Project 1 : Analysis of User Database in a Customer-to-Customer (C2C) E-Commerce Platform

Business model Customer to Customer (C2C) allows customers to do business with each other. This model is growing fast with e-commerce platforms where sellers may be required to pay some amount and buyer can buy it without paying anything. An E-Commerce website brings the seller and buyer to the same platform.

Analyzing the user's database will lead to understanding the business perspective. Behaviour of the users can be traced in terms of business with an exploration of the user’s database.

-- Q 1. Create new schema as ecommerce
CREATE SCHEMA ecommerce;

/* Q 2. Import .csv file users_data into MySQL
(right click on ecommerce schema -> Table Data import Wizard -> Give path of the file -> Next -> choose options : Create a new table , select delete if exist -> next -> next) */-- Done
use ecommerce;
select count(*) from users_data;

-- Q 3. Run SQL command to see the structure of table
SELECT
*
FROM
INFORMATION_SCHEMA.COLUMNS
WHERE
TABLE_NAME = 'users_data';

-- Q 4. Run SQL command to select first 100 rows of the database
USE ecommerce;
SELECT * FROM users_data LIMIT 100;

-- Q 5. How many distinct values exist in table for field country and language

SELECT COUNT(DISTINCT country) country, COUNT(DISTINCT language) language
FROM users_data;

-- Q 6. Check whether male users are having maximum followers or female users.
USE ecommerce;
SELECT SUM(socialNbFollowers),gender FROM users_data GROUP BY gender;

-- Q 7. Calculate the total users those
-- a. Uses Profile Picture in their Profile
SELECT COUNT(*) hasProfilePicture FROM users_data WHERE hasProfilePicture='True';

-- b. Uses Application for Ecommerce platform
SELECT COUNT(*) hasAnyApp FROM users_data WHERE hasAnyApp='True';

-- c. Uses Android app
SELECT COUNT(*) hasAndroidApp FROM users_data WHERE hasAndroidApp='True';

-- d. Uses ios app
SELECT COUNT(*) hasIosApp FROM users_data WHERE hasIosApp='True';

-- Q 8.Calculate the total number of buyers for each country and sort the result in descending order of total number of buyers.

SELECT country,SUM(productsBought) FROM users_data GROUP BY country ORDER BY SUM(productsBought) DESC;

-- Q 9.Calculate the average number of sellers for each country and sort the result in ascending order of total number of sellers

SELECT country,AVG(productsSold) FROM users_data GROUP BY country ORDER BY AVG(productsSold) ASC;

-- Q 10.Display name of top 10 countries having maximum products pass rate.
SELECT country,SUM(productsPassRate) FROM users_data GROUP BY country ORDER BY SUM(productsPassRate) DESC LIMIT 10;

-- Q 11.Calculate the number of users on an ecommerce platform for different language choices.

SELECT language, COUNT(*) FROM users_data GROUP BY language;

-- Q 12.Check the choice of female users about putting the product in a wishlist or to like socially on an ecommerce platform.

SELECT SUM(productsWished),SUM(socialProductsLiked) FROM users_data WHERE gender='F';

-- Q 13.Check the choice of male users about being seller or buyer.

SELECT SUM(productsSold),SUM(productsBought) FROM users_data WHERE gender='M';

-- Q 14.Which country is having maximum number of buyers?

SELECT country,SUM(productsBought) FROM users_data GROUP BY country ORDER BY SUM(productsBought) DESC;

-- Q 15.List the name of 10 countries having zero number of sellers.

SELECT productsSold,country FROM users_data WHERE productsSold=0 LIMIT 10;

-- Q 16.Display record of top 110 users who have used ecommerce platform recently.

SELECT daysSinceLastLogin FROM users_data ORDER BY daysSinceLastLogin ASC LIMIT 110;

-- OR

SELECT * FROM users_data ORDER BY daysSinceLastLogin LIMIT 110;

-- Q 17.Calculate the number of female users those who have not logged in since last 100 days.

SELECT gender,COUNT(daysSinceLastLogin) FROM users_data WHERE gender='F' AND daysSinceLastLogin >100;

-- Q 18.Display the number of female users of each country at ecommerce platform.

SELECT country, COUNT(*) FROM users_data WHERE gender='F' GROUP BY country;

-- Q 19.Display the number of male users of each country at ecommerce platform.

SELECT country, COUNT(*) FROM users_data WHERE gender='M' GROUP BY country;

-- Q20.Calculate the average number of products sold and bought on ecommerce platform by male users for each country.

SELECT AVG(productsSold),AVG(productsBought),country FROM users_data WHERE gender='M' GROUP BY country;