bokeh / outreach-programs

A space to coordinate outreach programs like Outreachy and Google Season of Docs.
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Katin contributions: time series analysis visualizations #20

Open fractaldatalearning opened 1 year ago

fractaldatalearning commented 1 year ago

I have begun analyzing seasonal trends in NYC green taxi ride volume and revenue by month. I would like to improve my first figure by adding a spacer/margin between the two sub-figures and adding an overarching title (i.e. “NYC Green Taxi Performance 2021"). I would also like to add a couple horizontal lines to each plot indicating the mean and median value for each.

Then, I would like to move on to compare seasonal trends across years and analyzing other variables correlated with seasonal volume by using different types of plots.

I appreciate any feedback, thank you!

Here is a Jupyter Notebook where I am creating plots.

And a folder where I will place figures.

My first figure, for more convenient access:

pavithraes commented 1 year ago

@fractaldatalearning Thanks for sharing! This satisfies the microtask, and we'll share more detailed feedback soon. :)

fractaldatalearning commented 1 year ago

Thanks <3

pavithraes commented 1 year ago

I would like to improve my first figure by adding a spacer/margin between the two sub-figures and adding an overarching title (i.e. “NYC Green Taxi Performance 2021"). I would also like to add a couple horizontal lines to each plot indicating the mean and median value for each.

Then, I would like to move on to compare seasonal trends across years and analyzing other variables correlated with seasonal volume by using different types of plots.

@fractaldatalearning Thanks for sharing your work, your notebook looks really good so far! Let us know if you'd like a review when you're done with the above updates. :)

fractaldatalearning commented 1 year ago

@pavithraes thanks for the feedback! I have created several more plots, and the process has really helped me become more fluent with bokeh. Here again is a link to my notebook containing comments outlining the process I went through to create more complex plots and derive more interesting insights from the data.

I’d appreciate any feedback on how to improve code or documentation clarity or plot functionality.

Since the visuals don’t show up in the notebook once pushed to github, and it seems they’re also not loading in comments here, I placed a link to a screenshot of each figure I made below where it would be showing up in the notebook.