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A doughnut chart (also spelled donut) is a variant of the pie chart, with a blank center allowing for additional information about the data as a whole to be included. [15] [16] Doughnut charts are similar to pie charts in that their aim is to illustrate proportions.
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 ...
A pie chart or bar chart can show the comparison of ratios, such as the market share represented by competitors in a market. Deviation: Categorical subdivisions are compared against a reference, such as a comparison of actual vs. budget expenses for several departments of a business for a given time period.
The Google Chart API allows a variety of graphs to be created. Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python.
A chart (sometimes known as a graph) is a graphical representation for data visualization, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". [1] A chart can represent tabular numeric data, functions or some kinds of quality structure and provides different info.
Plus, pie can have a top crust, which cheesecake doesn’t. And some cheesecakes have a crust only on the bottom, but pie crusts go up the side as well. Cheesecake is also not baked in a pie pan ...
A pie consists of two main characteristics: a pie crust and a filling. Some pies have a single crust like pumpkin pie, others have a double crust like homemade apple pie, ...
Statistical graphics have been central to the development of science and date to the earliest attempts to analyse data. Many familiar forms, including bivariate plots, statistical maps, bar charts, and coordinate paper were used in the 18th century. Statistical graphics developed through attention to four problems: [3]