Question: REFER THIS LINK FOR EXCEL FILE: docs.google.com/spreadsheets/d/1TR-sIvCMnY68TRAPB9wfdLS3OsC35Cvx7EooOT2XjFI/edit?usp=sharing NOTE : INSERT TABLEAU VISUALISATIONS: QUESTIONS: Question 1: Report by location In this question, you are required to

REFER THIS LINK FOR EXCEL FILE: docs.google.com/spreadsheets/d/1TR-sIvCMnY68TRAPB9wfdLS3OsC35Cvx7EooOT2XjFI/edit?usp=sharing

NOTE: INSERT TABLEAU VISUALISATIONS: 

QUESTIONS:

Question 1: Report by location

In this question, you are required to visualise location dimensions using some of the variables found in the dataset. Examples of location dimensions include city, state, and country. Investigate these dimensions in relation to the measures of sales, profits, discounts, quantity, or a combination thereof (the choice is yours). Take note of the following requirements when preparing your submission:

***Include one or more exported dashboards consisting of at least three visualisations, communicating key insights gained from the Superstore's performance in relation to location.

***Summarise your visualisations by reporting on what they represent:

Q1)Summarise key findings by highlighting any descriptive statistics.

Q2) Discuss numeric findings of performed analyses.

Q3) Comment on the commercial value of your findings.

Question 2: Report by division

In this question, you are required to visualise division dimensions using some of the measures found in the dataset. Examples of division dimensions include category, subcategory, and segment. Investigate these dimensions in relation to the measures of sales, profits, discounts, quantity, or a combination thereof (the choice is yours). Take note of the following requirements when preparing your submission:

***Include one or more exported dashboards consisting of at least three visualisations, communicating key insights gained from the Superstore's performance in relation to division.

*** Summarise your visualisations by reporting on what they represent:

Q1) Summarise key findings by highlighting any descriptive statistics.

Q2)Discuss numeric findings of performed analyses.

Q3) Comment on the commercial value of your findings.

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