Azaya Outreachy Contributions.

[Azaya89]

This is my initial submission for the project: Create a blog post series: "Fundamentals of Data Visualization in Bokeh" #2

I created a blog post here where I am continually updating it with more visualisations. Some feedback will be appreciated.

[Azaya89]

Here is my submission for the micro-task: "Explore NYC taxi trips dataset" #6

https://github.com/Azaya89/Bokeh-microtask

[pavithraes]

@Azaya89 Thanks for sharing! I'd like to acknowledge that this satisfies the microtasks, and we'll share more detailed feedback soon. :)

[Azaya89]

@Azaya89 Thanks for sharing! I'd like to acknowledge that this satisfies the microtasks, and we'll share more detailed feedback soon. :)

Thank you> I await the more detailed feedback.

[Azaya89]

Here is my Initial micro-task submission for the Project: Improve Bokeh's documentation using the Diátaxis framework. #1

Setting up a development environment

[Azaya89]

Here is a list of all the PRs raised for the second microtask: Work on "Add metadata to standalone examples" #5

This includes both merged and unmerged pull requests.

• Added metadata to line_on_off.py bokeh#13003
• Add metadata to image alpha bokeh#13006
• Added metadata to examples/plotting/aspect.py bokeh#13012
• 11765 maps cities bokeh#13023
• added metadata to line_select.py bokeh#13019 (Collaborated on an Identical PR instead)
• Added metadata to text.py bokeh#13000 (Declined due to an earlier PR by someone else)

[pavithraes]

@Azaya89 Thanks for your all your contributions, your NYC taxi exploration notebook looks fantastic! I think your notebook is well presented, your code is well structure and documented, and overall it's complete. ✨

I have a couple of quick thoughts

• Your pie charts in section 3 and 5 can be color-matched because they depict related data, you can also consider showing them in a single plot/layout if you'd like to
• Since you have created a new repository for your submission (I appreciate you including the dataset sample in the repo!), you can consider adding an environment.yml or requirements.txt file that list the libraries and versions you used. This is a good practice for data science projects and makes your work more reproducible.

Note that these are fully optional, and I think you have a strong submission as is. :)

I also enjoyed reading your blog post, do make sure to include it in your Outreachy application. Honestly, I don't think you need another review, please feel free to make any updates you see fit and add it to your application. I'm happy to mark your microtask completed!

[Azaya89]

Thank you very much. I have color-matched the pie charts, added an environment.yml file and also updated my README file to reflect the additions.