/DATA_ANALYSYS-sales_insight-

Modeling, cleaning, initializing and analyzing data to extract insights about company sales and growth, influential and declining markets using Workbench, Power Pi,ETL

DATA_ANALYSYS-sales_insight-

Modeling, cleaning, initializing and analyzing data to extract insights about company sales and growth , influential and declining markets using Workbench, Power Pi,ETL

AS

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");

  9. 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 soruce : ATLIQ HARD WARE c.

Here report example

[embed] https://app.powerbi.com/groups/me/reports/2227add3-fda5-495d-baa8-d7e00fc5a44d?ctid=bc614756-3d44-40dc-a3b9-ac7117ae1e50&pbi_source=linkShare [/embed]