basic_classifier

basic_classifier.default

basic_classifier.cell_df

Either a <code><a rd-options="=cell_df-class" href="/link/cell_df?package=tidycells&version=0.2.2&to=%3Dcell_df-class" data-mini-rdoc="=cell_df-class::cell_df">cell_df</a></code> or leave blank for function output
(required by <code><a rd-options="=value_attribute_classify" href="/link/value_attribute_classify?package=tidycells&version=0.2.2&to=%3Dvalue_attribute_classify" data-mini-rdoc="=value_attribute_classify::value_attribute_classify">value_attribute_classify</a></code>)

Naive <code>data_type</code> Based Value/Attribute Classifier

internal

Provides utilities to read, cells from complex
tabular data and heuristic detection based 'structural assignment' of
those cells to a columnar or tidy format. Read functionality has the
ability to read structured, partially structured or unstructured
tabular data from various types of documents. The 'structural
assignment' functionality has both supervised and unsupervised way of
assigning cells data to columnar/tidy format. Multiple disconnected
blocks of tables in a single sheet are also handled appropriately.
These tools are suitable for unattended conversation of messy tables
into a consumable format(usable for further analysis and data
wrangling).

Indranil Gayen

tidycells

Read Tabular Data from Diverse Sources and Easily Make Them Tidy

basic_classifier function

Either a <code><a rd-options='=cell_df-class' href='cell_df'>cell_df</a></code> or leave blank for function output
(required by <code><a rd-options='=value_attribute_classify' href='value_attribute_classify'>value_attribute_classify</a></code>)

basic_classifier: Naive `data_type` Based Value/Attribute Classifier

Description

Usage

Arguments

See Also