01 Snippet

# Source URL: https://dev.epicgames.com/community/snippets/pgxg/fortnite-data-science-and-analytics-for-verse-v2
# Local doc:  epic-docs/community/snippets/pgxg/fortnite-data-science-and-analytics-for-verse-v2.md
  # DSAV (Data Science & Analytics for Verse) module
  DSAV<public> := module:
  # NOTE: Project DSAV uses the Matrices module made by @topo-ology. This required module can be found here:
  # https://dev.epicgames.com/community/snippets/bO9r/fortnite-matrices
  using { Matrices }
  using { /UnrealEngine.com/Temporary/SpatialMath }
  using { /Verse.org/Random }
  <# DATA CLEANING #>
  # Returns true if the given array contains a missing value, meaning either NaN or unset optional entries.
  (Column:[]?float).HasNA<public>()<transacts>:logic=
  var Result : logic = false
  for (Index := 0..Column.Length - 1):
  if (FilledEntry := Column[Index]?):
  if (FilledEntry = NaN):
  set Result = true
  else:
  set Result = true
  Result
  # Returns true if the given matrix contains a NaN entry.
  (InMatrix:Matrix).HasNA<public>()<transacts>:logic=
  var Result : logic = false
  for (Row := 0..InMatrix.Rows - 1):
  for (Col := 0..InMatrix.Cols - 1):
  if (Entry := InMatrix.Rep[Row][Col], Entry = NaN):
  set Result = true
  Result
  # Returns the input matrix without duplicated rows (if any), maintaining the first row of any duplicates.
  (InMatrix:Matrix).DropDuplicates<public>()<transacts>:Matrix =