Hi All,
As many others have done, I have created a Jupyter notebook analyzing the CIA Factbook data. I look forward to any feedback/comments you may have about whether you liked it and/or if you have suggestions to make it better!
Here is the link to the mission: CIA Factbook - Guided Project DataQuest Link
Here is a copy of the Jupyter notebook: Guided Project_ Analyzing CIA Factbook Data Using SQL.ipynb (35.0 KB) and the images used: img.zip (766.7 KB)
Here’s a link to my GitHub repository: CIA Factbook GitHub Repo
Here’s a PDF of the notebook as well that reflects the images I added via markdown (I couldn’t get the images to show properly): Guided Project_ Analyzing CIA Factbook Data Using SQL - Jupyter Notebook.pdf (971.8 KB)
Thanks everyone!
Click here to view the jupyter notebook file in a new tab
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Hello @riffology! Thanks for sharing:)
Here is some feedback:
- First off, why do you have a code block to install conda? It’s not neccessary for the project.
- Why did you copy everything from the DQ, especially Jupyter notebook explanations. Try to use your own words whenever possible and don’t just copy everything from DQ. At a real job, we have no place to copy from.
- As far as I see you left no comments on the data you extracted and just copied everything (at least at the beginning).
- Most of your cells do not have the same style. You can corret your code style by reading these guidelines.
Overall, I would reccomend you two main things:
- Do not blindly copy everything from DQ (and other guides). At least try to rephrase what they say in your own worlds.
- Comment your findings. What did you expect? What did you find? Is it worth mentioning?
Happy coding;)
Appreciate the feedback. I originally had the DQ code in there so I could code on Jupyter without having to go back and forth between the website and my code. I do agree with your statement on doing more and I will go back and redo this
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