Data Wrangling with Python by Jacqueline Kazil & Katharine Jarmul

Author:Jacqueline Kazil & Katharine Jarmul
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2015-09-28T04:00:00+00:00

If you can cast light on the topic and point out the need for more documentation, research, and action in order to draw complete conclusions, that is an important message itself. As we found with our investigation, it’s hard to say if government corruption causes high child labor rates, but we can say there is a weak correlation between the two, and we’d like to research and analyze the way they are linked—particularly in certain African nations.

Documenting Your Conclusions

Once you’ve found some conclusions and more questions you’d like to research, you should begin documenting your work. As part of your documentation and final presentation, you should be clear about what sources you used and how many data points you analyzed. In our subset, we investigated only ~90 data points, but they represented the segment we wanted to study.

You may find the dataset you focus on is smaller than anticipated. As long as you are clear about your methods and the reasons for the smaller subset, you will not lead your audience or reporting astray. In the next chapter, we’ll dive deeper into reporting our findings, documenting our thoughts and processes as we share our conclusions with the world.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.