Data Analysis Using SQL Show all customer records
SELECT * FROM customers;
Show total number of customers
SELECT count(*) FROM customers;
Show transactions for Chennai market (market code for chennai is Mark001
SELECT * FROM transactions where market_code='Mark001';
Show distrinct product codes that were sold in chennai
SELECT distinct product_code FROM transactions where market_code='Mark001';
Show transactions where currency is US dollars
SELECT * from transactions where currency="USD"
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;
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";
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");
Show total revenue in year 2020 in Chennai
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";
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)