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2. Plotly - Wikipedia

   en.wikipedia.org/wiki/Plotly

   Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python , R , MATLAB , Perl , Julia , Arduino , JavaScript [ 1 ...

3. Scatter plot - Wikipedia

   en.wikipedia.org/wiki/Scatter_plot

   A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.

4. LabPlot - Wikipedia

   en.wikipedia.org/wiki/LabPlot

   LabPlot is a free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis. LabPlot is available, under the GPL-2.0-or-later license, for Windows , macOS , Linux , FreeBSD and Haiku operating systems.

5. List of information graphics software - Wikipedia

   en.wikipedia.org/wiki/List_of_information...

   The charting tool of Calligra Suite, an integrated graphic art and office suite developed by KDE. Kig: GUI: GPL: Yes 2006: Geometry diagrams only LabPlot: GUI, Qt, C, C++: GPL-2.0-or-later: Yes 2001: July 16, 2024 / 2.11.1 Microsoft Windows, OS X, Linux, FreeBSD, Haiku: 2D plotting, suitable for creation of publication-ready plots LabVIEW ...

6. Wikipedia:Graphs and charts - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

   Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python. GeoGebra is open-source graphing calculator and is freely available for non-commercial users. WebPlotDigitizer, PlotDigitizer's online free app or SplineCloud's plot digitizer can be used to extract data from charts.

7. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   There are a number of tools that are useful for EDA, but EDA is characterized more by the attitude taken than by particular techniques. [9] Typical graphical techniques used in EDA are: Box plot; Histogram; Multi-vari chart; Run chart; Pareto chart; Scatter plot (2D/3D) Stem-and-leaf plot; Parallel coordinates; Odds ratio; Targeted projection ...