Project 1

project1

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. 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 exploration of the user’s database.

Dataset: One .csv file with name users_data with 98913 rows and 27 columns

Tasks to be performed

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##1. Create new schema as ecommerce
CREATE SCHEMA ecommerce;
USE ecommerce;
## 2 Import .csv file users_data into MySQL
answer :----we import the file in navigator by using the option load spatial data of ecommerce options

## 3 . Run SQL command to see the structure of table
DESC users_data;
## 4 Run SQL command to select first 100 rows of the database

SELECT
*
FROM
users_data
LIMIT 100;

## 5 How many distinct values exist in table for field country and language

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

### 6 Check whether male users are having maximum followers or female users.

SELECT
gender, SUM(socialNbFollowers)
FROM
users_data
GROUP BY gender;

# 7. Calculate the total users those ,Uses Profile Picture in their Profile,Uses Application for Ecommerce platform
# Uses Android app ,Uses ios app
SELECT
'total_users_1', COUNT(hasProfilePicture)
FROM
users_data
WHERE
hasProfilePicture = 'TRUE'
UNION SELECT
'total_users_Application', COUNT(hasAnyApp)
FROM
users_data
WHERE
hasAnyApp = 'TRUE'
UNION SELECT
'total_users_Android', COUNT(hasAndroidApp)
FROM
users_data
WHERE
hasAndroidApp = 'TRUE'
UNION SELECT
'total_users_Ios', COUNT(hasIosApp)
FROM
users_data
WHERE
hasIosApp = 'TRUE';

## 8. Calculate the total number of buyers for each country and
#sort the result in descending order of total number of buyers
SELECT
COUNT(productsBought)
FROM
users_data
WHERE
productsBought > 0 group by country order by count(productsBought) ;


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

SELECT
COUNT(productsSold)
FROM
users_data
WHERE
productsSold > 0;

## 10 Display name of top 10 countries having maximum products pass rate.
SELECT DISTINCT
country, productsPassRate
FROM
users_data
ORDER BY productsPassRate DESC
LIMIT 10;

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

SELECT
COUNT(language)
FROM
users_data;

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

SELECT
' putting produts in wishlist',
COUNT(productsWished) choices
FROM
users_data
WHERE
productsWished > 0 AND gender = 'F'
UNION SELECT
'like socially', COUNT(socialProductsLiked) choices2
FROM
users_data
WHERE
socialProductsLiked > 0 AND gender = 'F';



## 13 Check the choice of male users about being seller or buyer.
# (Hint: use UNION to solve this question.)

SELECT
'selling', COUNT(productsSold) choices
FROM
users_data
WHERE
productsSold > 0 AND gender = 'M'
UNION SELECT
'buying', COUNT(productsBought) choices2
FROM
users_data
WHERE
productsBought > 0 AND gender = 'M';

## 14 Which country is having maximum number of buyers?

SELECT
country,count(productsBought)
FROM
users_data group by country order by count(productsBought) desc limit 1;

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

SELECT
country
FROM
users_data
WHERE
country=all(select productsSold=0) group by country
LIMIT 10;

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

SELECT
*
FROM
users_data
ORDER BY daysSinceLastLogin
LIMIT 110;

## 17 Calculate the number of female users those who have not logged in since last 100 days.
SELECT
COUNT(gender) female
FROM
users_data
WHERE
gender = 'F'
AND daysSinceLastLogin = 100;

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

SELECT
country, COUNT(gender) female_users
FROM
users_data
WHERE
gender = 'F' AND hasAnyApp = 'TRUE'
GROUP BY country;

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

SELECT
country, COUNT(gender) male_users
FROM
users_data
WHERE
gender = 'M' AND hasAnyApp = 'TRUE'
GROUP BY country;

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

SELECT
AVG(productsSold) Sold, AVG(productsBought) Bought
FROM
users_data
WHERE
gender = 'M' AND hasAnyApp = 'TRUE'
GROUP BY country;