Announcing Online XRD Phase Identification and Pattern Matching Tool X
or
Login with Google
Size:
Color:
Font:
Bold:
Italic:
Sup:
Sub:
Zoom:
Add Text:
Remove
Save Project Download Graph
X-Scale:0.00
Y-Scale:0.00

Add Formula Column

Use columns A, B, etc. with +, -, *, /, ^, parentheses, log10, sin, cos, sqrt, or exp. sin and cos use radians.
Examples: A/100, sqrt(A^2+B^2), der(B,A), -der(B,A), tauc(direct-allowed). Tauc types: direct-allowed, direct-forbidden, indirect-allowed, or indirect-forbidden.

Bar Chart

Cite This in Your Publication

Bar Chart - InstaNANO. https://instanano.com/online-graph-plotter/graph-type/bar/ (accessed August 28th, 2026).

Create a Bar Chart online with InstaNANO

The InstaNANO Graph Plotter can create a bar chart 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 bar chart compares numeric values across named categories. Use it when the X values are discrete samples, materials, conditions, or other categories rather than a continuous measurement axis.

Required data columns and series controls

Column roleSupported layoutHow InstaNANO uses it
X-axisOne categorical label columnDefines the category for each bar.
Y-axisOne or more numeric value columnsCreates one bar series for each enabled Y-axis column.

Each Y-axis Color and Name row controls the corresponding bar series. X-axis labels are category names rather than a continuous numerical scale.

How to make this graph

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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 .instanano file with Save Project.

What the loaded example demonstrates

The loaded table uses material labels with two phase-related value columns. It demonstrates categorical X labels and multiple Y-axis bar series, not a phase analysis method.

What InstaNANO calculates and renders

The renderer builds a categorical X scale and draws grouped bars for each Y-axis series. Bars start from the zero baseline selected by the current scale domain.

The categorical renderer supports Y-axis scale settings and relevant series styling; X is treated as a band of labels rather than a numeric scale.

Scientific instruments and research data suited to this graph

Use it for comparisons such as measured properties across samples, phase-related fractions, or results from discrete experimental conditions.

Broad instrument and data coverage

  • Spectroscopy and diffraction summaries: Peak position, intensity, area, width, crystallite-size estimate, band ratio, binding-energy shift, or other externally derived metrics compared across named samples or conditions.
  • Microscopy and surface measurements: Particle or grain size, aspect ratio, pore size, film thickness, roughness, defect count, elemental fraction, or quantified image features compared by material or treatment.
  • Thermal characterization: Transition temperature, mass loss, residual mass, onset temperature, enthalpy, modulus, or damping metrics compared across samples.
  • Mechanical, electrical, and electrochemical properties: Strength, hardness, modulus, conductivity, capacitance, capacity, current density, efficiency, catalytic activity, or stability metrics across discrete groups.
  • Chemical, biological, process, and simulation results: Yield, conversion, concentration, assay response, counts, model outputs, and performance indicators compared across formulations, batches, algorithms, or operating conditions.

Representative questions for this exact graph

  • Mechanical, electrical, optical, or catalytic properties compared across named samples.
  • Phase-related or component values compared across discrete materials.
  • Yield, conversion, count, or response compared across treatment conditions.

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

  • Keep category labels unambiguous and choose their order deliberately.
  • Distinguish a missing measurement from a measured zero before using a stacked view.

Frequently asked questions about Bar Chart

Does bar order imply continuity between the categories?

Bar height communicates the listed value, but category order can change the visual story. Do not use a bar chart to imply continuity, kinetics, or interpolation between categories.

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 bar chart from other experimental, computational, simulation, and processed research data when the table follows these roles: X-axis (one categorical label column), Y-axis (one or more numeric value columns). 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 bar chart in a publication, thesis, report, poster, or presentation?

Yes, after scientific and visual review. InstaNANO can be used to prepare a bar chart 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, preserve meaningful category order, distinguish missing values from zeros, and ensure bar or stack comparisons answer the stated question. 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 Horizontal Bar Chart when labels are long, or Stacked Bar Chart when the composition of a total at each category is the question.

Plot your data or compare graph types

Edit the loaded Bar Chart 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.

Best on Laptop/Mac/PC. Get the link:
WhatsAppEmailCopy
InstaNANO AI Assistant
Online