4 个仓库
Mathematical reduction of table columns into summary values.
Distinct from Functional Data Aggregation: Focuses on summary calculations within a UI grid rather than functional programming reductions or telemetry streams.
Explore 4 awesome GitHub repositories matching data & databases · Tabular Data Aggregation. Refine with filters or upvote what's useful.
vxe-table is a high-performance data table component and UI library for Vue, designed for building data-heavy applications. It functions as a virtualized data grid and spreadsheet UI framework capable of rendering millions of rows by mounting only the visible elements of a dataset. The project distinguishes itself through spreadsheet-like functionality, including cell selection, copy-paste support, and the generation of cross-tabulated pivot tables. It also provides specialized tools for managing complex data hierarchies using virtual trees, row grouping, and cell merging. The library covers
Calculates summaries and applies mathematical functions to provide high-level insights from raw tabular data.
smartTable is a data grid component and table view framework for Android. It functions as an annotation-driven UI library that uses class and field markers to automatically map data models to visual columns and define table properties. The project distinguishes itself through deep spreadsheet integration, providing tools to import and export data to and from Excel files while preserving cell formatting, styles, colors, and alignment. It also features a canvas-based rendering system that supports complex grid layouts with merged cells, frozen headers, and column locking. The library covers a
Performs mathematical reduction of table columns into summary values within a dedicated row.
This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi
Provides mathematical reduction of table columns into summary values using group-by operations.
Xan is a command-line tool and data transformation engine for processing CSV, TSV, and JSONL datasets. It functions as a processor for compressed files, enabling random access and seeking within gzipped and Zstd files, and serves as a converter for specialized bioinformatics data formats. The tool handles large datasets without requiring full memory loads by utilizing stream-based processing. It provides capabilities for merging, sorting, and deduplicating massive files, as well as converting data between various tabular formats. The project covers a broad range of data wrangling and analysi
Implements mathematical reduction of table columns into summary values to condense large datasets.