Another possible API design for V1

proposal1_tea_api_v1.py

# 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']
    }, 
    {
    'name': 'Score',
    'data type': 'numeric'
    }]
design = {
    'study type': 'experiment', 
    'independent variable': 'Class',
    'dependent variable': 'Score'
}
# No Assumptions (Assumptions are optional)

# OPTION 1: Declare Tea object all at once
tea_obj = tea.Tea(variables, design, hypothesis="Score~Class", file_path) # order could be changed

# OPTION 2: Add Variables, Design, Assumptions, and Hypotheses incrementally
tea_obj = tea.Tea() 
tea_obj.load_data(file_path) # Data must be associated with a Tea obj
tea_obj.define_variables(variables)
tea_obj.define_study_design(design, variables)
results = tea_obj.hypothesize("Score~Class")
print(results) # could pretty print, visualize, etc.