Create a Heatmap online with InstaNANO
The InstaNANO Graph Plotter can create a heatmap directly in your browser. The interactive graph above is already initialized with example data. Replace those values with your own table, assign the supported column roles, adjust the graph settings, and inspect the result on the same page.
A heatmap displays a numeric Z value as colored cells across numeric X and Y coordinates. Use it when measurements occupy a grid and the local value at each sampled cell is the primary result.
Required data columns and series controls
| Column role | Supported layout | How InstaNANO uses it |
|---|---|---|
| X-axis | Numeric grid coordinate | The horizontal grid coordinate. |
| Y-axis | Numeric grid coordinate | The vertical grid coordinate and source of the base Color and Name. |
| Z-axis | Numeric field value | The value mapped to the color scale. |
The Y-axis Color and Name rows provide the base series identity. Z values are encoded by the graph color scale; X-axis and Z-axis columns do not have Color or Name cells.
How to make this graph
- Start with the working example. Review the graph and table loaded above so the relationship between the columns and plotted marks is visible before you replace the values.
- Enter or paste your data. Keep the columns in the supported order shown in the table below the graph. Use the Axis row to assign each column’s role.
- Name and distinguish the series. Where the current graph supports them, use the Name row for the displayed series label and the Color row for its color.
- Check the scientific context. Add meaningful axis titles and units, review scale choices, and confirm that row order, missing values, uncertainty columns, or normalization match the intended interpretation.
- Refine and export. Use the available graph controls described below. When the figure is ready, sign in to export a PNG with Download Graph or preserve an editable
.instananofile with Save Project.
What the loaded example demonstrates
The loaded table is a rectangular X–Y grid with a “Response Surface” Z value at each location. It demonstrates the grid structure required by the rendered field views.
What InstaNANO calculates and renders
The renderer constructs ordered X and Y coordinates, draws a rectangular cell for every supplied finite X–Y–Z row, and maps Z to a continuous color scale. It can show supplied cells even when the grid is incomplete.
Gradient stops control the Z color scale. The field renderer uses the first complete X–Y–Z series block for this graph type.
Scientific instruments and research data suited to this graph
Use it for measured response maps, spatial scans, or parameter sweeps where each recorded coordinate pair has a direct Z measurement.
Broad instrument and data coverage
- Microscopy and surface maps: Numeric X–Y–Z measurements derived from AFM height or phase maps, profilometry, confocal scans, SEM/TEM/STEM intensity maps, and EDS/EELS elemental maps. Raw images must first be converted to coordinates and values.
- Spectroscopic and diffraction mapping: Raman, FTIR, photoluminescence, XRD, XRF, XPS, or hyperspectral map values represented at measured spatial or parameter coordinates.
- Thermal, electrical, magnetic, and mechanical fields: Temperature, heat flux, potential, current density, magnetic response, strain, stress, displacement, hardness, or other mapped values over two coordinates.
- Experimental design and process optimization: Yield, conversion, selectivity, response, quality, or performance across two controlled variables on a grid or sampled coordinate field.
- Simulation and modeling fields: Finite-element, fluid, thermal, electromagnetic, diffusion, phase-field, and other computed scalar fields, provided that interpolation or faceting is consistent with the numerical model.
Representative questions for this exact graph
- Measured intensity across an X–Y scan grid.
- Temperature, response, or composition values across a parameter sweep.
- A matrix of directly observed Z values where missing cells should remain visibly absent.
This coverage is not limited to the instruments named above. InstaNANO can plot other experimental, microscopy-derived, computational, simulation, and processed research data when the required column roles are present and this graph’s encoding is scientifically appropriate.
Data checks before interpretation
- Check coordinate spacing, duplicate locations, and missing grid cells before interpreting interpolation or contours.
- Keep the Z color scale and units visible because color is the quantitative encoding.
Frequently asked questions about Heatmap
Does a heatmap interpolate values between the supplied cells?
A colored cell represents its supplied observation and does not interpolate neighboring values. Uneven grid spacing changes cell boundaries, so retain the coordinate values and color legend when comparing regions.
Can I plot data from instruments or research workflows not listed here?
Yes. The instrument and dataset examples on this page are representative rather than a fixed compatibility list. InstaNANO can create a heatmap from other experimental, computational, simulation, and processed research data when the table follows these roles: X-axis (numeric grid coordinate), Y-axis (numeric grid coordinate), Z-axis (numeric field value). Microscopy use refers to numeric profiles, coordinates, dimensions, counts, intensities, distributions, or map values extracted from images; the graph does not convert a raw micrograph into numerical data.
Can I use this heatmap in a publication, thesis, report, poster, or presentation?
Yes, after scientific and visual review. InstaNANO can be used to prepare a heatmap for a journal manuscript, thesis or dissertation, technical report, poster, conference slide, classroom presentation, or other formal scientific communication. After sign-in, Download Graph exports a PNG, defaults to 600 dpi, and offers a transparent-background option. For this graph, show the X, Y, and Z units, color scale, sampling density, grid completeness, and whether interpolation, contours, or facets are derived between observations. Also check final dimensions, font size, line and symbol weight, color accessibility, caption content, and the destination’s required file format. The current export is PNG, so a journal that requires TIFF, EPS, PDF, SVG, or another format needs a journal-specific workflow. InstaNANO supports figure preparation, but it cannot guarantee that a journal, conference, institution, or publisher will accept a figure.
Choose a related graph when needed
Choose Interpolated Heatmap for a complete grid and a deliberately smoothed display, or Contour Lines when threshold geometry is the clearer interpretation.
Plot your data or compare graph types
Edit the loaded Heatmap example above to test your own values. If this encoding does not match the scientific question, compare the complete graph-type directory or return to the online graph plotter.