BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -A box plot visualization allows you to examine the distribution of data. One box plot appears for each attribute element. Each box plot displays the minimum, first quartile, median, third quartile, and maximum values. In addition, you can choose to display the mean and standard deviation as dashed lines.

Detailed explanation-2: -A: The visualization techniques include Pie and Donut Charts, Histogram Plot, Scatter Plot, Kernel Density Estimation for Non-Parametric Data, Box and Whisker Plot for Large Data, Word Clouds and Network Diagrams for Unstructured Data, and Correlation Matrices.

Detailed explanation-3: -Two of the most commonly used variation of Box Plot are: variable-width Box Plots and notched Box Plots.

Detailed explanation-4: -When you should use a box plot. Box plots are used to show distributions of numeric data values, especially when you want to compare them between multiple groups. They are built to provide high-level information at a glance, offering general information about a group of data’s symmetry, skew, variance, and outliers.

Detailed explanation-5: -A Box Plot is one of the best-suited charts to use if your goal is to display high-level attributes of your data, such as quartile, mean, median, skewness, and standard deviation.