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On 18 Jan 2009 the table of data was removed (with no comment explaining why). But the text of the article still refers to the table, which reference is confusing to the reader. Although the table of data does take up some space, I think it is helpful in explaining the chart. After all, the whole purpose of a bar chart is to visualize data.
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
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]
A table is nearly always better than a dumb pie chart; the only thing worse than a pie chart is several of them, for then the viewer is asked to compare quantities located in spatial disarray both within and between pies – Given their low data-density and failure to order numbers along a visual dimension, pie charts should never be used.
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.
William Playfair (22 September 1759 – 11 February 1823) was a Scottish engineer and political economist.The founder of graphical methods of statistics, [1] Playfair invented several types of diagrams: in 1786 he introduced the line, area and bar chart of economic data, and in 1801 he published what were likely the first pie chart and circle graph, used to show part-whole relations. [2]
They can also provide insight into a data set to help with testing assumptions, model selection and regression model validation, estimator selection, relationship identification, factor effect determination, and outlier detection. In addition, the choice of appropriate statistical graphics can provide a convincing means of communicating the ...
reveal the data at several levels of detail, from a broad overview to the fine structure; serve a reasonably clear purpose: description, exploration, tabulation, or decoration; be closely integrated with the statistical and verbal descriptions of a data set. Graphics reveal data. Indeed graphics can be more precise and revealing than ...