Update README.md (#1079)

README.md

@@ -67,15 +67,17 @@ External supporting projects - **outside of this organization**:
 
 ### Integrations
 
+#### Jupyter Notebooks
+
 * We recommend trying Tablesaw inside [Jupyter notebooks](http://arogozhnikov.github.io/2016/09/10/jupyter-features.html), which lets you experiment with Tablesaw in a more interactive manner. Get started by [installing BeakerX](http://beakerx.com/documentation) and trying [the sample Tablesaw notebook](https://github.com/twosigma/beakerx/blob/master/doc/groovy/Tablesaw.ipynb)
-* A second way to use Tablesaw inside [Jupyter notebooks](http://arogozhnikov.github.io/2016/09/10/jupyter-features.html) is with [IJava](https://github.com/SpencerPark/IJava), which has built-in support for Tablesaw. Gary Sharpe has written [an excellent tutorial](https://medium.com/@gmsharpe/java-jupyter-plotly-e1bbaa7f2be8) that shows you how. Gary has written a number of other tutorials that feature Tablesaw:
+* A second way to use Tablesaw inside [Jupyter notebooks](http://arogozhnikov.github.io/2016/09/10/jupyter-features.html) is with [IJava](https://github.com/SpencerPark/IJava), which has built-in support for Tablesaw. Gary Sharpe has written [an excellent tutorial](https://medium.com/@gmsharpe/java-jupyter-plotly-e1bbaa7f2be8) that shows you how to use Tablesaw plots. Gary has written a number of other tutorials that feature Tablesaw:
   * [Tidy Data with Java & Jupyter](https://medium.com/@gmsharpe/tidy-data-with-java-jupyter-b1e131b37ab0)
   * [Dataframes with Tablesaw — JSON](https://medium.com/@gmsharpe/dataframes-with-tablesaw-json-46dda9c8c217?source=your_stories_page----------------------------------------)
   * [Dataframes with Tablesaw — CSV Files](https://medium.com/@gmsharpe/importing-data-with-tablesaw-part-1-csv-files-3ac6f135cf6f?source=your_stories_page----------------------------------------)
-  * [Getting Started with Dataframes using Java and Google Colab](https://medium.com/@gmsharpe/getting-started-with-tablesaw-and-google-colab-65ef0cbe280c)
+* A third approach is to use [Google Colab](https://colab.research.google.com). Again, Gary Sharpe has an excellent tutorial:[Getting Started with Dataframes using Java and Google Colab](https://medium.com/@gmsharpe/getting-started-with-tablesaw-and-google-colab-65ef0cbe280c)
 
-* Eclipse uses may find [etablesaw](https://github.com/hallvard/etablesaw) useful. It provides Eclipse integration aimed at turning Eclipse into a data workbench.   
+#### Other integrations
 
+* Eclipse uses may find [etablesaw](https://github.com/hallvard/etablesaw) useful. It provides Eclipse integration aimed at turning Eclipse into a data workbench.   
 * You may utilize Tablesaw with many machine learning libraries. To see an example of using Tablesaw with [Smile](https://haifengl.github.io) check out [the sample Tablesaw Jupyter notebook](https://github.com/twosigma/beakerx/blob/master/doc/groovy/Tablesaw.ipynb)
-
 * You may use [quandl4j-tablesaw](http://quandl4j.org) if you'd like to load financial and economic data from [Quandl](https://www.quandl.com) into Tablesaw. This is demonstrated in [the sample Tablesaw notebook](https://github.com/twosigma/beakerx/blob/master/doc/groovy/Tablesaw.ipynb) as well