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- W4386773418 abstract "This chapter provides a background on the most common formats in which data can be presented visually, and how such data can be interpreted. It looks at methods of presenting both categorical and continuously variable data and reviews software packages that can produce excellent figures suitable for presentation and publication, limiting the requirement for hand-drawn artistic skills. It also explains how to interpret numerical data when they are presented graphically in the form of a normal and non-normal distribution, scatterplot, histogram, pie chart, dot plot and box plot and whisker plot, line plot, and graph. The chapter clarifies that continuously variable data with a normal distribution is represented by a bell-shaped curve, while data with a non-normal distribution is skewed to the left or to the right. It mentions data with a categorical distribution that is presented as a histogram." @default.
- W4386773418 created "2023-09-16" @default.
- W4386773418 creator A5076002640 @default.
- W4386773418 date "2018-11-02" @default.
- W4386773418 modified "2023-09-27" @default.
- W4386773418 title "Presenting data in graphical form" @default.
- W4386773418 doi "https://doi.org/10.1093/hesc/9780198812210.003.0004" @default.
- W4386773418 hasPublicationYear "2018" @default.
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