Saturday, July 19, 2025

Complete SQL Tutorial / PostgreSQL Notes

🎀Introduction To SQL

1️⃣. What is SQL

2️⃣. Basic SQL Commands ?

3️⃣. SQL v/s NoSQL

4️⃣. Types of SQL Commands

5️⃣. What is Database

1️⃣. What is SQL

SQL (Structured Query Language) is a standardized programming language used to manage and manipulate relational databases.
It allows you to interact with a database.


What You Can Do with SQL ?

💎Create databases and tables
💎Insert data into tables
💎Read/retrieve data (using SELECT)
💎Update existing data
💎Delete records
💎Control access to data (permissions)
💎Set constraints to maintain data accuracy

2️⃣. Basic SQL Commands

🗃 Command | 📇 Purpose
💎SELECT : Retrieve data
💎INSERT : Add new data
💎UPDATE : Modify data
💎DELETE : Remove data
💎CREATE : Create table or database
💎DROP : Delete table or database

3️⃣. SQL v/s NoSQL

⚔️ SQL vs NoSQL

Feature | 🗃️ SQL (Relational) | 📦 NoSQL (Non-relational)

(1.) Data Structure | Tables (rows and columns) | Varies: Documents, Key-Value, Graph, Column
(2.) Schema (Structure) | Fixed schema (predefined) | Flexible schema (dynamic fields)
(3.) Scalability | Vertical (scale up – bigger server) | Horizontal (scale out – more servers)
(4.) Query Language | SQL (Structured Query Language) | Various (e.g., JSON queries, key lookups)
(5.) performance | Low performance with huge volumes of data | Easily work with huge volumes of data
Examples | MySQL, PostgreSQL, Oracle, SQL Server | MongoDB, Cassandra, Firebase, Redis.

🧠 When to Use SQL ?

✅ Choose SQL when:
⚉ Your data is structured (like Excel tables).
⚉ You need complex queries (e.g., joins, filters).
⚉ You require strong consistency and data integrity.
☞ Example: Banking systems, HR systems, ERPs.

🚀 When to Use NoSQL ?

✅ Choose NoSQL when:

⚉ Your data is unstructured or semi-structured (JSON, logs, media)
⚉ You need to scale quickly and handle big data or traffic.
⚉ You want flexibility — schema changes frequently.
☞ Example: Social media apps, real-time analytics, IoT, chat apps.

🔧 Real-World Analogy

SQL = Rigid office form: same structure every time.

NoSQL = Free-form diary: different fields on each page.

4️⃣. Types of SQL Commands

✅ They are main types of SQL commands

🎴 1. DDL (Data Definition Language)

Used to define and change the structure of tables and databases (Create, Alter, Drop & Truncate)

🎴 2. DML (Data Manipulation Language)

Used to manage data inside the tables (Insert, Update and Delete)

🎴 3. DCL (Data Control Language)

Used to control access to data or permissions to users (Grant and Revoke)

🎴 4. DQL (Data Query Language)

Used to fetch data from a database ( SELECT )

5️⃣. What is Database

database is an organized collection of data that is stored and accessed electronically.
It allows you to store, manage, retrieve, and manipulate data easily and efficiently.
OR
database is like a smart digital notebook where data is stored in an organized way and can be easily managed using SQL or other tools.

✅ Key Features of a Database :

📁 Organized: Data is stored in structured formats (like tables)
🔎 Searchable: You can quickly retrieve information.
🛡️ Secure: Access can be restricted to certain users.
♻️ Modifiable: You can update, delete, or insert data.
🔗 Relational: Data in one table can be linked to data in another (in relational databases).

✅ Popular SQL Database Systems

Database Name | Description
MySQL : Open-source, widely used
PostgreSQL : Advanced features, open-source
SQLite : Lightweight, file-based
Oracle : Enterprise-grade
SQL Server : Developed by Microsoft

Complete SQL Tutorial / PostgreSQL Notes

 

🎀Welcome, To PostgreSQL Course

📑Complete PostgreSQL With Notes Basic (Step-By-Step) Advance By StudySphere

1️⃣.Introduction to SQL-What Is SQL & Database

2️⃣. Data Types, Primary-Foreign Keys & Constraints

🅰️. Install postgresql and pgadmin4

3️⃣. Create Table In SQL & Create Database

4️⃣. INSERT UPDATE, DELETE & ALTER Table

5️⃣. SELECT Statement & WHERE Clause with Example

6️⃣. How To Import Excel File (CSV) to SQL

7️⃣. Functions in SQL & String Function

8️⃣. Aggregate Functions – Types & Syntax

9️⃣. Group By and Having Clause

🔟. Time Stamp and Extract Function, Date Time Function

1️⃣1️⃣. SQL JOINS – Types & Syntax

1️⃣2️⃣. SELF JOIN, UNION & UNION ALL

1️⃣3️⃣. Subquery

1️⃣4️⃣. Window Function – Types & Syntax

1️⃣5️⃣. Case Statement/Expression with examples

1️⃣6️⃣. CTE- Common Table Expression with examples

Monday, July 14, 2025

Khayalon Ki Dunia_ 7/365

If You 'OVERLOVE' Someone, 

You got 'OVERHURT' in return.

Khayalon Ki Dunia_ 6/365

Judge me Only When your Opinions Can pay my Bills,

If they don't, Mind your Own Business.


मुझे तभी आंकना जब तुम्हारी राय मेरे बिलों का भुगतान कर सके। अगर ऐसा नहीं है, तो अपने काम से काम रखो

Friday, June 27, 2025

🏪Captain Store Reports Excel Dashboard Project


 

🏪Captain Store Reports Excel Dashboard Project

📋 Insert Pivot Tables

Use Pivot Tables to aggregate and analyze data.

🎴Pivot Table 1: Sales by Month

Insert > Pivot Table > From Table/Range
Place on new sheet, name it Sales Month
Rows: Month
Values: Amount (Sum)
Sort by values: descending

🎴Pivot Table 2 : Orders by Category

New Pivot Table
Rows: Category
Values: Quantity, Amount

🎴Pivot Table 3 : Sales by Channel

Rows: Channel
Values: Amount

🎴Pivot Table 4 : Sales by Country

Rows: ship-country
Values: Amount

🎴Pivot Table 5 : Top 10 Customers

Rows: Customer_Name
Values: Amount
Sort Descending by Amount
Filter Top 10

🎴Pivot Table 6 : Sales by Gender

Rows: Gender
Values: Count of Order Id

🎴Pivot Table 7 : Sales by Age Group

Rows: Age Group
Values: Count of Order Id

📈Insert Pivot Charts

🔛Convert Our Pivot tables into visuals for the dashboard.

🗺 Recommended Charts:

📉Line Chart: Sales by Month
🔴Pie Chart: Sales by Channel
📊Bar Chart: Sales by Country
🟢Donut Chart: Orders by Age Group
🔴Pie Chart: Sales by Gender
📊Bar Chart: Sales Status
🔴Pie Chart: Order by Quantity & Category

📘Captain Store Reports Excel Dashboard

🔰Excel Dashboard

Image

Captain store dashboard.pdf

🔰Sample Insight From Excel Dashboard

1️⃣ Men are more likely to buy compared to women(~ 54%)
2️⃣ Martinique, Jamaica, Monaco, Bhutan and Sri Lanka are the Top 5 Country
3️⃣ Adult age group(30 ~ 50 Yrs) is max contributing (~ 36%)
4️⃣ Online mode of channel are max contribution.
5️⃣ Snacks and Grocery Category have max sales contribution (~ 21%)

🛤 Final Conclusion to improve Captain Store Sales:

Target Men customers of Age group(30 ~ 50 Yrs) living in Martinique, Jamaica, Monaco, Bhutan and Sri lanka by showing ads/offers/coupons available Online Mode with Snacks and Grocery Item Category.

Retail Analytics Dashboard on Zepto Dataset using PostgreSQL, Excel, and Power BI

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