fetch_ucirepo {ucimlrepo}

Fetch UCI ML Repository Dataset

Description

Loads a dataset from the UCI ML Repository, including the dataframes and metadata information.

Usage

fetch_ucirepo(name, id)

Arguments

name

Character. Dataset name, or substring of name.

id

Integer. Dataset ID for UCI ML Repository.

Details

Only provide name or id, not both.

Value

A list containing dataset metadata, dataframes, and variable info in its properties.

• data: Contains dataset matrices as pandas dataframes

  • ids: Dataframe of ID columns

  • features: Dataframe of feature columns

  • targets: Dataframe of target columns

  • original: Dataframe consisting of all IDs, features, and targets

  • headers: List of all variable names/headers

• metadata: Contains metadata information about the dataset.

  • uci_id: Unique dataset identifier for UCI repository

  • name: Name of dataset on UCI repository

  • repository_url: Link to dataset webpage on the UCI repository

  • data_url: Link to raw data file

  • abstract: Short description of dataset

  • area: Subject area e.g. life science, business

  • tasks: Associated machine learning tasks e.g. classification, regression

  • characteristics: Dataset types e.g. multivariate, sequential

  • num_instances: Number of rows or samples

  • num_features: Number of feature columns

  • feature_types: Data types of features

  • target_col: Name of target column(s)

  • index_col: Name of index column(s)

  • has_missing_values: Whether the dataset contains missing values

  • missing_values_symbol: Indicates what symbol represents the missing entries (if the dataset has missing values)

  • year_of_dataset_creation: Year that data set was created

  • dataset_doi: DOI registered for dataset that links to UCI repo dataset page

  • creators: List of dataset creator names

  • intro_paper: Information about dataset's published introductory paper

  • external_url: URL to external dataset page. This field will only exist for linked datasets i.e. not hosted by UCI

  • additional_info: Descriptive free text about dataset

    • summary: General summary

    • purpose: For what purpose was the dataset created?

    • funded_by: Who funded the creation of the dataset?

    • instances_represent: What do the instances in this dataset represent?

    • recommended_data_splits: Are there recommended data splits?

    • sensitive_data: Does the dataset contain data that might be considered sensitive in any way?

    • preprocessing_description: Was there any data preprocessing performed?

    • variable_info: Additional free text description for variables

    • citation: Citation Requests/Acknowledgements

• variables: Contains variable details presented in a tabular/dataframe format

  • name: Variable name

  • role: Whether the variable is an ID, feature, or target

  • type: Data type e.g. categorical, integer, continuous

  • demographic: Indicates whether the variable represents demographic data

  • description: Short description of variable

  • units: Variable units for non-categorical data

  • missing_values: Whether there are missing values in the variable's column

Examples

# Access Data by Name
iris_dl <- fetch_ucirepo(name = "iris")

# Access original data
iris_uci <- iris_dl$data$original

# Access features and targets
iris_features <- iris_dl$data$features
iris_targets <- iris_dl$data$targets

# Access Data by ID
iris_dl <- fetch_ucirepo(id = 53)