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A boxplot, also known as a box plot, box plots or box-and-whisker plot, is a standardized way of displaying the distribution of a data set based on its five-number summary of data points: the “minimum,” first quartile [Q1], median, third quartile [Q3] and “maximum.”. Here’s an example. Boxplots can tell you about your outliers and Replace 0s with NA () Select the data set. Click Find & Select in the Editing group on the Home tab and choose Replace, or type Ctrl + H. Enter 0 in Find what. Enter =NA () in Replace. Click Options to display additional settings and check Match entire cell contents. Click Replace All. Click Close and OK. For more information see the article
The first, I’d refer to as a traditional dot plot (labeled simply “dot plot” above). This graph has been used going pretty far back in time. They were originally hand drawn and are used to show the distribution of data. This can be useful if you want to see the your data to get a sense of the shape or identify outliers.
Create the smooth scatter chart and right click the curve and click " Add data labels ". Right-click one of the data labels next to the curve and click " Format data labels ". Untick x-value, untick y-value and tick " Value from cells " and select the relevant range (Second column in my case, but can be anywhere).
Usually, missing data are represented as NA or NaN or even an empty cell. Dataset in use: In the case of larger datasets, few missing data might not affect the overall information whereas it can be a huge loss in information in the case of smaller datasets.
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na plot vs non na plot