SALES_INSIGHTS_DATA_ANALYSIS

Sales Insights Data Analysis Project

Instructions to setup mysql on your local computer

JUST GO TO GOOGLE AND DOWNLOAD MYSQL COMMUNITY VERSION SERVER AND WORKBENCH!!!

1. SQL database dump is in db_dump.sql file above. Download db_dump.sql file to your local computer and import it as per instructions given in the tutorial video

Data Analysis Using SQL

1. Show all customer records

   SELECT * FROM customers;

2. Show total number of customers

   SELECT count(*) FROM customers;

3. Show transactions for Chennai market (market code for chennai is Mark001

   SELECT * FROM transactions where market_code='Mark001';

4. Show distrinct product codes that were sold in chennai

   SELECT distinct product_code FROM transactions where market_code='Mark001';

5. Show transactions where currency is US dollars

   SELECT * from transactions where currency="USD"

6. Show transactions in 2020 join by date table

   SELECT transactions.*, date.* FROM transactions INNER JOIN date ON transactions.order_date=date.date where date.year=2020;

7. Show total revenue in year 2020,

   SELECT SUM(transactions.sales_amount) FROM transactions INNER JOIN date ON transactions.order_date=date.date where date.year=2020 and transactions.currency="INR\r" or transactions.currency="USD\r";

8. Show total revenue in year 2020, January Month,

   SELECT SUM(transactions.sales_amount) FROM transactions INNER JOIN date ON transactions.order_date=date.date where date.year=2020 and and date.month_name="January" and (transactions.currency="INR\r" or transactions.currency="USD\r");

Data Analysis Using Power BI Formula to create norm_amount column = Table.AddColumn(#"Filtered Rows", "norm_amount", each if [currency] = "USD" or [currency] ="USD#(cr)" then [sales_amount]*75 else [sales_amount], type any)

`SELECT SUM(transactions.sales_amount) FROM transactions INNER JOIN date ON transactions.order_date=date.date where date.year=2020

and transactions.market_code="Mark001";`