Visualization

Reproduce scientific plot templates like SHAP, ROC, Taylor and heatmap figures

Develop and upload custom Lightdash chart types locally with a live preview

Edit, build and upload Lightdash data apps locally from downloaded projects

Manage Lightdash YAML, dbt metadata, CLI deploys, charts and dashboards

Wire Lightdash query results into HTML or React pages with polling and CSV fallback

Render analysis results as line, bar, area or scatter charts saved as images

Count categories and their shares, then chart them as bar and pie visuals

Build cross-analysis reports with high-resolution comparison charts for large files

Build styled bar charts and grouped totals from multi-sheet Excel data with Chinese fonts

Chart trends, distributions and parameter sensitivity from structured data with clustering

Summarize categories from Excel or CSV into pie charts and downloadable share reports

Analyze category shares with crosstabs and heatmaps for awards, performance and markets

Turn percentage-based category shares into stacked bar charts over time or categories

Choose and build publication-quality figures and companion tables for results sections

Build interactive explainers and calculators with a checked reference model

Design and check trustworthy charts and dashboards for data stories and reports

Make accurate maps, route guides and floor plans with real boundaries and scale

Build fully customized matplotlib plots and export publication-ready figures

Create multi-panel, colorblind-safe figures formatted for Nature, Science or Cell

Make distribution, box, violin and heatmap plots quickly with seaborn

Generate scheduled HTML report cards, trackers and digests as visual pages

Build data dashboards and large-screen boards with cleaned data and cards

Animate editorial line, bar and range charts with newsroom typography in video

Build a Swiss-grid statistic graphic with a giant number and growing bars

Render line, bar, candlestick and heatmap charts as PNG images from data

Render JSON data as self-contained HTML or SVG infographics and dashboards

Build interactive timeline pages from JSON for milestones, histories or resumes

Build a dashboard page with real work woven into its design and live fields

Turn a LinkedIn analytics export into an interactive dashboard with recommendations

Make publication-quality matplotlib figures with uncertainty and page sizing

Make journal-ready physics plots with vector fields, streamlines and 3D surfaces

Build accessible, truthful scientific figures with Matplotlib, Seaborn and Plotly

Plot and compare simulation time-series metrics across multiple cases

Build WebGL maps with points, lines, heatmaps and layers using AntV L7

Build and test Vizro dashboards in Python from a finished design spec

Plan a Vizro dashboard through requirements, layout and chart choices first

Lay out Vizro dashboard grids, controls, filters and chart sizing

Pick Vizro chart types, KPI cards and AG Grid tables with Plotly Express colors

Add cross-filter, drill-through and export actions to Vizro dashboard charts

Write and debug Vizro YAML dashboard configs, filters and custom functions

Serve a converted LeRobot dataset in the browser to inspect videos and timelines

Create auto-updating Obsidian dashboards and tables with Bases or Dataview

Make publication-quality Python plots for papers with top-journal color schemes

Pick the chart type that shows a data relationship most clearly before plotting

Polish paper-ready charts through render, inspect and revise passes

Make journal-ready multi-panel figures in Python or R as SVG, PDF or TIFF

Turn numeric data into publication-quality figures using bundled paper-style templates

Build a live React canvas with charts, tables and timelines beside your chat

Choose chart types and encodings with accessible axes, labels and styling