# data[].attributes.headline
ปาณิสรา data2

# data[].attributes.subject
ปาณิสรา data2

# data[].attributes.body
มหายเหตุ ใช้ipad

# data[].attributes.body
import pandas as pd
std=pd.DataFrame([[5884,2,58,158],[5885,2,60,164],[5887,1,55,150],[5889,1,46,168],[5890,2,49,153]])
std.columns=['ID','Gender','Weight','Height']
print (std)

# data[].attributes.headline
วาตระการ data2

# data[].attributes.subject
วาตระการ data2

# data[].attributes.body
url = '/content/drive/MyDrive/Colab Notebooks/data/data2.csv'

import pandas as pd

d2 = pd.read_csv(url)

print(d2)

# data[].attributes.body
url = '/content/drive/MyDrive/Colab Notebooks/data/data2.csv'

import pandas as pd

d2 = pd.read_csv(url)

print(d2)

# data[].attributes.headline
ถวานเกียรติ data 2

# data[].attributes.subject
ถวานเกียรติ data 2

# data[].attributes.headline
จิรปรียา data2

# data[].attributes.subject
จิรปรียา data2

# data[].attributes.body
url ='/content/drive/MyDrive/Colab Notebooks/data/data2.csv'

import pandas as pd

d2 = pd.read_csv(url)

print(d2)

# data[].attributes.body
import pandas as pd
std = pd.DataFrame([[5884,'2','58','158'],[5885,'2','60','164'],[5889,'1','46','168'],[5890,'49','153']])
std.columns=('Id','Gender','weght','heighi')
print(std)

# data[].attributes.body
import pandas as pd
std=pd.DataFrame([[5884,2,58,158],[5885,2,60,164],[5887,1,55,150],[5889,1,46,168],[5890,2,49,153]])
std.columns=['ID','Gender','Weight','Height']
print (std)

# data[].attributes.body
import pandas as pd

std = pd.DataFrame([[5884,'2','58','158'],[5885,'2','60','164'],[5887,'1','55','150'],[5889,'1','46','168'],[5890,'2','49','153']])

std.columns=('Id','Gender','weight','height')

print(std)

# data[].attributes.body
import pandas as pd
std=pd.DataFrame([[5884,2,58,158],[5885,2,60,164],[5887,1,55,150],[5889,1,46,168],[5890,2,49,153]])
std.columns=['ID','Gender','Weight','Height']
print (std)

# data[].attributes.body
import pandas as pd

std = pd.DataFrame([['1234','Male','71','171'],['3456','Female','61','161'],['6789','Male','74','174'],

['7890','Female','55','162'],['8901','Male','66','170']])

std.columns=['ID','Gender','Weight','Height']

print(std)

# data[].attributes.body
import pandas as pd

df = pd.read_csv('data1.csv')

df

url = '/content/drive/MyDrive/Colab Notebooks/data/data2.csv'

import pandas as pd

d2 = pd.read_csv(url)

print(d2)

# data[].attributes.body
import pandas as pd

std = pd.DataFrame([[5884,2,58,'158'],[5885,2,60,164],[5887,1,55,150],[5889,1,46,168],[5890,2,49,153]])

std.columns=('Id','Gender','weight','height')

print(std)

# data[].attributes.body
import pandas as pd

std = pd.DataFrame([[5884,2,58,158],[5885,2,60,160],[5887,2,60,162],[5889,1,46,162],[5890,2,49,153]])

std.columns = ['ID','Gender','Weight','Height']

print(std)

# data[].attributes.body
import pandas as pd

std=pd.DataFrame([[8445,1,2,3],[8446,1,2,3],[8447,1,2,3],[8448,1,2,3],[8449,1,2,3]])

std.columns=('id','gender','weight','height')

print(std)
url2= https://drive.google.com/file/d/1yqzPfjG2NU1gFr-egxXUNo6CUP_7n0gl/view?usp=sharing

import pandas as pd

sci1=pd.read_csv(url2)

print(sci1)