Another Wednesday, another Just KNIME It! challenge!
Everybody loves pizza, but how about pizza with pineapple slices? Or with marshmallow? Let’s dive into the world of pizza with a data challenge this week, and discover which toppings are the most unusual. Buon appetito!
Here is the challenge. Let’s use this thread to post our solutions to it, which should be uploaded to your public KNIME Hub spaces with tag JKISeason3-26 .
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Challenge was really to get the logic right to create all pairs of ingredients (i.e. I interpreted as pair = combination of any two Ingredients) amd also to make sure that pair x,y is treated as pair y,x…
Keen to see if this can be solved more efficiently than the route I went for…
I tried to make it as short as possible. So here is my way to go:
Technically, the “Sorter” and the “Row Filter” node could also be taken out, they are there for reading comfort only. Opening the last node and sort it manually would lead to the same result, only starting with an empty cell and 0 ingredients.
I counted the number of ingredients that were detected only once, as indicated in the “unique_ingredients_count” column. In the table view, unique Ingredients were highlighted in yellow.
Hi all,
I used the association rule learner node to get frequent item sets. The left table shows popular ingredients, and the right one lists rare ones. Mozzarella is popular, while artichokes and avocado are rare. With combinations of three ingredients, Mozzarella, Pepperoni, and Tomato Sauce form the ‘golden trio.’ The Loop Special stands out due to three rare ingredients (Giardiniera, Italian beef, and Mozzarella sticks), as shown in the heatmap of the ingredient frequencies.
I just twisted a little on the methodology and asked AI, what is the most uncommon ingredient (of course I did the analysis regarding the data as well).
Hi all,
Beginner here - this is my solution to the challenge after a lot of discussion with K-AI. I hope it’s uploaded correctly, otherwise let me know.