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Hi Maveryx,
A solution to last week’s challenge can be found here.
This challenge comes to us from @Sebastian_Chaieb2. Thank you for your contribution, Sebastian!
This challenge is an advanced version of our previous Weekly Challenge #365. In this iteration, we will use the same datasets to generate a report; however, this time we will incorporate LEGO model images into our report!
Distinct from its predecessor, in the app you will develop for this challenge, you will incorporate a dropdown menu, enabling users to select a LEGO collection. In addition, a list box will facilitate the choice of one or multiple release years from a list.
The following is a breakdown of the tasks that lie ahead to conquer this challenge:
1. Dataset Integration and Table Creation:
Combine the datasets to construct a comprehensive table with the following columns:
2. App Development:
Create a dropdown menu where the user can select a unique collection name:
Design a list box feature for the user to select a single year or multiple years of release:
3. Filtering and Model Selection:
4. Automated Image Retrieval:
5. Final Output and PDF Display:
Sources:
https://www.kaggle.com/datasets/rtatman/lego-database?resource=download
(last image in this set isn't being converted from a blob using the blob convert tool...)
Fun challenge!
Took a bit to configure it all right!
This was a great challenge. Reminds me of some of the tougher ones from a few years ago.