Login to your profile!



No account? sign up!

wine-quality     (Machine Learning Data)

Download data

This data set is in the collection of Machine Learning Data

   Download wine-quality

wine-quality is 258KB compressed!

Visualize and interactively analyze wine-quality and discover valuable insights using our interactive visualization platform. Compare with hundreds of other data across many different collections and types.

Metadata

NameWine Quality
Data typesMultivariate
Data taskClassification, Regression
Attribute typesReal
Instances4898
Attributes12
Year2009
AreaBusiness
DescriptionTwo datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], http://www3.dsi.uminho.pt/pcortez/wine/).

Please cite the following if you use the data:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={AAAI},
     url={https://networkrepository.com},
     year={2015}
}

Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.

@     Name = Wine QualityData types = MultivariateData task = Classification,
     RegressionAttribute types = RealInstances = 4898Attributes = 12Year = 2009Area = BusinessDescription = Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], http://www3.dsi.uminho.pt/pcortez/wine/).,

Interactive Visualization of Machine Learning Data

Tools for Interactive Exploration of ML Data

Visualize and interactively explore wine-quality and its important statistics!

  • A subset of interesting data points may be selected. To select a subset of data points, hold down the left mouse button while dragging the mouse in any direction until the data points of interest are highlighted.This feature allows users to explore and analyze various subsets of data points to gain insights
  • Zoom in/out on the visualization you created at any point by using the buttons below on the left.
  • Once a subset of interesting data points are selected, the user may further analyze by selecting and drilling down on any of the interesting attributes using the left menu below.
  • We also have tools for interactively visualizing, comparing, and exploring the data and statistics.