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.
Reservoir Sampling for Group-By Queries in Flink Platform. Answering effectively Single Aggregate.
The PHP's library to provide simple data manipulaton tools.
Simple Go utility for dynamic multi-level grouping (multi group) of slice elements based on custom key selectors
Basic MS-SQL queries to help beginners understand SQL concepts.
Analysis of past years' IPL data with help of complex SQL queries, visualized the outcome in tableau and drawn meaningful conclusions on the outcome
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