		@@ -0,1 +1,6 @@
		# [0.2.0](https://github.com/Teradata/covalent/tree/0.2.0) (2016-09-28)

		## Features
		* Mock chart data

		# [0.1.1](https://github.com/Teradata/covalent/tree/0.1.1) (2016-09-23)
		@@ -2,0 +7,0 @@

package.json

		{
		"name": "@covalent/data",
		"version": "0.1.0",
		"version": "0.2.0",
		"description": "A golang based mock data server CLI, for use with Teradata Covalent Quickstart",
		@@ -12,3 +12,3 @@ "author": "Ilsun Park <ilsun.park@gmail.com>",
		"scripts": {
		"preinstall": "node node/install.js 0.1.0"
		"preinstall": "node node/install.js 0.2.0"
		},
		@@ -25,2 +25,2 @@ "repository": {
		}
		}
		}

README.md

		@@ -24,2 +24,11 @@ # covalent-data

		#### docker
		To run from docker:

		1. Install [Docker Engine](https://docs.docker.com/engine/installation/).
		2. Pull down this repo and `cd` into it.
		3. `docker build -t covalent-data .`
		4. `docker run -p 8080:8080 --name covalent-data covalent-data`
		5. To stop- `docker stop covalent-data`

		#### covalent-quickstart
		@@ -88,2 +97,77 @@ covalent-data is included in the [covalent-quickstart](https://github.com/Teradata/covalent-quickstart) repo.

		#### Charts
		Covalent-data will create realistic chart data that you can use right away in your charts.

		##### Step one (create a new mock chart)
		Send a `POST http://localhost:8080/charts` with a body that's formatted as such:

		``` json
		{
		"name": "my new chart",
		"key": "MyChartKey"
		"num_data_points": 60,
		"interval_seconds": 90,
		"y_axes": [
		{
		"name": "cpu",
		"function_type": "black_friday"
		},
		{
		"name": "hits",
		"function_type": "sawtooth"
		}
		]
		}
		```

		This will create 60 points, spaced 90 seconds apart, with two y-axes- `cpu` and `hits`.
		The following `function_types` for Y axes are available:

		- `black_friday`
		- `sawtooth`
		- `sine`
		- `slow_rise`
		- `slow_decline`
		- `square`
		- `triangle`

		The value you set for `key` is how you will access your mock chart data. This is an optional value, and if you dont set this, the API will assign a unique key for your mock chart data.

		##### Step two (consume chart data)
		Send a `GET http://localhost:8080/charts/MyChartKey` and you will get a JSON array back that looks similar to this:
		```json
		[
		{
		"cpu": 3.4086436391430617,
		"hits": 0,
		"timestamp": 1474998463
		},
		{
		"cpu": 3.436764648923683,
		"hits": 1,
		"timestamp": 1474998523
		},
		{
		"cpu": 4.839440493047819,
		"hits": 2,
		"timestamp": 1474998583
		},
		{
		"cpu": 3.871987273635802,
		"hits": 3,
		"timestamp": 1474998643
		},
		{
		"cpu": 3.3517529842176668,
		"hits": 4,
		"timestamp": 1474998703
		},
		{
		"cpu": 4.161895630999336,
		"hits": 5,
		"timestamp": 1474998763
		}
		]
		```

		### Upcoming and To-Dos
		@@ -90,0 +174,0 @@ - [ ] Add a dockerfile and add to docker hub

.travis.yml