Perform fast and efficient data analysis with the power of SQL
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Updated
Aug 18, 2024 - Jupyter Notebook
Perform fast and efficient data analysis with the power of SQL
A Quick, Interactive Approach to Learning Analytics with SQL
An implementation of the `group_by` Haskell function for slice and strings
a minimalist dataframe
Extensions and extras for tidy processing.
Simple Go utility for dynamic multi-level grouping (multi group) of slice elements based on custom key selectors
Reservoir Sampling for Group-By Queries in Flink Platform. Answering effectively Single Aggregate.
The PHP's library to provide simple data manipulaton tools.
A SQL-based fraud detection project using PostgreSQL to analyze transaction data for a bank and uncover high-risk behaviors, repeat offenders, and location-based anomalies.
Analysis of past years' IPL data with help of complex SQL queries, visualized the outcome in tableau and drawn meaningful conclusions on the outcome
Basic MS-SQL queries to help beginners understand SQL concepts.
This repository contains text files that cover various concepts and functionalities in MySQL. Each file provides detailed explanations and examples, making it a valuable resource for learning and reference.
DW://master is an interactive educational platform for mastering data warehousing concepts — from core architecture to advanced slowly changing dimensions (SCD), schema design, IBM Watsonx.data lakehouse technology, and SQL aggregation analytics. Features an AI tutor powered by Claude Sonnet 4 that answers questions about each topic in real-time📊.
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