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A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart. A bar graph shows comparisons among discrete categories.
Template. : Bar chart. { {Bar chart}} handles up to 4 columns and 30 rows of data. This template can be used to create a horizontal bar chart, scrolling down a page, in a format which can be parsed by text-based web browsers. The data items can be simple numbers, or the result of calculations based on template parameters. Each data number ...
This is an accepted version of this page This is the latest accepted revision, reviewed on 24 October 2024. Observation that in many real-life datasets, the leading digit is likely to be small Not to be confused with the unrelated adage Benford's law of controversy. The distribution of first digits, according to Benford's law. Each bar represents a digit, and the height of the bar is the ...
It can display charts in various formats. The whole image is scaled by a command, e.g. "ImageSize=width:180 height:90", and using the keyword "bar" triggers the bar chart features. However, the {} can easily format a horizontal bar chart (scrolling down a page), with one or two or four columns of bars in a chart.
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.
If you can't use SVG, you can create the plot in a bitmap format but make it very large, for instance 6000×4500 pixels. Increase the proportions as well, for example font size 48 and a line thickness of 17 pixels. Then use software like Photoshop or GIMP to Gaussian blur it at 2 pixels.
Histogram. A histogram is a visual representation of the distribution of quantitative data. To construct a histogram, the first step is to "bin" (or "bucket") the range of values— divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive ...