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# Weekly Challenges

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## Challenge #347: Map Messi and Ronaldo's Goals (Part 2)

21 - Polaris

A solution to last week’s challenge can be found here.

This challenge comes to us from @Qiu  who was inspired after reading the following article: https://medium.com/analytics-vidhya/using-spatial-and-activities-data-with-python-to-understand-how-.... Thank you for your contribution!

This week, we will continue using datasets to analyze how Messi and Ronaldo do their magic.

For Part 2 of this challenge, you will:
- Use the Part_2_input dataset to create the points where Messi and Ronaldo score their goals.
- Use the FootballPitch dataset to create the Football Pitch.
- Finally, joint the two previous findings to layout the Football Pitch and the goals from Messi and Ronaldo.

Hints
- The x and y coordinates are always in the range [0, 100] there, x position shall be multiplied by 1.25 and Y by 0.85 to get actual scale.
- Give the relatively small scale of a football pitch, it is better to multiply 1000 to both x, y positions of player and football pitch for visibility.

Check out our newly rebranded Spatial course.
https://community.alteryx.com/t5/Interactive-Lessons/tkb-p/interactive-lessons/label-name/Spatial%20...

17 - Castor

My solution.

Fun challenge.

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16 - Nebula

My Attempt at plotting in the Interactive Chart Tool

(a bit messi, but can clean it up later)

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11 - Bolide

A fun one! Had to tweak some of the formulas to get the spatial info to match the original image. Spent too much time trying to fine-tune the map.

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17 - Castor

My solution to #347. Took a little bit of time to work out what Gr/SN were but a fun little challenge in the end!

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11 - Bolide

Here's my take

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somehow the positions aren't quite matching the output file yet
17 - Castor

@RWvanLeeuwen this is what I had at first based on the hint but then realised that the 1.25/0.85 multiplications only apply to the player positions, not the pitch drawing.

16 - Nebula
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9 - Comet

My solution :)

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7 - Meteor

My solution.

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