Thanks! So for both Iām using openai == 0.28 which makes use of gpt-3.5-turbo.
I might refine the query by December 1st but I thought it was a creative addition.
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Iām going to study your code. Lots of improvements I see for my code and also some other interesting repoās to see how things should be done. Thank you.
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Hi Adam,
Here is my submission for MTA ridership challenge by Maven Analytics.
The Dash Plotly Weblink
The Github Link.
Thanks and let me know if anything is not working.
Regards,
Mona
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Thank you @Mona_S for participating in the challenge. Good idea adding that summary paragraph at the beginning.
Welcome to the Plotly Community . Hope to see some of your graphs in the figure-friday initiative as well 
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I am glad that you liked itā¦ will definitely put my hands on the figure-Friday.
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Very pleased to submit my humble app.
Thank you @adamschroeder for your support to this whole community.
Code in Github JuanG.
App in JuanGerman2024 Pythonanywhere.
There is always room for improvementsā¦
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Hi @marieanne
Congrats on submitting your Dash app for this challenge!
If you have any questions about any of the apps I have on Github please let me know. Iād be happy to help.
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Hi there,
I would also like to contribute to this nice challenge with my app that you can find here:
App: https://holiday-app.nflaschel.de/
Code: GitHub - nils-fl/HolidayAppChallenge
Home:
- There are some time series info as cards and scatter subplot on the first page.
Now & Then
- A comparison of pre- and post-pandemic ridership
- Text is dynamically generated with a LLM API
Forecast
- Two models forecasting the last 60 days of the dataset
- Models are in the code but the predictions were saved to the repo because my machine run out of memory during training
- First model is CES using the great Nixtla library
- Second model is Chronos by Amazon using the great sktime library
- Itās just a simple showcase, not intended to be a sophisticated forecasting project
Had a lot of fun, as always
Cheers
Nils
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A beautiful multi-page Dash app, @nilsfl . Thanks for the submission 
Hi @adamschroeder!
this is my sumbission for MTA Dashboard Challenge.
Interactive Dash:Dash app
GitHubGist
This is my first try at Plotly App, it was an interesting challenge, thank you.
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Hi Everyone 1st time participing in this type of challenge,
Here goes my MTA Dashboard, I designed to provide a granular view of public transport trends by integrating various data visualization (area, line) and interaction components.
GITHUB
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Thank you @Ester. I love the black background and the colors you chose for the buttons. Cool line chart as well.
Itās hard to believe this is your first time
And welcome to the community. Weāre happy to have you with us.
welcome to the community, @Avacsiglo21 . This is a great place for our first post
Nice usage of the datepicker and the radio buttons.
Did the data surprise you once you looked at the graphs you built?
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I knew HTML and CSS so far, in Python AI helped a little. Now Iām looking for a course on Plotly Dash, it could be incredibly fun to use.
Try this 6-session tutorial we have on the Plotly YouTube channel. I think youāll like it, although it is built for beginners, so some of the content, you might already know.
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Hi everyone!
This is my first post on the Dash community forum. Over the past year, Iāve been working extensively with Dash and have found it to be an incredibly flexible and powerful tool for creating web-based visualizations. Iām happy to share my submission for the MTA Ridership Challenge!
The app is built almost entirely with Dash and Plotly elements, with a couple of p5.js sketches for the background and the train animations, as well as custom CSS for styling.
Feel free to check it out and let me know your thoughts:
GitHub: GitHub - Alonsomar/challenge_mta_ridership: Data visualization for Maven Commuter Challenge
Live App: https://mtachallenge.alonsovaldes.com/
Looking forward to your feedback!
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What surprised me is that the main modes of transport have still taken a long time to recover 100%.
Hi @adamschroeder and everyone,
Weāre close to the deadline, so I thought itās time to stop overthinking and share what Iāve built. Hereās the link to my app and GitHub:
Thank you so much for this opportunity. This challenge gave me the motivation to finally dive into Plotly and Dash, something Iāve wanted to learn for a long time. Iām incredibly grateful for the experience, and whish you all the best,
Best,
Sajjad
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Hello everyone! 
Hereās my submission for the NYC MTA Challenge.
Dashboard: https://mta-dash.apps.taruma.info/
Source: GitHub - taruma/MTA-dash: An interactive Dash-based visualization tool that tracks NYC's MTA ridership trends and recovery patterns across multiple transit modes with AI-powered insights.
The app is quite simple, as I spent a good amount of time tinkering with dash mantine components and Plotly again 
. I also tried to add an LLM feature to generate insights from the graphs displayed on the dashboard.
I will continue to develop this application further because thereās still a lot I want to try and experiment with.
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Hello @adamschroeder
Big fan of Plotly and have been using it i since I started full-time work and data science. Iāve probably seen your posts show up countless times while looking up solutions!
Hereās my submission for the challenge.
It was highly inspired by a New York Times article which had a graph I found memorable. The overall dashboard is relatively simple but hopefully it gets the point across.
Really thankful for this opportunity as it finally got me exploring other web application frameworks and deployment methods.
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