Количество NaN элементов для каждого столбца в data

data = [[Id,MSSubClass,MSZoning,LotFrontage,LotArea,Street,Alley],[1,60,RL,65,8450,Pave,NA],[2,20,RL,80,9600,Pave,NA],[3,60,RL,68,11250,Pave,NA],[4,70,RL,60,9550,Pave,NA],[5,60,RL,84,14260,Pave,NA]
 
data = pd.DataFrame(data)
 
def null_summary(data=None):
    for i in data:
        res = pd.DataFrame(data[i])
        #print(res)
        fin_data = res.isna().sum()
        return fin_data 
    
 
summary=null_summary(data=pd_data, threshold=0.10) # 10%
print(summary)

import pandas as pd
 
data = [["Id","MSSubClass","MSZoning","LotFrontage","LotArea","Street","Alley"],
        [1,60,"RL",65,8450,"Pave","NA"],
        [2,20,"RL",80,9600,"Pave","NA"],
        [3,60,"RL",68,11250,"Pave","NA"],
        [4,70,"RL",60,9550,"Pave","NA"],
        [5,60,"RL",84,14260,"Pave","NA"]]
 
data = pd.DataFrame(data[1:],columns=data[0])
print(data)
 
 
def null_summary(data=None):
    df = pd.DataFrame((data[data!=data].sum(0)/len(data)).T, columns=['counts'])
    df.counts = df.counts.map(lambda x: f'{x:.0%}')
    return df
 
 
summary = null_summary(data)
print(summary)

...f'{x:.0f}'...