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In the example below the automatic X axis type would be linear (because there are not more than twice as many unique strings as unique numbers) but we force it to be category In 1 import plotlyexpress as px fig = px bar ( x = "a" , "a" , "b" , 3 , y = 1 , 2 , 3 , 4 ) fig update_xaxes ( type = 'category' ) fig show ()Nominal Data Examples Nominal data can be expressed in words or numbers however, they cannot be ordered and they do not have any numerical properties Given below are a few examples of nominal data Hair Colour Black, brown, blonde, red, silver Pin code 4001, ,Categorical data represent characterisitcs that one can observe and sort into groups If this data happens to be numerical, then the numbers would not have any mathematical meaning or proper order Examples of cateogrical data are class (freshman, sophomore, etc), color (blue, red, yellow, etc), and gender (male, female) To graph categorical data, one uses bar charts and Stats4stem C