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DPlot graphs and manipulates 2D and 3D data from a variety of sources in many different formats. While designed for scientists, engineers, and other technical fields, DPlot's straightforward interface will appeal to anybody interested in creating presentation-quality X-Y plots and/or Contour plots of 3D data.

Multiple scaling types, including linear, logarithmic, and probability scales on the X and/or Y axes. DPlot also provides several special purpose scale types, including grain size distribution plots, tripartite grids (shock Spectra), polar charts, TRIANGLE plots, N1.85 hydraulic scales, and Mercator projection.

Probability scale used with the cumulative distribution of a normally distributed variable. See the Probability Scale page for more information.

Grain size distribution plot, typically used in sieve analyses. For more information see the Grain Size Distributions page.

Tripartite plot, used for shock spectra plots and vibration analyses. See the Tripartite Plot page for more information and available options.

Probability

scale Grain size

distribution plot Tripartite

Grid

Polar plot. See the Polar Chart page for step-by-step instructions to create a polar plot.

Triangle plot, often used in geologic studies. See the Triangle Plot page for more information.

N1.85 Hydraulic Scale, normally used to evaluate fire suppression systems and in other hydraulic studies. See the N1.85 Hydraulic Scale page for more information.

Polar chart Triangle plot N1.85 Hydraulic scale

Mercator projection, the standard map projection for nautical purposes. See the Mercator Projection page for more information.

Mercator Projection

Bar Charts with a large number of presentation options.

Bar Chart: Side-by-side bars. For other bar chart options see the Bar Charts page.

Bar Chart: Stacked bars. For other bar chart options see the Bar Charts page.

Side-by-side bars Stacked bars

Multiple scaling types, including linear, logarithmic, and probability scales on the X and/or Y axes. DPlot also provides several special purpose scale types, including grain size distribution plots, tripartite grids (shock Spectra), polar charts, TRIANGLE plots, N1.85 hydraulic scales, and Mercator projection.

Probability scale used with the cumulative distribution of a normally distributed variable. See the Probability Scale page for more information.

Grain size distribution plot, typically used in sieve analyses. For more information see the Grain Size Distributions page.

Tripartite plot, used for shock spectra plots and vibration analyses. See the Tripartite Plot page for more information and available options.

Probability

scale Grain size

distribution plot Tripartite

Grid

Polar plot. See the Polar Chart page for step-by-step instructions to create a polar plot.

Triangle plot, often used in geologic studies. See the Triangle Plot page for more information.

N1.85 Hydraulic Scale, normally used to evaluate fire suppression systems and in other hydraulic studies. See the N1.85 Hydraulic Scale page for more information.

Polar chart Triangle plot N1.85 Hydraulic scale

Mercator projection, the standard map projection for nautical purposes. See the Mercator Projection page for more information.

Mercator Projection

Bar Charts with a large number of presentation options.

Bar Chart: Side-by-side bars. For other bar chart options see the Bar Charts page.

Bar Chart: Stacked bars. For other bar chart options see the Bar Charts page.

Side-by-side bars Stacked bars

Screenshots are not available currently.

Release notes are not available currently.

No additional system requirements.

- Version:2.2.9.4
- Updated:
- License:Shareware
- Language:English
- File Size:8.82MB
- Developer:
- Category:
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- DPlot Jr and automatically produce a plot.
- DPlot Viewer will display and print any graph produced by DPlot or DPlot Jr.

- Mathematical calculator for obtaining the LCM and GCD.
- It use for visualizing, managing, creating, and analyzing geographic data.
- Graph is an open source application used to draw mathematical graphs.
- Perform mathematics using symbolic computation and variable-precision arithmetic