Without data, there is no data analysis. Accessing data is an essential
step in any data analysis work flow.
The Extreme Optimization Numerical Libraries for .NET
provide a unified API for loading and storing objects like data frames,
vectors, and matrices from a variety of data sources.
The unified API makes it very simple to switch between data sources.
In this section:
The particulars of text-based formats.
Delimited text files
Reading and writing delimited text formats such as
Comma Separated Values (CSV) and Tab Separated Values (TSV).
Fixed-width Text Files
Reading text files with fixed width columns.
Matrix Market Files
A human-readable exchange format for dense or sparse
vectors and matrices with real or complex elements.
Reading and writing files in JSON format. Serializing
and deserializing data frames, vectors, and matrices
using the JSON.NET library.
Binary data formats
Reading Matlab®'s proprietary .mat file format.
Reading and writing files in R's .rda/.rdata
and .rds formats.
Reading data frames from stata®'s .dta files.