2022: Week 37 - Elden Ring Adventure

Challenge by: Will Sutton

It's time for another collaboration with #GamesNightViz!

Over the last few months, the #GamesNightViz team have been playing Elden Ring which has inspired this challenge. We’re looking for the highest damaging weapons we can use throughout our playthrough. Using data tables from https://eldenring.wiki.fextralife.com/Weapons we have the base stats for all the melee weapons however, it’s a little messy! 

The goal is to create an output of the highest damaging weapon by its required level.

Input

A rather wide dataset! Don't worry, it'll be explained in the requirements which fields we need and what the values mean.


Requirements

  • Load the dataset - updated 14/09
  • Split the dataset into two tables
    • Damage Stats: 1 containing: Name, Category, Phy, Mag, Fire, Ligh, Holy
    • Level Requirements: 1 containing: Name, Str, Dex, Int, Fai, Arc
  • For Damage Stats, if you look at the data in Phy, Mag, Fire, Ligh, Holy:
    • the first value shows the attack damage 
    • the second value shows the damage resistance
    • A dash “-” means 0, i.e. no damage 
  • For Level Requirements, for Str, Dex, Int, Fai, Arc:
    • the first value shows the level required
    • the second value shows the weapon scaling rating
    • A dash “-” means 0, i.e. no requirement or scaling 
  • Pivot the two datasets:
    • For Damage Stats,1 column containing Phy, Mag, Fire, Ligh, Holy and 1 for the values
    • For Level Requirements,1 column containing Str, Dex, Int, Fai, Arc and 1 for the values
  • Split the pivot values into 2 columns for both tables:
    • For Damage Stats label the first column “Attack Damage”, and the second “Damage Resistance”
    • For Level Requirements label the first column “Required Level”, and the second “Attribute Scaling” 
  • Replace the “-” values with zero in the columns: “Attack Damage”, “Damage Resistance”, “Required Level” and change the datatype to whole numbers (integer)
  • Find the total “Attack Damage” and total “Required Level” for all weapons and join the datasets together.
  • Rank the weapons by total attack damage, grouped by the total required attribute. 
  • Filter for the number 1 rank and output the data

Bonus

Following up on my Tableau Prep TUG talk, I spoke about improving prep flows by reducing the complexity and avoiding repeated steps. 

If you’ve followed the guide above you would have split the dataset into two datasets, and then performed similar data transformations to both datasets.

Can you think of a way you could avoid splitting the dataset? By doing so you’ll avoid creating duplicated calculations and a join.  

I faced a similar problem in my Iron Viz rebuild, in which I repeated calculations transformation for different streams in my Tableau Prep workflow, you can see how I removed the complexity here: https://youtu.be/fAGFYm9gWng?t=3801  

Output
  • 4 fields
    • Name
    • Category
    • Required Level
    • Attack Damage
  • 53 rows (54 including headers)
You can download the full output here

After you finish the challenge make sure to fill in the participation tracker, then share your solution on Twitter using #PreppinData#GamesNightViz and tagging @Datajedininja@JennyMartinDS14 & @TomProwse1@WJSutton12@StyleSTEAMed & @NicoleKlassen12

You can also post your solution on the Tableau Forum where we have a Preppin' Data community page. Post your solutions and ask questions if you need any help! 
After you finish the challenge make sure to fill in the participation tracker, then share your solution on Twitter using #PreppinData and #GamesNightViz and tagging @Datajedininja@JennyMartinDS14@TomProwse1 & @WJSutton12

You can also post your solution on the Tableau Forum where we have a Preppin' Data community page. Post your solutions and ask questions if you need any help! 



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