Scispot Analyze Agent helps wet-lab teams turn Labsheet or CSV data into interactive, publication-ready charts using normal language. This page is a gallery of supported graph types, with example prompts and outputs that match common lab questions. Think scatter plots for QC, heatmaps for plate or storage maps, distributions for variability, KPI indicators for review, maps for field sampling, and 3D views for depth-and-time studies.
This article is a full gallery of graph types supported by Scispot Analyze Agent.
Simple
Scatter | |
Scatter GL
| |
Bar | |
Pie | |
Heatmap | |
Heatmap GL | |
Contour | |
Volcano |
Map Traces
Scatter Geo: Plots markers on geographic coordinates using map projections. Ideal for samples collected by latitude/longitude.
Choropleth: Colors polygons (e.g., countries or states) by a value. Useful for regional statistics.
Scatter Map: Plots scatter points on map subplots for consistent map styling.
Scatter Mapbox: Adds markers to Mapbox vector maps for detailed street‑level context
Choropleth Map: Newer replacement for
choroplethmapboxthat works with themapsubplot systemDensity Map: Heatmap‑like map showing spatial density using hexagonal binning or kernel density estimation
Density Mapbox: Density plots on Mapbox basemaps for fine‑grained geographic patterns
Distribution Traces
Box | |
Violin | |
Histogram | |
Histogram 2D Contour |
Additional distribution traces that are supported are:
Histogram 2D: Shows the joint distribution of two numeric variables as a grid of bins with color intensity representing counts. It’s similar to a heatmap of counts.
Indicator: Displays a key performance indicator as a number, gauge or delta arrow (e.g., to show yields or QC metrics)
Finance Traces
OHLC | |
Candlestick | |
Waterfall | |
Funnel | |
Funnel Area |
3D Traces
Scatter 3D | |
Surface | |
Mesh | |
Streamtube | |
Volume |
Additional 3D traces that are supported are:
Cone: Visualizes 3‑D vector fields with cone arrows pointing in the direction of the field. Helpful for showing gradients or fluid flow.
Isosurface: Renders surfaces representing constant values within a 3‑D volume (e.g., isodensity surfaces). It’s like contour lines but in 3‑D.
Specialized Traces
Scatter Polar | |
Scatter Ternary | |
Scatter Smith | |
Sunburst | |
Treemap | |
Icicle |
|
Sankey | |
Parallel Categories | |
Carpet | |
Scatter Carpet | |
Contour Carpet |
Additional specialised traces that are supported are:
Scatter Polar GL: GPU‑accelerated polar scatter plot for large datasets on polar axes
Bar Polar: Radial bar charts where bars extend outward from the center. Useful for cyclic data such as time‑of‑day or compass directions.
SPLOM (Scatter‑plot matrix): Shows pairwise scatter plots of multiple variables, helpful for exploring correlations.
Parallel Coordinates: Displays multi‑dimensional data using parallel axes where lines connect values across axes. Great for comparing many features.
Most common examples across Scispot customers
Line Plot (Kinetics / Time Course)
Use case: Activation over time (e.g., Ki-67⁺/CD25⁺ % at 24h, 48h, 72h)
Box Plot / Violin Plot
Use case: Distribution of activation %, QC metrics, donor variability
Dose–Response Curve (4PL/5PL)
Use case: EC50 / IC50 / Emax calculation
Heatmap
Use case: Plate-level overview, QC patterns, marker intensity
Sankey Diagram
Use case: Sample lineage and traceability
Stacked Bar Chart
Use case: QC status by instrument / site / assay
Scatter Plot with QC Overlay
Use case: Replicate consistency, outlier detection
UMAP / Dimensionality Reduction Plot
Use case: Cell population structure
Table + KPI Tiles (Metadata Completeness)
Use case: Missing metadata, standardization compliance
Conclusion
Once your data is in a Labsheet or a flat file within Scispot, the biggest unlock is speed to insight tailored to your scientific needs.