D3.js

Custom SVG visualizations with inline scripts and data binding.

Observable

Notebook embeds with live parameter tuning and reactive cells.

Bokeh

Python-generated interactive plots with server-side rendering.

R Shiny

Full R applications embedded via iframe with responsive height.

Jupyter Widgets

ipywidgets state rendered client-side for interactive controls.