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README.md

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[![macOS](https://github.com/taehyounpark/analogical/actions/workflows/macos.yml/badge.svg?branch=master)](https://github.com/taehyounpark/analogical/actions/workflows/macos.yml)
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[![MIT License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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`queryosity` is a row-wise analysis description language for semi-structured data.
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`queryosity` is a row-wise data analysis description language.
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<p align="center">
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<strong> <a href="https://taehyounpark.github.io/queryosity/">See full documentation</a></strong>
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## Features
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- **Super simple.** The easy-to-learn API has a grand total of *five* endpoints.
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- **Arbitrary actions.** Work with datasets/columns/queries of *any* data structure the way *you* want to.
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- **Arbitrary data types.** Work with datasets/columns/queries of *any* data structure.
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- **Lazy but efficient.** An action is performed for an entry only if needed. All actions are performed in one dataset traversal. Dataset traversal is multithreaded.
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- **Systematic variations.** Perform *automatic* sensitivity analysis by applying systematic variations on actions.
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- **Systematic variations.** Perform *automatic* sensitivity analysis by applying systematic variations on columns.
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## At a glance
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## Hello World
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```cpp
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#include "queryosity/json.h"
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#include "queryosity/hist.h"

docs/pages/main.md

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@tableofcontents
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`queryosity` is a row-wise analysis description language for semi-structured data.
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`queryosity` is a row-wise data analysis description language.
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<!-- --------------------------------------------------------------------------------------------------------------- -->
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@section mainpage-features Features
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- **Super simple.** The easy-to-learn API has a grand total of *five* endpoints.
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- **Arbitrary actions.** Work with datasets/columns/queries of *any* data structure the way *you* want to.
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- **Arbitrary data types.** Work with datasets/columns/queries of *any* data structure.
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- **Lazy but efficient.** An action is performed for an entry only if needed. All actions are performed in one dataset traversal. Dataset traversal is multithreaded.
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- **Systematic variations.** Perform *automatic* sensitivity analysis by applying systematic variations on actions.
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- **Systematic variations.** Perform *automatic* sensitivity analysis by applying systematic variations on columns.
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@section mainpage-documentation Documentation
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docs/poxy.toml

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name = 'queryosity'
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author = 'Tae Hyoun Park'
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description = 'Coherent analysis description language'
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description = 'Coherent data analysis description language'
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cpp = 17
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github = 'taehyounpark/queryosity'
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license = [ 'MIT', 'https://github.com/taehyounpark/queryosity/blob/master/LICENSE' ]

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