Libraries tagged by data analytics

EdilsonCsilva

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TYPO3 extension to render an analysis index based on medicalvalues data management.

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Utilities for helping with static analysis of Moodle code, and various extracted data.

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Using AI to analyze data and receive insights to improve specific areas of your business

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DAP API

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Archon: PHP Data Analysis Library

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PHP SDK for programmatically connecting to Apache Drill.

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collect and aggregate data for statistical analysis

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SQL database analysis for common errors in structure, data and configuration

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Symfony2 bundle to push an retrieve statistical datas with other languages (R and Python)

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Visualization and analysis of git commit statistics. Team Lead performance tool.

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RedLink SDK PHP is a client library and framework to request and deal with RedLink API

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WebParser is a PHP library that allows developers to parse and query webpages using an ORM-like syntax. It facilitates the extraction of HTML elements by chaining operations such as filtering by ID or class, ordering results, and limiting output. WebParser offers a flexible interface for exploring and extracting data from the web, making it ideal for web scraping and data analysis tasks.

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Search Package OverviewThe Search package is a powerful tool designed to facilitate efficient and effective search operations within various datasets or databases. It provides a set of functions and classes that enable users to perform complex search queries, filter results, and retrieve relevant data with ease. The package is highly customizable, allowing users to define their own search criteria, implement sorting mechanisms, and handle large volumes of data seamlessly.Key Features: Customizable Search Queries: Users can create tailored search queries using various operators and conditions, making it possible to perform both simple and advanced searches. Sorting and Filtering: The package includes built-in methods to sort and filter search results, enabling users to organize data based on specific parameters such as date, relevance, or custom fields. Scalability: Designed to handle large datasets, the Search package is optimized for performance, ensuring quick response times even with millions of records. Integration: The package is compatible with a variety of databases and data sources, making it a versatile solution for different types of projects. User-Friendly Interface: It offers a straightforward API that is easy to use, even for those who are not experts in programming. This allows a broader audience to leverage the power of advanced search capabilities.Use Cases: Data Analysis: Quickly find and retrieve specific information from large datasets for analysis. Content Management Systems: Implement efficient search functionality in content-heavy websites or applications. E-commerce: Enhance product search features in online stores, improving the user experience by providing relevant results swiftly. Knowledge Bases: Help users find relevant articles or documentation based on keyword searches.Overall, the Search package is an essential tool for anyone needing to implement or enhance search functionality in their applications, providing both power and flexibility in managing and retrieving data.

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