Krisna Dwi Andrianto krisnadwia

This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.

The HTML page provides the basic code required to load the data and display it on the page (as JSON) using D3.js.

For a more up to date code example with React & D3, see (VizHub: Stylized Scatter Plot)[https://vizhub.com/curran/3d631093c2334030a6b27fa979bb4a0d?edit=files&file=index.js].

There are two types of markup in Liquid: Output and Tag.

Output markup (which may resolve to text) is surrounded by

{{ matched pairs of curly brackets (ie, braces) }}

Tag markup (which cannot resolve to text) is surrounded by

	/**
	* Get Local IP Address
	*
	* @returns Promise Object
	*
	* getLocalIP().then((ipAddr) => {
	* console.log(ipAddr); // 192.168.0.122
	* });
	*/
	function getLocalIP() {