šŸ“£ Holiday Season App Challenge - NYC MTA

Dash Python
44

Hi @adamschroeder
I completed a Maven Analytics course about creating interactive dashboards in plotly and dash. This course fired my interest in writing dashboard with Plotly and Dash. I build this report using Plotly and Dash and would like to submit this as my entry into the challenge. I had great fun building this and I learned so much writing it .

The link to the live app is: [https://andrewhubb.pythonanywhere.com/](https://MTA Ridership Dashboard)
You can find the code and the Jupyter Notebook I originally used to create the report in my GitHub Repository MTA Ridership Dashboard GitHub Repository

1 Like
45

Hi,

I saw that competition a bit late, here is my contribution :
https://ramzy22.pythonanywhere.com/

I will try to post the github tonight when I am home.

Enjoy :slight_smile:

1 Like
46

I have finally deployed my MTA challenge Plotly Dash on Pythonanywhere. Here is the link for exploration : https://tiga.pythonanywhere.com/

Thank you @adamschroeder and Plotly Team for presenting this challenge. Adam Youtube video on sharing data between callback functions using dcc.Store, helped me a lot.

My linkedIn profile is https://www.linkedin.com/in/tiga-sawadogo-8b65ab19a/ , for those who want to connect there.

Tiga

1 Like
47

Thank you everyone for submitting these awesome Dash apps.

The challenge is officially closed. In the next couple of weeks, a group of app judges from Plotly will review the apps.

Final results will be posted here once the judging is complete in a few weeks.

48

Hello every one!

I know, too lateā€¦
But Iā€™m happy to share with you my app :tada:

The project consists of three primary components:

  1. Key Figures: Analyzes daily (both weekdays and weekends) and monthly ridership averages over the specified period.
  2. Data Aggregation: Offers extensive customization options for data aggregation.
  3. Ridership Prediction: Uses ARIMA models for ridership forecasting and evaluate the models with backtesting on 10 folds.

Additionally, the application is fully responsive and supports 26 themes, including light and dark mode variants.

Here is the link to the deployed app :rocket: to enjoy the freedom of your own exploration :mag_right:

Btw, itā€™s deployed on a home made Kubernetes cluster hosted on 3 Raspberry pi :sunglasses:

You can find the code in this Repo.

6 Likes
49

This is one of the most comprehensive and sophisticated Dash apps Iā€™ve ever seen. Thank you, @Skiks

image
image1906Ɨ945 256 KB

4 Likes
50

@Skiks Your app is amazing! Do you mind if I ask what platform you used to deploy it?

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51

Thanks @johnkangw !
Sure! itā€™s deployed on my own home made platform :grin:
I use Kubernetes on a cluster of 3 raspberry piā€¦ at home
With all the infrastructure I need, with CI/CD, to deploy my apps with a simple push to GitHub :muscle:

52

Oh wow, super nice!

53

Hi, @AlonsoValdes checking for inspiration, I saw that your app is not loadingā€¦ Maybe you have to check what is going on thereā€¦ bye!

54

Thank you for the heads-up! The app is now working. Iā€™ve had quite a few issues with the deployment on AWS since Iā€™m still learning how to use it. Due to excessive CPU usage, the Docker container stopped running. To prevent this, Iā€™ve implemented caching for filters and data loading to avoid repetitive calculations.

You can check it out nowā€”thank you so much!

55

Thank you guys for all the apps, I did my own but I am still at the beginner stage so didnā€™t submit it. I will try to learn from all the examples and hope to participate and submit in future challenges.
Happy Holidays!

2 Likes
56

@om-gis I know how scary it is or can be to submit something on a platform or share your code. My advice, just do it, even if you just started and put all the work in it, thatā€™s how I started too, actually thatā€™s how we probably all started. And after all, whatā€™s the worst that can happen. Studying work from others is also a great learning source.

3 Likes
57

@om-gis totally agree with @marieanne ! put things out thereā€¦ itā€™s a lovely community and never a contest with the weekly challengesā€¦ the only one to impress is yourself :wink:

2 Likes
58

:tada: :tada: Congratulations! Youā€™ve been selected winner by Plotly! Guau! Buenisimo!!

1 Like
59

Just to clarify @JuanG 's congratulatory comment, I believe @AlonsoValdes 's app was selected the winner under the Plotly category on Maven Analytics.

The top three winners of this Plotly Challenge will be announced here next week.

60

The post & link to video (gosh what a url): Maven Analytics on LinkedIn: MavenCommuterChallengeWinners | 15 comments

2 Likes
61

Thanks for the clarification @adamschroeder ! I figured the list of winners might differ between platforms. :smile: There are really interesting projects!

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62

Congratulations @AlonsoValdes !

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63

Congrats @AlonsoValdes ! Nice layout :smiley: