istanbul yaşam analizi
-
Updated
Aug 13, 2026 - Python
istanbul yaşam analizi
SQL problem-solving practice and interview solutions from LeetCode.
This repository contains a collection of SQL scripts I developed to demonstrate a range of analytical techniques, including exploratoray-data analysis, time-series analysis, cumulative analysis, performance analysis, data segmentation, and part-to-whole analysis.
Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. Understand when and how to use subqueries, several window functions, and partitions to complete complex tasks. Clean data, optimize SQL queries and write select advanced JOINs to enhance analysis performance.
The ultimate 500+ data science tricks platform by Aman Vishwakarma (BeginnerAman). Features flashcards, 10-stage Data Analyst framework & 8-stage ML pipeline.
An automated, high-performance ETL engine using DuckDB and advanced SQL window functions to calculate customer cohort retention and Lifetime Value (LTV) across millions of rows in milliseconds.
Workqueue analytics that replays WQ event logs with SQL window functions to measure aging and first-pass yield, and detects ping-pong claims bouncing between queues under conflicting routing rules. 1.0 precision/recall on labeled victims, 1.1M events analyzed in 7s, with a generated daily ops packet (Excel + PDF).
Applied MySQL to solve business problems.
To associate your repository with the sql-window-functions topic, visit your repo's landing page and select "manage topics."