Added screenshot, updated readme

.npmignore

@@ -1 +1,4 @@
 src
+resources
+.babelrc
+.eslintrc

README.md

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 Javascript based Kalman filter for 1D data. Sometimes you need a simple noise filter without any dependencies; for those cases *Kalman.js* is perfect.
 
+![Kalman filter applied to a noisy dataset.](/resources/kalman_example.png?raw=true "Kalman filter applied to a noisy dataset.")
+
+## Example use
+
+Using the filter is simple. First we create a simple dataset with random noise:
+
+```javascript
+//Generate a simple static dataset
+var dataConstant = Array.apply(null, {length: dataSetSize}).map(function() {
+  return 4;
+});
+//Add noise to data
+var noisyDataConstant = dataConstant.map(function(v) {
+  return v + randn(0, 3);
+});
+```
+
+Then we apply the filter iteratively on each data element:
+
+```javascript
+//Apply kalman filter
+var kalmanFilter = new KalmanFilter({R: 0.01, Q: 3});
+
+var dataConstantKalman = noisyDataConstant.map(function(v) {
+  return kalmanFilter.filter(v);
+});
+```
+
+See [this blog post](https://wouterbulten.nl/blog/tech/lightweight-javascript-library-for-noise-filtering/) for screenshots and more examples.
+
 ## Background
 
 * [KalmanJS, Lightweight Javascript Library for Noise filtering](https://wouterbulten.nl/blog/tech/lightweight-javascript-library-for-noise-filtering/)

package.json

@@ -13,7 +13,7 @@
     "type": "git",
     "url": "git://github.com/wouterbulten/kalmanjs.git"
   },
-  "description": "Javascript based Kalman filter for 1D data",
+  "description": "A small library implementing the principle of Kalman filters, without any dependencies, to filter out noise in 1D systems.",
   "bugs": {
     "url": "https://github.com/wouterbulten/kalmanjs/issues"
   },