The goal of this package is to provide wrapper functions in the 
    data cleaning and cleansing processes. These function helps in messages and 
    interaction with the user, keep track of information in pipelines, help in 
    the wrangling, munging, assessment and visualization of data frame-like 
    material.

Helps you imagine your data before you collect it. Hierarchical data structures
   and correlated data can be easily simulated, either from random number generators or
   by resampling from existing data sources. This package is faster with 'data.table' and
   'mvnfast' installed.

Allows the user to implement easily canvas elements within a 'shiny' app or an 'RMarkdown' document. 
    The user can create shapes, images and text elements within the canvas which can also be used as a drawing tool for taking notes.
    The package relies on the 'fabricjs' 'JavaScript' library. See <http://fabricjs.com/>.

Query data hosted in 'Microsoft Fabric'. Provides helpers to open 'DBI'
    connections to 'SQL' endpoints of 'Lakehouse' and 'Data Warehouse' items; submit
    'Data Analysis Expressions' ('DAX') queries to semantic model datasets in 'Microsoft
    Fabric' and 'Power BI'; read 'Delta Lake' tables stored in 'OneLake'
    ('Azure Data Lake Storage Gen2'); and execute 'Spark' code via the 'Livy API'.

We implement the Fast Covariance Estimation for 
             Sparse Functional Data paper published in Statistics and Computing <doi: 10.1007/s11222-017-9744-8>.

Collect  marketing data from facebook Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
    Use four spaces when indenting paragraphs within the Description.

Collect  your data on digital marketing campaigns from Facebook Leads Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Collect  your data on digital marketing campaigns from 'Facebook Organic' using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Provides an interface to the 'Kairos' Face Recognition API <https://kairos.com/face-recognition-api>. The API detects faces in images and returns estimates for demographics like gender, ethnicity and age.