Docs

README.md

@@ -1,32 +1,31 @@
-***Ana**lysis **Logic** **A**bstraction **L**ayer*
+_**Ana**lysis **Logic** **A**bstraction **L**ayer_
 
 ![Version](https://img.shields.io/badge/Version-0.2.0-blue.svg)
 [![Ubuntu](https://github.com/taehyounpark/analogical/actions/workflows/ubuntu.yml/badge.svg?branch=master)](https://github.com/taehyounpark/analogical/actions/workflows/ubuntu.yml)
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-[![Documentation](https://img.shields.io/badge/mkdocs-Documentation-blue.svg)](https://opensource.org/licenses/MIT)
+[![Documentation](https://img.shields.io/badge/Documentation-mkdocs-blue.svg)](https://taehyounpark.github.io/analogical/home/design/)
 [![MIT License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 
+`analogical` is a C++ library for performing dataset transformations.
+
+<p align="center">
+	<strong> <a href="https://marzer.github.io/tomlplusplus/">See full documentation</a></strong>
+</p>
 
-## Features
 
-`analogical` is a C++ dataset transformation library.
+## Features
 
-- "Dataflow" interface.
+- *Dataflow* interface.
 - Lazy execution.
 - Multithreaded processing.
 - Sensitivity analysis.
 
 ## Design goals
 
-- **Clear interface.** Specify operations with a clear, high-level abstraction interface using modern C++ syntax.
-- **Customizable plugins.** Operations with arbitrary inputs, execution, and outputs receive first-class treatment: from custom datasets and columns to complex aggregations, there is a customizable ABC.
-- **Sensitivity analysis.** With built-in handling of systematic variations, changes to an operation are automatically propagated and all results under the original and varied scenarios are obtained simultaneously.
-- **Computational efficiency.** Dataset operations are (1) multithreaded, and (2) performed for an entry only if needed.
-
-## Documentation
-
-***<p style="text-align: center;">[The documentation is under construction](https://taehyounpark.github.io/analogical/)</p>***
-
+- **Clear interface.** Use a clear high-level abstraction layer with modern C++ syntax to specify even the most complex operations.
+- **Customizable operations.** Support for inputs and outputs of any type and arbitrary execution, such as custom dataset formats, column definitions, and aggregation algorithms.
+- **Sensitivity analysis.** Systematic variations of an analysis are automatically propagated and simultaneously processed within one dataset traversal.
+- **Computational efficiency.** Dataset operations are performed for an entry only if needed. Dataset traversal is multithreaded.
 
 ## Installation