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refine part3
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[email protected] authored and [email protected] committed Dec 7, 2024
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3 changes: 1 addition & 2 deletions README.md
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<!-- ## Final project -->
<!-- Here it might be helpful to include a high-level description of your final project. -->
**Final Project:**

[Part I](./finalProject/part1.md)

[Part II](./finalProject/part2.md)

<!--Part III(final-project-part-three)-->
[Part III](./finalProject/part3.md)
7 changes: 2 additions & 5 deletions finalProject/part3.md
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[Shorthand](https://carnegiemellon.shorthandstories.com/a-guide-to-choose-your-next-coffee-bean/index.html)


# Changes made since Part II

One big feedback I got from user testings was that the legends were unclear, and there were a lot of data. To remedy that, I added legends and selected only a few coffee beans to reduce clutter and information overload.
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## References
> You should have already included detailed references on your Shorthand story - if so, you can probably skip this section. Use this section to capture any additional special notes or information necessary. If you do this, you probably want to include a link from Shorthand to this page. Make sure to double-check that you aren't using copyright material and that you have added / updated any citations or other content that you used to create your data story. Make sure you have cited external sources correctly.

Text here!
I have cited references on the bottom of the [Shorthand page](https://carnegiemellon.shorthandstories.com/a-guide-to-choose-your-next-coffee-bean/index.html).

# Final thoughts
> You can summarize any final thoughts / reflections that don't fit well in the previous sections here. How did it go? What did you run out of time for, or wish you had a chance to revisit? What were you most excited about? Include any final reflections as you think they might help us understand your process. If you already included such reflections elsewhere, you can delete this section.

I had a lot of trouble finding good data for my purposes, and eventually I decided to just give up on finding data, and trying to make my limited analysis as good as they could be. In the future, perhaps I should find interesting dataset first before commiting to an idea.

(Also, I had a really rough Wednesday and Thursday because of some personal issue. My presentation was way below satisfactory. It is on me :c )
Also, I had a really rough Wednesday and Thursday because of some personal issue. My presentation was way below satisfactory. That is on me :c

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