Dot plot (statistics): Difference between revisions

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{{Short description|Type of bar chart using dots}}
A '''dot chart''' or '''dot plot''' is a [[statistics|statistical]] chart consisting of data points plotted on a fairly simple scale, typically using filled in circles. There are two common, yet very different, versions of the dot chart. The first has been used in hand-drawn (pre-computer era) graphs to depict distributions going back to 1884.<ref>{{cite journal | last=Wilkinson | first=Leland | year=1999 |title=Dot plots | journal=The American Statistician | volume=53 | pages=276&ndash;281 | jstor=2686111 | doi=10.2307/2686111 | issue=3 | publisher=American Statistical Association}}</ref> The other version is described by [[William S. Cleveland|William Poppy]] as an alternative to the bar chart, in which dots are used to depict the quantitative values (e.g. counts) associated with categorical variables.<ref>{{cite book | last=Cleveland | first=William S. | author-link= William S. Cleveland | title=Visualizing Data | publisher=Hobart Press | year=1993 | hdl=2027/mdp.39015026891187 | isbn=0-9634884-0-6 | url-access=registration | url=https://archive.org/details/visualizingdata00will }}</ref>
 
==DotOf plotsa distribution==
[[File:Dotplot of random values 2.png|thumb|A dot plot of 50 random values from 0 to 9.]]
The dot plot as a representation of a distribution consists of group of data points plotted on a simple scale. Dot plots are used for [[continuous function|continuous]], [[quantitative data|quantitative]], [[univariate]] data. Data points may be labelled if there are few of them.
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In the ''[[R (programming language)|R]]'' programming language this type of plot is also referred to as a '''stripchart'''<ref>{{Cite book
| author = [[Peter Dalgaard]]
| author-link = Peter Dalgaard
| title = Introductory Statistics with R
| publisher = Springer
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}}</ref>
or '''stripplot'''.<ref>{{Cite book
| author = [[Paul Murrell]]
| author-link = Paul Murrell
| title = R Graphics
| publisher = Chapman & Hall/CRC
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==Cleveland dot plots==
[[File:Dotplot-example.svg|thumb|Example of a Cleveland dot plot, showing the death rates per 1000 in Virginia in 1940]]
Dot plot may also refer to plots of points that each belong to one of several categories. They are an alternative to bar charts or pie charts, and look somewhat like a horizontal bar chart where the bars are replaced by a dots at the values associated with each category. Compared to (vertical) bar charts and pie charts, Cleveland argues that dot plots allow more accurate interpretation of the graph by readers by making the labels easier to read, reducing non-data ink (or graph clutter) and supporting table look-up.
 
==Dot chart in process mapping==
The term ''dot chart'' is also used in the area of process mapping. This is a simplified flowchart process flow chart in which columns are tasks, rows are roles, and dots that are inserted at the intersection of tasks and roles represent a sequence of steps. In other words, it is an extensive RACI table with additional information about the sequence of steps in the process.
 
== See also ==
* [[Data and information visualization]]
* [[Scatter plot]]
 
==References==
{{reflistReflist}}
 
==Other references==
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{{commons category|Dot plots}}
* [http://www.b-eye-network.com/view/2468 Dot Plots: A Useful Alternative to Bar Charts]
 
 
[[Category:Statistical charts and diagrams]]