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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.
- 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.
My Attempt at plotting in the Interactive Chart Tool
(a bit messi, but can clean it up later)
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.
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!
@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.