What does pair-code/facets do?

Facets is a set of interactive software tools for the statistical analysis, distribution visualization, and multidimensional exploration of machine learning datasets. It provides a visual interface for identifying outliers and missing values in numeric and string data, specifically designed for auditing dataset quality and identifying skews between training and validation sets.

What are the main features of pair-code/facets?

The main features of pair-code/facets are: View Layering & Faceting, Distribution Analysis, Dataset Analysis Tools, Visualizers, Statistical Analysis, Visual Data Explorers, Visualization Coordinate Mapping, Interactive Data Binning.

What are some open-source alternatives to pair-code/facets?

Open-source alternatives to pair-code/facets include: tidyverse/ggplot2 — ggplot2 is a data visualization library for R based on a formal grammar of graphics. It provides a declarative… hadley/ggplot2 — ggplot2 is an R data visualization library and statistical graphics engine. It implements a grammar of graphics that… has2k1/plotnine — Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative… vega/vega-lite — Vega-Lite is a high-level declarative language for specifying interactive, multi-view visualizations. It compiles a… kanaries/rath — Rath is an LLM-powered data analytics platform and augmented analytics engine designed for automated data exploration… nicolaskruchten/pivottable — This project is a JavaScript pivot table library and client-side data processor. It provides an interactive interface…

Facets | Awesome Repos

Features

View Layering & Faceting - Renders multidimensional data distributions across multiple feature axes using synchronized faceted views and interactive filtering.
Distribution Analysis - Provides visualizations of value distributions across features to identify skews between training and validation sets.
Dataset Analysis Tools - Visualizes feature distributions and statistics to find missing data, outliers, and skews in ML datasets.
Visualizers - Offers an interactive tool for exploring feature distributions and identifying data skews in ML datasets.
Statistical Analysis - Produces visual feature-by-feature statistical analysis to identify outliers, missing values, and distribution skews.
Visual Data Explorers - Enables mapping of individual data points across multiple dimensions using interactive bucketing for error detection.
Visualization Coordinate Mapping - Maps individual dataset samples to visual coordinates across multiple dimensions to facilitate outlier and failure detection.
Interactive Data Binning - Groups continuous feature values into interactive discrete bins to enable efficient navigation of large datasets.
Data Explorers - Provides a visual interface for mapping data points across multiple dimensions using bucketing and filtering.
Synchronized View Filtering - Updates all active visualization panels simultaneously when a specific data subset is selected in any single view.
Classification Error Analysis - Identifies systematic classifier failures by exploring how specific data points behave across different feature dimensions.
Statistical Aggregators - Provides client-side utilities that compute summary statistics and distribution skews directly in the browser.
Faceted Plotting Systems - Uses faceted plotting systems to visualize thousands of data points through interactive zooming and animation.
Dataset Comparators - Compares numeric and string data distributions to evaluate statistical drift and ensure dataset quality.
Anomaly Distribution Plots - Uses faceting and animation to reveal patterns and anomalies within large-scale dataset distributions.
View Transition Animations - Implements animated transitions that interpolate point positions when switching between feature projections to maintain visual context.
Data Visualization - Visualizations for analyzing ML datasets.

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Vezi toate cele 30 alternative pentru Facets

Facets | Awesome Repos

PAIR-codefacetsArchived

Facets

Features

Alternative open-source pentru Facets

tidyverse/ggplot2

hadley/ggplot2

has2k1/plotnine

vega/vega-lite

Frequently asked questions

Istoric stele

Alternative open-source pentru Facets

tidyverse/ggplot2

hadley/ggplot2

has2k1/plotnine

vega/vega-lite

Frequently asked questions