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Scatterplot of the data set. The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]
CSV Clustering, Events, Language Detection 2018 [32] R. Kulkarni Reuters News Wire Headline 11 Years of timestamped events published on the news-wire Publish time, Headline Text 16,121,310 CSV NLP, Computational Linguistics, Events 2018 [33] R. Kulkarni The Irish Times Ireland News Corpus 24 Years of Ireland News from 1996 to 2019
Data Commons places more emphasis on statistical data than is common for linked data and knowledge graph initiatives. It includes geographical, demographic, weather and real estate data alongside other categories, [3] describing states, Congressional districts, and cities in the United States as well as biological specimens, power plants, and elements of the human genome via the Encyclopedia ...
The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research.
Fusion Tables accepted a data file structured as a simple database table, typically a .csv but also other delimiters. It also imported KML, reading each KML placemark or geospatial object into its own row. Fusion Tables files were private, unlisted or public, as specified by the user and followed the convention established by other Google Docs ...
Tables allows users to import data directly from a Google Sheet or CSV file, and also performs a one-way recurring sync of data from a table into Google Sheets. [ 16 ] Person-type columns in Tables allow the user to search for and select Google users from your Gmail contacts.
The SDMX converter is an open source application that offers the ability to convert DSPL (Google's Dataset Publishing Language) messages to SDMX-ML, and vice versa.The output file of a DSPL dataset is a zip file containing data (in the form of CSV files) and metadata (as an XML file).
Sparse principal component analysis (SPCA or sparse PCA) is a technique used in statistical analysis and, in particular, in the analysis of multivariate data sets. It extends the classic method of principal component analysis (PCA) for the reduction of dimensionality of data by introducing sparsity structures to the input variables.