Within data science, scatter plots are a common data visualisation method. They enable us to plot two numerical variables on a two-dimensional graph as points. We can tell if there is a relationship between the two variables based on these plots, and how strong that relationship is.
Within data science, scatter plots are a common data visualisation method. They enable us to plot two numerical variables on a two-dimensional graph as points. We can tell if there is a relationship between the two variables based on these plots, and how strong that relationship is.
A histogram is a visual depiction of a dataset's distribution, including its position, spread, and skewness; it also aids in determining if the distribution is symmetric or skewed left or right. Furthermore, if it is unimodal, bimodal, or multimodal. It can also highlight any anomalies or data gaps.
The main distinction between a histogram and a stem-and-leaf plot is that the latter displays individual data points, whilst the former does not. Histograms are a time-honored way for tabulation, while stem-and-leaf plots are a more recent addition.
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