Qso 560 Module 2-1data Visualizationsouthern New Hampshire U

QSO 560 module 2-1Data VisualizationSouthern New Hampshire University 03:00:48 GMT -05:00Visualize 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 dataset. It can aid in comparing distinct data groups and detect possible errors or anomalies. 03:00:48 GMT -05:00 03:00:48 GMT -05:00https://www.cliffsnotes.com/study-notes/18992666 03:00:48 GMT -05:00https://www.cliffsnotes.com/study-notes/18992666 03:00:48 GMT -05:00https://www.cliffsnotes.com/study-notes/18992666 03:00:48 GMT -05:00https://www.cliffsnotes.com/study-notes/18992666Rationale: 03:00:48 GMT -05:00I first answered the questions assessing the trends in the number of orders that are placed in a day and the times these orders were placed. A line graph was utilized for both to show how the orders numbers shift respectively daily throughout the year and over each hour of the day. A pie chart was