sql-analysis

There are 42 repositories under sql-analysis topic.

  • SharifAthar/Netflix-Shows-and-Movies-SQL

    Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.

  • sharanya-27/Pizza_Sales_Analysis_SQL

    Utilizing a combination of Excel, SQL, and Power BI, I delved into an extensive dataset comprising over 50,000 entries of pizza sales data from our business. Through meticulous data simplification and analysis, I uncovered compelling insights and illuminating trends about sales performance and customer preferences within the pizza market.

  • natalyamn/CRM_Sales_Opportunities_project

    Analysis of sales pipeline data from a fictitious company that sells computer hardware

    Language:Jupyter Notebook9102
  • apoorvsat/Data-Camp-SQL-Projects-Solutions

    Solutions to SQL Projects available on DataCamp.

  • drahulsingh/Fifa-Dataset-SQL-Data-Analysis

    The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.

  • johorodnyk/food-dataset

    Food sales data model

  • abhishekalandikar/NETFLIX-DATA-ANALYSIS

    Using SQL, and Tableau, I dove into Netflix's massive dataset of 82,000 rows containing shows and movies. I simplified and analyzed the data, revealing cool insights and interesting facts about what's available on the platform. These tools helped me find patterns, uncover trends, and share a clear picture of Netflix's diverse content world

  • avrtt/postgres-diagrams

    Creating data flow diagrams for PostgreSQL

    Language:Python310
  • Club-Innovate/GenAI-SQL-CLI

    GenAI-SQL is a modular, extensible suite of AI-powered tools for automating SQL code improvement, documentation, and validation. Built for developers, analysts, and data engineers, it leverages Azure OpenAI (GPT-4o) to analyze, refactor, comment, explain, test, and audit SQL — all within a secure, asynchronous, and HIPAA-compliant framework.

    Language:Python20
  • DataVisualizationExpert/Sales-Analysis-using-SQL-Power-BI

    This repository contains the code and data for analyzing pizza sales using SQL Server as the data store and Power BI for data visualization and analysis. Explore sales trends, customer preferences, and more to gain insights into pizza sales using this repository.

  • ghuysmans/sqldep

    SQL Dependency Extraction Tool

    Language:OCaml22172
  • omkar2503/sql-sherlock

    PostgreSQL-powered SQL quality analyzer that detects anti‑patterns, suggests safe rewrites, and scores queries.

    Language:JavaScript2
  • Ansalmathewphilip/Pizza-SalesAnalysis-SQL

    Analysing pizza sales using sql and getting insights from the data

  • deeksha-dhawan/Pizza-Outlet-Analysis-using-SQL

    This project analyzes pizza sales data to gain insights into customer behavior and revenue patterns. Key analyses include customer insights, popular pizza types and sizes, revenue generation, and order trends. The findings help optimize menu offerings, staffing, and marketing strategies to boost overall business performance.

  • iimos/clickhouse_query_analyser

    Go lib for analysis of ClickHouse columns usage in SQL

    Language:Go0100
  • sharanya-27/HR-Analytics

    This project utilized Tableau, Power BI, and SQL to provide comprehensive insights into essential HR metrics and trends. Through visualizations and data analysis techniques, the dashboard empowered HR professionals to discern patterns and make informed, data-driven decisions. Thorough QA/testing ensured the accuracy and reliability of the reports.

  • shwetaagrey/Banking-Data-Warehouse

    Transforming banking operations with MySQL Bank Management System: robust schema, advanced queries, views, and security measures ensure efficiency and data integrity. Ready to revolutionize the industry.

  • Yagnesh-R/NETLIX-SQL-ANALYSIS

    Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.

  • abhishek010314/Pizza-Sales-project

    This SQL project analyzes pizza sales data by creating a database, setting up tables, and running queries to extract insights. It covers total orders, revenue, popular pizza types, sales by hour, and more. The goal is to help optimize business operations and menu strategies based on sales trends

  • Apeksha290529/Maven-Movies

    An in-depth SQL-based analysis of the MAVENMOVIES database to derive insights for business growth. This project focuses on customer behavior, rental trends, inventory optimization, and revenue enhancement. The analysis aims to support data-driven decision-making for marketing, pricing, and operational efficiency."

  • Apeksha290529/The-BigBank-Finance-Analyser

    "A comprehensive SQL-based analysis of a banking database for 'The Big Bank'. This project explores customer banking behavior, transaction trends, and account management. The analysis aims to optimize banking operations, enhance fraud detection, improve customer segmentation, and increase revenue using data-driven insights."

  • BabaKaElijah/retail_sales_analysis_project

    This project showcases the use of SQL to analyze retail sales data for insights on customer behavior, product performance, and sales trends. It involves table creation, data cleaning, exploration, and answering real-world business questions using SQL.

  • FilipCieciuch/SQL_Project

    This project leverages SQL to analyze job market trends, focusing on identifying top-paying roles, highly demanded skills, and optimal skill sets for career growth

  • iamnaveen1401/E-Commerce-Customer-Churn-Analysis-Using-MySql

    E-Commerce Customer Churn Analysis using MySQL - This project focuses on analyzing customer churn behavior in an e-commerce business using SQL. The project involves end-to-end database creation, data cleaning, transformation, and in-depth analysis to uncover key factors influencing customer retention and churn rates.

  • jamaldasd/sql_driven_adhoc_business_insights

    📊 Analyze ad-hoc requests using SQL to deliver actionable business insights for AtliQ Hardware, enhancing decision-making in the FMCG sector.

  • jotstolu/Bicycle-Store-Revenue-and-Customer-Insights-SQL-Project-

    This repository showcases a comprehensive SQL-based analysis of retail bike sales data. It covers schema creation, data loading, and a series of analytical queries to derive actionable insights from transactional records.

  • MahboobXworld/Ai_agent_for_sql_analysis

    Conversational AI Agent for Analyzing SQL Databases

    Language:JavaScript
  • noumanjamadar/sql_driven_adhoc_business_insights

    10 ad-hoc business requests solved using SQL queries for Consumer Goods (FMCG) domain. Includes query optimization, schema documentation, and actionable business insights

  • risaza12/Pizza-Sales-SQL-Analysis

    🍕 Analyze pizza sales data with SQL to uncover insights, enhance business strategies, and improve customer understanding through comprehensive reporting.

  • saisrivatsat/Walmart-Sales-Analysis-Project-PostgreSQL

    This project leveraged PostgreSQL to analyze Walmart sales data, uncovering key insights into branch performance, product trends, and customer behavior. Data was imported, analyzed through structured queries, and results were exported to support actionable business strategies.

  • theakashkumar22/Data-Analytics-Portfolio

    🚀 A curated portfolio of data analytics projects exploring real-world retail scenarios using the Superstore dataset. From data wrangling and statistical analysis to BI insights and visual storytelling, each project showcases my growing expertise as a data analyst.

    Language:Jupyter Notebook
  • YadvendraDhakad/MarketMetrics-Analyzing-Grocery-FMCG-Pricing-Trends

    This project analyzes pricing patterns and trends in the grocery and FMCG sectors using SQL and Python. It provides insights through data visualization and interactive dashboards to track market dynamics.

    Language:Jupyter Notebook