README polish

Author: Calvin Wang

README.md

@@ -1,6 +1,6 @@
 # PyDeequ
 
-PyDeequ is a Python API for [Deequ](https://github.com/awslabs/deequ), a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. PyDeequ is written to support usage of Deequ in Python .
+PyDeequ is a Python API for [Deequ](https://github.com/awslabs/deequ), a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. PyDeequ is written to support usage of Deequ in Python.
 
 [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) ![Coverage](https://img.shields.io/badge/coverage-90%25-green)
 
@@ -18,7 +18,7 @@ There are 4 main components of Deequ, and they are:
 ![](imgs/pydeequ_architecture.jpg)
 
 ## 🎉 Announcements 🎉
-- With PyDeequ v0.1.8, we now officially support Spark3 ! Just make sure you have an environment variable `SPARK_VERSION` to specify your Spark version! 
+- With PyDeequ v0.1.8+, we now officially support Spark3 ! Just make sure you have an environment variable `SPARK_VERSION` to specify your Spark version! 
 - We've release a blogpost on integrating PyDeequ onto AWS leveraging services such as AWS Glue, Athena, and SageMaker! Check it out: [Monitor data quality in your data lake using PyDeequ and AWS Glue](https://aws.amazon.com/blogs/big-data/monitor-data-quality-in-your-data-lake-using-pydeequ-and-aws-glue/).
 - Check out the [PyDeequ Release Announcement Blogpost](https://aws.amazon.com/blogs/big-data/testing-data-quality-at-scale-with-pydeequ/) with a tutorial walkthrough the Amazon Reviews dataset!
 - Join the PyDeequ community on [PyDeequ Slack](https://join.slack.com/t/pydeequ/shared_invite/zt-te6bntpu-yaqPy7bhiN8Lu0NxpZs47Q) to chat with the devs!