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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 and has been identified as the prototype of charts. [1]
Download as PDF; Printable version; In other projects ... This is a list of statistical procedures which can be used for the analysis of categorical data, also known ...
Download QR code; Print/export ... Analysis of categorical data; ... Compositional data; Composite bar chart; Compound Poisson distribution;
A bar chart may be used to show the comparison across the sales persons. Part-to-whole: Categorical subdivisions are measured as a ratio to the whole (i.e., a percentage out of 100%). A pie chart or bar chart can show the comparison of ratios, such as the market share represented by competitors in a market.
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. GeoGebra is open-source graphing calculator and is freely available for non-commercial users.
A bar chart is a graph that shows categorical data as bars presenting heights (vertical bar) or widths (horizontal bar) proportional to represent values. Bar charts provide an image that could also be represented in a tabular format. [10] In the bar chart example, we have the birth rate in Brazil for the December months from 2010 to 2016. [9]
[[Category:Bar chart templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Bar chart templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
Correspondence analysis (CA) is a multivariate statistical technique proposed [1] by Herman Otto Hartley (Hirschfeld) [2] and later developed by Jean-Paul Benzécri. [3] It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.