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Analysis women clothes e-commerce sales and statements using sql and power bi

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Abdelrhman-Sadek/Clothing-Reviews-Statements

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Description

Analyzing the company's sales and the customer's reviews about the products through:
First started by exploring and cleaning the data from Nulls using SQL by deleting the null columns in the Review Text and Division Name and then merging the statement title with Review Text into the Review column

ALTER TABLE [Womens Clothing]
DROP COLUMN [Clothing ID];

DELETE FROM [Womens Clothing]
WHERE [Review Text] IS NULL OR [Division Name] IS NULL;

ALTER TABLE [Womens Clothing]
ADD review VARCHAR(1000);

UPDATE [Womens Clothing]
SET review = CONCAT([Title], '-') + ' ' + [Review Text];

Select review 
from[Womens Clothing]

ALTER TABLE [Womens Clothing]
DROP COLUMN [Title]

ALTER TABLE [Womens Clothing]
DROP COLUMN [Review Text]

ALTER TABLE [Womens Clothing]
DROP COLUMN [F1]

SELECT * 
FROM [Womens Clothing]

then upload the data to Power bi and using Dax and Power query:

  • Calculated the most frequent Rate and Age and their frequency
  • split the reviews column into positive reviews and negative reviews based on Recommendations
    Recommended --> Positive / Not Recommended --> Negative

Then made the dashboard to gain insights into sales, reviews, categories, etc

Dashboard

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Analysis women clothes e-commerce sales and statements using sql and power bi

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