How to access, download, and analyze data for S3 usage

In this learning path, you will start your Jupyter notebook server and select preferences for S3 usage. You will also learn how to access and download the data you create as well as analyze it, using a variety of skills and tools.

Analyzing your S3 data access run results

The Run results and your new csv file

Double-click the newtruckdata.csv file.  File contents should appear as shown in Figure 13.

The .csv file contents when you click on the run results.
Figure 13. The .csv file contents.

 

When you execute the cells in the SimpleCalc.ipynb Python file, you will see printed results like the ones shown in Figure 14.

The observations from executing cells in SimpleCalc.ipynb.
Figure 14. The results from executing cells in SimpleCalc.ipynb.

 

Success! You have added analyzed your run results using Red Hat OpenShift Data Science.

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