Project 1
3.USE ecommerce;
DESC ecommerce;
4.USE ecommerce;
SELECT * FROM ecommerce LIMIT 100;
5.USE ecommerce;
SELECT DISTINCT country,language FROM ecommerce;
6.USE ecommerce;
SELECT COUNT(socialNbFollowers) FROM ecommerce WHERE gender = 'F';
SELECT COUNT(socialNbFollowers) FROM ecommerce WHERE gender = 'M';
7.(a)USE ecommerce;
SELECT COUNT(*) FROM ecommerce WHERE hasProfilePicture LIKE 'TRUE';
(b)USE ecommerce;
SELECT COUNT(*) FROM ecommerce WHERE hasAnyApp LIKE 'TRUE';
(c)USE ecommerce;
SELECT COUNT(*) FROM ecommerce WHERE hasAndroidApp LIKE 'TRUE';
(d)USE ecommerce;
SELECT COUNT(*) FROM ecommerce WHERE hasIosApp LIKE 'TRUE';
8.USE ecommerce;
SELECT productsBought,country FROM ecommerce ORDER BY productsBought DESC;
9.USE ecommerce;
SELECT productsSold,country FROM ecommerce ORDER BY productsSold ASC;
10.USE ecommerce;
SELECT country,productsPassRate FROM ecommerce ORDER BY productsPassRate DESC LIMIT 10;
11.USE ecommerce;
SELECT COUNT(type) users,language FROM ecommerce GROUP BY language;
12.USE ecommerce;
SELECT productsWished,socialProductsLiked FROM ecommerce WHERE gender = 'F';
13.USE ecommerce;
SELECT productsSold,productsBought FROM ecommerce WHERE gender = 'M';
14.USE ecommerce;
SELECT country,MAX(productsBought) MaximumBuyers FROM ecommerce;
15.USE ecommerce;
SELECT country,productsSold FROM ecommerce WHERE productsSold = '0' LIMIT 10;
16.USE ecommerce;
SELECT identifierHash,daysSinceLastLogin FROM ecommerce ORDER BY daysSinceLastLogin DESC LIMIT 110;
17.USE ecommerce;
SELECT identifierHash,gender FROM ecommerce WHERE gender ='F' ORDER BY daysSinceLastLogin ASC LIMIT 100;
18.USE ecommerce;
SELECT DISTINCT(country),COUNT(type)users,gender FROM ecommerce WHERE gender = 'F' GROUP BY country;
19.USE ecommerce;
SELECT DISTINCT(country),COUNT(type)users,gender FROM ecommerce WHERE gender = 'M' GROUP BY country;
20.USE ecommerce;
SELECT
DISTINCT(country),type,gender,AVG(productsSold)Averageproductssold,AVG(productsBought)Averageproductsbought FROM ecommerce WHERE gender = 'M' GROUP BY country;