(The) Queryverse
Julia’s Queryverse provides a flexible way to work with data; it can be used by adding the “metapackage” Queryverse (see https://github.com/queryverse), which provides access to many of the component packages.
The Queryverse enables users to seamlessly import, transform, and analyze data through a user-friendly and expressive syntax.
The ecosystem includes packages such as DataFrames.jl for data storage and manipulation, VegaLite.jl for interactive data visualization, and Query.jl for efficient query capabilities. They can be used in combination to offer an intuitive environment for data exploration and analysis.
As we will see in the following examples, the Queryverse’s syntax makes extensive use of macros and pipes (|>).
Data can be loaded/saved from and to a variety of data file types, including CSV and XLSX (Excel) formats, and also from packages such as RDatasets.jl and VegaDatasets.jl.
By using DataFrames.jl and Query...
