freshness_c51

Author: dagiro

articles/hdinsight/spark/apache-spark-machine-learning-mllib-ipython.md

@@ -175,7 +175,7 @@ Let's start to get a sense of what the dataset contains.
 
     ![SQL query output](./media/apache-spark-machine-learning-mllib-ipython/spark-machine-learning-query-output.png "SQL query output")
 
-3. You can also use [Matplotlib](https://en.wikipedia.org/wiki/Matplotlib), a library used to construct visualization of data, to create a plot. Because the plot must be created from the locally persisted **countResultsdf** dataframe, the code snippet must begin with the `%%local` magic. This action ensures that the code is run locally on the Jupyter server.
+3. You can also use Matplotlib, a library used to construct visualization of data, to create a plot. Because the plot must be created from the locally persisted **countResultsdf** dataframe, the code snippet must begin with the `%%local` magic. This action ensures that the code is run locally on the Jupyter server.
 
     ```PySpark
     %%local