npm package: @stdlib/dist-datasets-fivethirtyeight-ffq
Description: FiveThirtyEight reader responses to a food frequency questionnaire (FFQ) as a UMD bundle.
Author: The Stdlib Authors
Latest version: 0.0.96
Deprecated: Package no longer supported. Use @stdlib/datasets-fivethirtyeight-ffq instead or check out https://github.com/stdlib-js/datasets-fivethirtyeight-ffq for pre-built bundles.

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# FiveThirtyEight Food Frequency Questionnaire

> [_FiveThirtyEight_][fivethirtyeight-nutrition-studies] reader responses to a food frequency questionnaire ([FFQ][ffq]).

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var dataset = require( '@stdlib/dist-datasets-fivethirtyeight-ffq' ).FIVETHIRTYEIGHT_FFQ;
```

#### dataset()

Returns [_FiveThirtyEight_][fivethirtyeight-nutrition-studies] reader responses to a food frequency questionnaire ([FFQ][ffq]).

```javascript
var data = dataset();
// returns [ {...}, ... ]
```

</section>

<!-- /.usage -->

* * *

<section class="notes">

## Notes

-   The administered food frequency questionnaire ([FFQ][ffq]) was the proprietary [Block FFQ][block-ffq].

-   This package contains distributable files for use in browser environments or as shared ("vendored") libraries in server environments. Each distributable file is a standalone [UMD][umd] bundle which, if no recognized module system is present, will expose bundle contents to the global scope.

-   Each minified bundle has a corresponding [gzip][gzip]-compressed bundle. The [gzip][gzip] compression level for each compressed bundle is `9`, which is the highest (and most optimal) compression level. Deciding between uncompressed and compressed bundles depends on the application and whether compression is handled elsewhere in the application stack (e.g., [nginx][nginx], [CDN][cdn], _et cetera_).

-   While you are **strongly** encouraged to **vendor** bundles and host with a [CDN][cdn]/provider which can provide availability **guarantees**, especially for production applications, bundles are available via [unpkg][unpkg] for quick demos, proof-of-concepts, and instructional material. For example,

    ```html
    <script type="text/javascript" src="https://unpkg.com/@stdlib/dist-datasets-fivethirtyeight-ffq"></script>
    ```

    Please be mindful that [unpkg][unpkg] is a free, best-effort service relying on donated infrastructure which does **not** provide **any** availability guarantees. Under **no** circumstances should you **abuse** or **misuse** the service. You have been **warned**.

-   If you intend on embedding a standalone bundle **within** another bundle, you may need to rename `require` calls within the standalone bundle **before** bundling in order to maintain scoped module resolution. For example, if you plan on using [browserify][browserify] to generate a bundle containing embedded bundles, [browserify][browserify] plugins exist to "de-require" those bundles prior to bundling.

-   The bundles in this package expose the following [stdlib][stdlib] packages:

    -   [@stdlib/datasets/fivethirtyeight-ffq][@stdlib/datasets/fivethirtyeight-ffq]

</section>

<!-- /.notes -->

* * *

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var bifurcateBy = require( '@stdlib/utils/bifurcate-by' );
var inmap = require( '@stdlib/utils/inmap' );
var ttest2 = require( '@stdlib/stats/ttest2' );
var dataset = require( '@stdlib/dist-datasets-fivethirtyeight-ffq' ).FIVETHIRTYEIGHT_FFQ;

function predicate( v ) {
    return ( v.diabetes === 1 );
}

function createAccessor( field ) {
    return accessor;

    function accessor( v ) {
        return v[ field ];
    }
}

// Retrieve the data:
var data = dataset();

// Split the data into two groups based on whether a respondent has diabetes:
var groups = bifurcateBy( data, predicate );

// For each group, extract the frequency of green salad consumption:
var mapFcn = createAccessor( 'greensaladfreq' );
var g1 = inmap( groups[ 0 ].slice(), mapFcn );
var g2 = inmap( groups[ 1 ].slice(), mapFcn );

// Perform a two-sample two-sided Student's t-test to determine if green salad consumption is different between the two groups:
var results = ttest2( g1, g2 );
console.log( results.print() );
```

To include the bundle in a webpage,

```html
<script type="text/javascript" src="/path/to/@stdlib/dist-datasets-fivethirtyeight-ffq/build/bundle.min.js"></script>
```

If no recognized module system is present, access bundle contents via the global scope.

```html
<script type="text/javascript">
    // If no recognized module system present, exposed to global scope:
    var dataset = stdlib_datasets_fivethirtyeight_ffq.FIVETHIRTYEIGHT_FFQ;
    console.log( dataset() );
</script>
```

</section>

<!-- /.examples -->

<section class="links">

[stdlib]: https://github.com/stdlib-js/stdlib

[@stdlib/datasets/fivethirtyeight-ffq]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/datasets/fivethirtyeight-ffq

[fivethirtyeight-nutrition-studies]: https://fivethirtyeight.com/features/you-cant-trust-what-you-read-about-nutrition/

[block-ffq]: https://nutritionquest.com/assessment/list-of-questionnaires-and-screeners/

[ffq]: https://en.wikipedia.org/wiki/Food_frequency_questionnaire

[umd]: https://github.com/umdjs/umd

[gzip]: https://en.wikipedia.org/wiki/Gzip

[nginx]: http://nginx.org/en/docs/

[cdn]: https://en.wikipedia.org/wiki/Content_delivery_network

[unpkg]: https://unpkg.com/#/

[browserify]: https://github.com/browserify/browserify

</section>

<!-- /.links -->