• Import the necessary libraries, import ‘Data’ worksheet from the Excel-file and assign it to a DataFrame variable, • Convert the data type of ‘customer_number’ and ‘date_of_sale’ to string (object). • Check whether there are mistyped values and so on..
For a JSON and Google COLAB file with : • A crosstabulation table showing the number of transactions and test whether the relationship between these two variables is significant using the chi-square test of independence.
• Calculate the average quantity sold per brand, and test whether the difference in average quantity sold between the two brands is significant using (a) the t-test for two independent samples and (b) the Mann-Whitney test.
• Provide a table showing the average sales revenue, variable cost and contribution margin per region per brand.
• Provide a bar chart showing the average sales revenue, variable cost and contribution margin per region per brand.For more information on DataFrame variable check on this:https://en.wikipedia.org/wiki/Pandas_(software)
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