Historical Knowledge And Quantitative Analysis Video
Quantitative Techniques in Historical ResearchHistorical Knowledge And Quantitative Analysis - apologise, but
Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a Time Series. From an academic point of view, this representation can be considered as a mapping between the original data usually numerical and graphic elements for example, lines or points in a chart. The mapping determines how the attributes of these elements vary according to the data. In this light, a bar chart is a mapping of the length of a bar to a magnitude of a variable. Since the graphic design of the mapping can adversely affect the readability of a chart, [1] mapping is a core competency of Data visualization. Data visualization has its roots in the field of Statistics and is therefore generally considered a branch of Descriptive Statistics. However, because both design skills and statistical and computing skills are required to visualize effectively, it is argued by some authors that it is both an Art and a Science. To communicate information clearly and efficiently, data visualization uses statistical graphics , plots , information graphics and other tools. Historical Knowledge And Quantitative AnalysisWant to keep learning?
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Qualitative or quantitative? Share this post. Want to keep learning? This content is taken from Griffith University online course. This content is taken from Griffith University online course. Other steps from this course.
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