[Kaggle] Data Cleaning 데이터 정제

1. Handling Missing Values Missing Value 처리하기 Drop missing values, or fill them in with an automated workflow. # modules we'll use import pandas as pd import numpy as np # read in all our data nfl_data = pd.read_csv("../input/nflplaybyplay2009to2016/NFL Play by Play 2009-2017 (v4).csv") # set seed for reproducibility np.random.seed(0) # get the number of missing data points per column missing_va..