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Supported Chart Types Supported Bar Chart Types Other Features Interactivity Rendering Technologies Databinding HTML 5 Canvas Line Timeline Scatter Area Pie Donut Bullet Radar Funnel Gantt Network Grouped Mind Mapping Stacked Negative Discrete Horizontal 3D Legends Animation Mouse Over onClick HTML5 Canvas SVG VML AxisXY WebGL rendering; AG ...
Plotly was founded by Alex Johnson, Jack Parmer, Chris Parmer, and Matthew Sundquist. [2]The founders' backgrounds are in science, energy, and data analysis and visualization. [2]
plots and charts from data Plotly: GUI, command line Python: Commercial: No 2012: Any (web-based) plots and charts in browser, web-sharing and exporting, drag-and-drop data import, Python command line plotutils: command line, C/ C++: GPL: Yes 1989: September 27, 2009 / 2.6: Linux, Mac, Windows: Collection of command line programs, C/C++ API PLplot
Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available. A simple SVG line plot with Matplotlib. Here is a minimal line plot (output image is shown on the right):
For example, dot plots and bar charts outperform pie charts. [ 30 ] In his 1983 book The Visual Display of Quantitative Information , [ 31 ] Edward Tufte defines 'graphical displays' and principles for effective graphical display in the following passage: "Excellence in statistical graphics consists of complex ideas communicated with clarity ...
Pie chart of populations of English native speakers. A pie chart (or a circle chart) is a circular statistical graphic which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice (and consequently its central angle and area) is proportional to the quantity it represents.
William Playfair is usually credited with inventing the area charts as well as the line, bar, and pie charts.His book The Commercial and Political Atlas, published in 1786, contained a number of time-series graphs, including Interest of the National Debt from the Revolution and Chart of all the Imports and Exports to and from England from the Year 1700 to 1782 that are often described as the ...
A ridgeline plot (also known as a joyplot [1] [note 1]) is a series of line plots that are combined by vertical stacking to allow the easy visualization of changes through space or time. The plots are often overlapped slightly to allow the changes to be more clearly contrasted. [2] [3] [4] [5]