Update save_as_html docs (#170)

README.md

@@ -88,13 +88,15 @@ For example, we might be interested in the attributes `AverageCost` and `SATAver
 
  See [this page](https://lux-api.readthedocs.io/en/latest/source/guide/intent.html) for more information on additional ways for specifying the intent.
 
-### Easy programmatic access of exported visualization objects: 
+### Easy programmatic access and export of visualizations: 
 
-Now that we have found some interesting visualizations through Lux, we might be interested in digging into these visualizations a bit more. We can click on one or more visualizations to be exported, so we can programmatically access these visualizations further in Jupyter. Visualizations are represented as `Vis` objects in Lux. These `Vis` objects can be translated into Altair or VegaLite code, so that we can further edit these visualizations.
+Now that we have found some interesting visualizations through Lux, we might be interested in digging into these visualizations a bit more or sharing it with others. We can save the visualizations generated in Lux as a [static, shareable HTML](https://lux-api.readthedocs.io/en/latest/source/guide/export.html#exporting-widget-visualizations-as-static-html) or programmatically access these visualizations further in Jupyter. Selected `Vis` objects can be translated into [Altair](http://altair-viz.github.io/) or [Vega-Lite](https://vega.github.io/vega-lite/) code, so that they can be further edited.
 
 <img src="https://github.com/lux-org/lux-resources/blob/master/readme_img/export.gif?raw=true"
      alt="Easily exportable visualization object"
      style="width:600px" />
+
+Learn more about how to save and export visualizations [here](https://lux-api.readthedocs.io/en/latest/source/guide/export.html#exporting-widget-visualizations-as-static-html).
 
 ### Quick, on-demand visualizations with the help of automatic encoding: 
 We've seen how `Vis`s are automatically generated as part of the recommendations. Users can also create their own Vis via the same syntax as specifying the intent. Lux is built on the philosophy that users should always be able to visualize anything they want, without having to think about *how* the visualization should look like. Lux automatically determines the mark and channel mappings based on a set of [best practices](http://hosteddocs.ittoolbox.com/fourshowmeautomaticpresentations.pdf). The visualizations are rendered via [Altair](https://github.com/altair-viz/altair/tree/master/altair) into [Vega-Lite](https://github.com/vega/vega-lite) specifications.
@@ -168,6 +170,6 @@ Other additional resources:
 
 - Sign up for the early-user [mailing list](https://forms.gle/XKv3ejrshkCi3FJE6) to stay tuned for upcoming releases, updates, or user studies. 
 - Visit [ReadTheDoc](https://lux-api.readthedocs.io/en/latest/) for more detailed documentation.
-- Try out these hands-on exercises (`exercise/`) or tutorial series (`tutorial/`) on [Binder](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=lab/). Or clone and run [lux-binder](https://github.com/lux-org/lux-binder) locally.
+- Try out these hands-on [exercises](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/exercise) or [tutorials](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial) on [Binder](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=lab/). Or clone and run [lux-binder](https://github.com/lux-org/lux-binder) locally.
 - Join our community [Slack](https://lux-project.slack.com/join/shared_invite/zt-iwg84wfb-fBPaGTBBZfkb9arziy3W~g) to discuss and ask questions.
 - Report any bugs, issues, or requests through [Github Issues](https://github.com/lux-org/lux/issues). 

doc/source/guide/export.rst

@@ -18,10 +18,25 @@ In this tutorial, we look at the `Happy Planet Index <http://happyplanetindex.or
 
 Note that for the convienience of this tutorial, we have set Lux as the default display so we don't have to Toggle from the Pandas table display everytime we print the dataframe.
 
-Exporting one or more visualizations from recommendations
+Exporting widget visualizations as static HTML
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-In Lux, you can click on visualizations of interest and export them into a separate widget for further processing.
+Let's say that you are interested in sharing the visualizations displayed in Lux with others, you can export the visualizations into a static HTML using the following command: 
+
+.. code-block:: python
+
+    df.save_as_html()
+
+By default, the file is saved as `export.html`, you can optionally specify the HTML filename in the input parameter. 
+
+.. code-block:: python
+
+    df.save_as_html('hpi.html')
+
+Selecting visualizations from recommendation widget
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You can also click on visualizations of interest and export them into a separate widget for further processing.
 
 .. code-block:: python