emjun

# Idea: Make each statistical test its own class with an execute and visualization function
# For example: 

class Students_T():
  def execute(dataset, design, predictions, combined_data: CombinedData): 
    # perform statistical test
    pass
  def visualize():
    # add visualization code 
    pass

emjun

# Goal: Provide a more OOP API that enables end-users to have multiple analyses simultaneously

# Current V0 API
    variables = [
        {"name": "Var0", "data type": "interval"}
        {"name": "Var1", "data type": "ratio",},
    ]
    experimental_design = {
        "study type": "observational study",
        "contributor variables": "Var0",

emjun

# Declare Variables, Design, Assumptions, and Hypothesis at the time of construction
import tea 

file_path = "./datasets/UScrime.csv"
variables = [{
    'name': 'Class',
    'data type': 'ordinal',
    'categories': ['0', '1', '2']
    }, 
    {

emjun

# Declare Variables, Design, Assumptions, and Hypothesis at the time of construction
import tea 

file_path = "./datasets/UScrime.csv"
variables = [{
    'name': 'Class',
    'data type': 'ordinal',
    'categories': ['0', '1', '2']
    }, 
    {

emjun

emjun

emjun