docs: def _get_age(columns):
      """
      Sift through table column data and find the "age" or "year" column. Return its "values" data.
      :param dict columns: Column data
      :return list age: Age values
      """
  
      # Need to check multiple places for age, year, or yrbp
      # 1. Check the column variable name
      # 2. Check for an "inferredVariableType
  
      age = []
      try:
          # Step 1:
          # Check for age first (exact match)
          if "age" in columns:
              # Save the values
              age = columns["age"]["values"]
          # Check for year second (exact match)
          elif "year" in columns:
              # Save the values
              age = columns["year"]["values"]
          elif "yrbp" in columns:
              # Save the values
              age = columns["yrbp"]["values"]
  
          # Step 2 No exact matches, check for an "inferredVariableType" : "Age" or "Year"
          if not age:
              # Loop through column variableNames
              for k, v in columns.items():
                  try:
                      if v["inferredVariableType"].lower() == "age":
                          age = v["values"]
                      elif v["inferredVariableType"].lower() == "year":
                          age = v["values"]
                  except Exception:
                      # Not too concerned if we error here.
                      pass
  
          # Step 3: No year or age found, start searching for a loose match with "age" or "year" in the variableName.
          if not age:
              # Loop through column variableNames
              for k, v in columns.items():
                  k_low = k.lower()
                  # Check for age in the variableName (loose match)
                  if "age" in k_low:
                      # Save the values
                      age = v["values"]
                  # Check for year in variableName (loose match)
                  elif "year" in k_low:
                      # Save the values
                      age = v["values"]
                  elif "yrbp" in k_low:
                      # Save the values
                      age = v["values"]
  
      # If we expected a dictionary, and didn't get one
      except AttributeError as e:
          logger_inferred_data.warn("get_age: AttributeError: {}".format(e))
      # If we were looking for values, and didn't get one
      except KeyError as e:
          logger_inferred_data.warn("get_age: KeyError: {}".format(e))
      # Fail-safe for other problems
      except Exception as e:
          logger_inferred_data.warn("get_age: Exception: {}".format(e))
  
      return age