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In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be derived from it. Graphs may be misleading by being excessively complex or poorly constructed.
Manipulation of the graph's X-axis can also mislead; see the graph to the right. Both graphs are technically accurate depictions of the data they depict, and do use 0 as the base value of the Y-axis; but the rightmost graph only shows the "trough"; so it would be misleading to claim it depicts typical data over that time period.
Graphs that show a trend of data should illustrate the trend accurately in its context, rather than illustrating the trend in an exaggerated or sensationalized way. In short, don't draw misleading graphs. Choose a type of graph that is appropriate for the data you are illustrating. Cartesian coordinates
Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or ... Misleading graph; Progress bar; To include bar ...
In every case, except the Extracted graph, the misleading graph is to the left and the accurate, or original graph is to the right. Can I suggest that the "Extracted graph" is made to conform. Amandajm 06:00, 19 July 2012 (UTC) I agree, and I hope someone who knows how can alter the underlying image accordingly.—
Housing is too expensive, if there are options even available. Here's a breakdown of what's going on.
Examples of unnecessary elements that might be called chartjunk include heavy or dark grid lines, unnecessary text, inappropriately complex or gimmicky font faces, ornamented chart axes, and display frames, pictures, backgrounds or icons within data graphs, ornamental shading and unnecessary dimensions.