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Summary QSO 560 module 2-1 Data Visualization Southern New Hampshire University 03:00:48 GMT
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QSO 560 module 2-1 Data Visualization Southern New Hampshire University 03:00:48 GMT -05:00 Visualize and Identify Outliers: Outliers and percentiles are two theories that can assist us with better understanding and visualizing data. Outliers are data locations substantially unlike the rest o...

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  • October 19, 2024
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QSO 560 module 2-1

Data Visualization

Southern New Hampshire University




03:00:48 GMT -05:00

, Visualize and Identify Outliers:

Outliers and percentiles are two theories that can assist us with better

understanding and visualizing data. Outliers are data locations substantially

unlike the rest of the dispersal, either extremely higher or lower. Percentiles

are values that split the data into identical slices, like the 25th, 50th, and 75th

percentiles.

Finding and realizing outliers and percentiles can assist us to obtain

understandings into the data, such as the flexibility, the shape, the

skewness, and the outliers. For instance, box and whisker plots can be

used to display the median and the quartiles to discover the outliers of the

data

set. It can aid in comparing distinct data groups and detect possible errors or

anomalies.

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