Update README with a few more badges (#144)

README.md

@@ -3,12 +3,13 @@
 
 ![Logo](https://raw.githubusercontent.com/facebookresearch/hiplot/master/hiplot/static/logo.png)
 
-[![License: MIT](https://img.shields.io/badge/License-MIT-brightgreen.svg)](https://opensource.org/licenses/MIT) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/facebookresearch/hiplot/blob/master/examples/HiPlotColabExample.ipynb)
+[![License: MIT](https://img.shields.io/badge/License-MIT-brightgreen.svg)](https://opensource.org/licenses/MIT)
+[![PyPI download month](https://img.shields.io/pypi/dm/hiplot.svg)](https://pypi.python.org/pypi/hiplot/) [![PyPI version](https://img.shields.io/pypi/v/hiplot.svg)](https://pypi.python.org/pypi/hiplot/) [![docs](https://img.shields.io/badge/docs-passing-brightgreen.svg)](https://facebookresearch.github.io/hiplot/index.html) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/facebookresearch/hiplot/blob/master/examples/HiPlotColabExample.ipynb)
 
 
 HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data using parallel plots and other graphical ways to represent information.
 
-### [Try a demo now with sweep data](https://facebookresearch.github.io/hiplot/_static/demo/ml1.csv.html) or [upload your CSV](https://facebookresearch.github.io/hiplot/_static/hiplot_upload.html)  or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/facebookresearch/hiplot/blob/master/examples/HiPlotColabExample.ipynb)
+### [Try a demo now with sweep data](https://facebookresearch.github.io/hiplot/_static/demo/ml1.csv.html) or [upload your CSV](https://facebookresearch.github.io/hiplot/_static/hiplot_upload.html)  or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/facebookresearch/hiplot/blob/master/examples/HiPlotColabExample.ipynb) 
 
 There are several modes to HiPlot:
 - As a web-server (if your data is a CSV for instance)
@@ -40,6 +41,8 @@ hip.Experiment.from_iterable(data).display()
 * Pypi package: https://pypi.org/project/hiplot/
 * Conda package: https://anaconda.org/conda-forge/hiplot
 * NPM package: https://www.npmjs.com/package/hiplot
+* Examples: https://github.com/facebookresearch/hiplot/tree/master/examples
+
 
 ## Citing