使用javascript从数据集中获取虚拟对象

Question

我已经下载了心脏病数据库。但是，某些值，例如"restecg"和"cp"具有多个可能的值。我想将这些值分为值0或1的自己的列，然后对它们执行逻辑回归。通常，在python中，我会这样做

import pandas as pd
import numpy as np
from sklearn import preprocessing
from sklearn.linear_model import LogisticRegression
from sklearn.cross_validation import train_test_split

data = pd.read_csv('bank.csv', header = 0)
data = data.dropna()
dataRefactored = pd.get_dummies(data, columns=['...']) #Collumns I want to get dummies for
X_train, X_test, Y_train, Y_test = train_test_split(X, Y)
classifier = LogisticRegression()
classifier.fit(X_train, Y_train)

如果输入是：

Slope
  1
  3
  2
  1

输出为：

Slope_1 Slope_2 Slope_3
   1      0       0
   0      0       1
   0      1       0
   1      0       0

我该如何在JS中复制它？