audhiaprilliant

# ---------- Law of Large Number ----------
# Install packages
install.packages('ggplot2')
library(ggplot2)
# Parameters
sample_mean = 100000
sample_size = 20
set.seed(1234)

# Uniform Distribution

audhiaprilliant

# Import module for data manipulation
import pandas as pd
# Import module for linear algebra
import numpy as np
# Import module for directory
import os
import sys
# Import module fo regular expression
import re
# Import module for network analysis

audhiaprilliant

def irisDataClassification():
    # Import modules
    from sklearn import datasets
    from sklearn.model_selection import train_test_split
    from sklearn.linear_model import LogisticRegression
    from sklearn.metrics import accuracy_score

    # Import some data to play with
    iris = datasets.load_iris()
    X, y = iris.data, iris.target

audhiaprilliant

# Check length of ID
def checkLength(ID):
    length = len(str(ID))
    # check length
    status = False
    if length == 16:
        status = True
    return (status, length)

audhiaprilliant

# Check DOB
def checkDOB(ID):
    dob = str(ID)[6:12]
    dob_person = int(dob)
    # Check the woman's dob
    if dob_person > 400000:
        dob_person = dob_person - 400000
    # Convert into datetime
    try:
        dob_date = datetime.strptime(str(dob_person), '%d%m%y')

audhiaprilliant

# Check gender
def checkGender(ID):
    gender = str(ID)[6:7]
    # Check status
    status = False
    sex = None
    if int(gender) in range(8):
        if int(gender) in range(4):
            sex = 'Man'
        else:

audhiaprilliant

# Check computerized last number
def checkComputerizedLastNumber(ID):
    last_num = str(ID)[12:]
    # Check last number
    status = False
    if status != '0000':
        status = True
    return (status, last_num)

audhiaprilliant

def checkAdminArea(ID, data):
    admin_code = str(ID)[:6]
    # Check the admin area
    status = False
    prov, district, subdistrict = None, None, None
    bin_status = binary_search(a = data['code'], x = admin_code)
    if bin_status:
        status = True
        # Get the values
        prov, district, subdistrict = df[df['code'] == admin_code].values.tolist()[0][1:]

audhiaprilliant

class identificationID:
    def __init__(self, ID):
        self.ID = ID
    # Get value
    def get_value(self):
        return str(self.ID)
    # Check length of ID
    def checkLength(self):
        length = len(str(self.ID))
        # check length

audhiaprilliant