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Challenge #491: Behind the Blockbusters

apmessner
Meteor

Here's my solution...My solution matched for parts 1 and 2, but I used the spoken_languages field for part 3 and ended up getting many more languages than were in the solution.

Kenda
16 - Nebula
16 - Nebula
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AlteryxUser1
Asteroid
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I looked at step 3 using Alteryx and then separately in Python and I would say the amount of languages should be 86. I was able to map out a lot of the 2 letter abbreviations from the iso_639_1 a list from this website: ISO 639-2 Language Code List - Codes for the representation of names of languages (Library of Congre...

Qiu
21 - Polaris
21 - Polaris

@olga_strubbe 
Thank you for agreeing with me. 😂
You mentioned that you get 80 only and I was wondering why.

Spoiler

After looking at your flow, I found that the difference was caused by enabling AMP engine in your flow, then resulted not all records in "tmdb_5000_movies" were pulled in.

After disabling AMP engine, we have the same results of 87.

NatSnook
Asteroid

Thank goodness I was not alone in struggling with task 3 

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EKasminsky
Comet

I got 86 for question 3. I gotta work on my regex skills!

SteveY02
Asteroid

Task 1: The  reference didn't consider the situation where total budgt are the same, however, the are more than one movie with the same budgt.

Task 2: Same as reference answer.

 

Task 3: Different from reference answer. 

AkimasaKajitani
17 - Castor
17 - Castor

My solution!

 

The output for Task 3 differs from the given answer.

 

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Bobbyt23
Pulsar

Not sure about the last question.

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Flo_P
Comet

I count 86 iso language codes, not sure how you get to 27.

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