0 import libraries import pandas as pd import numpy as np import matplotlib pylab as plt import seaborn as sns 1 load the data set 2 show data dimensions ( 1 3 6 4 , 4 1 ) 3 show column names Index ( ' country ' , 'location name', 'latitu de ' , 'longitude', 'timezone', 'last updated epoch', 'last update d ' , 'temperature celsius' , 'temperature fahrenheit', 'conditio n text', 'wind mph ' , 'wind kph ' , 'wind degree', 'wind direction', ' p ressure mb ' , 'pressure in ' , 'precip mm ' , 'precip in ' , 'humidit y ' , 'cloud', 'feels like celsius', 'feels like fahrenheit', 'visibilit y km ' , 'visibility miles', ' uv index', 'gust mph ' , 'gust kph ' , 'air quality Carbon Monoxide' , 'air quality ozone' , 'air quality N itrogen dioxide' , 'air quality Sulphur dioxide', 'air quality PM 2 5 ' , 'air quality PM 1 0 ' , 'air quality us epa index', 'air qu ality gb defra index' , 'sunrise', 'sunset', 'moonrise', 'moonset', ' m oon phase', 'moon illumination' , dtype 'object ' ) 4 show columns data types

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Question: # 0 . import libraries import pandas as pd import numpy as np import matplotlib.pylab as plt import seaborn as sns # 1 . load

0 .

import libraries

import pandas as pd

import numpy as np

import matplotlib.pylab as plt

import seaborn as sns

1 .

load the data set

2 .

show data dimensions

(1364, 41)

3 .

show column names.

Index

(['

country

',

'location

_

name', 'latitu de

',

'longitude', 'timezone',

'last

_

updated

_

epoch', 'last

_

update d

',

'temperature

_

celsius'

,

'temperature

_

fahrenheit', 'conditio n

_

text', 'wind

_

mph

',

'wind

_

kph

',

'wind

_

degree', 'wind

_

direction',

'

p ressure

_

',

'pressure

_

',

'precip

_

',

'precip

_

',

'humidit y

',

'cloud', 'feels

_

_

celsius', 'feels

_

_

fahrenheit', 'visibilit y

_

',

'visibility

_

miles',

'

_

index', 'gust

_

mph

',

'gust

_

kph

',

'air

_

quality

_

Carbon

_

Monoxide'

,

'air

_

quality

_

ozone'

,

'air

_

quality

_

N itrogen

_

dioxide'

,

'air

_

quality

_

Sulphur

_

dioxide', 'air

_

quality

_

2.5',

'air

_

quality

_

10',

'air

_

quality

_

-

epa

-

index', 'air

_

qu ality

_

-

defra

-

index'

,

'sunrise',

'sunset', 'moonrise', 'moonset',

'

m oon

_

phase', 'moon

_

illumination'

],

dtype

=

'object

')

4 .

show columns data types

# 0. import libraries import pandas as pd import numpy as

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