import csv
import pandas as pd 
import plotly.figure_factory as ff
import random
import statistics

df=pd.read_csv('IceCreamShop.csv')
data=df['Temperature'].tolist()

#fig=ff.create_distplot([data],['temperature'],show_hist=False)
#fig.show()


temp=statistics.mean(data)

#print(temp)

temp1=statistics.mode(data)

#print(temp1)

temp2=statistics.median(data)

#print(temp2)

temp3=statistics.stdev(data)

#print(temp3)

data_set=[]
for i in range(0,10):
    random_index=random.randint(0,len(data))
    value=data[random_index]
    data_set.append(float(value))

mean=statistics.mean(data_set)
print(mean)


stdev=statistics.stdev(data_set)
print(stdev)



5bec0fbd72dbed44846886064356cd4049a664c0
<mask token>

<mask token>
for i in range(0, 10):
    random_index = random.randint(0, len(data))
    value = data[random_index]
    data_set.append(float(value))
<mask token>
print(mean)
<mask token>
print(stdev)

<mask token>
df = pd.read_csv('IceCreamShop.csv')
data = df['Temperature'].tolist()
temp = statistics.mean(data)
temp1 = statistics.mode(data)
temp2 = statistics.median(data)
temp3 = statistics.stdev(data)
data_set = []
for i in range(0, 10):
    random_index = random.randint(0, len(data))
    value = data[random_index]
    data_set.append(float(value))
mean = statistics.mean(data_set)
print(mean)
stdev = statistics.stdev(data_set)
print(stdev)

import csv
import pandas as pd
import plotly.figure_factory as ff
import random
import statistics
df = pd.read_csv('IceCreamShop.csv')
data = df['Temperature'].tolist()
temp = statistics.mean(data)
temp1 = statistics.mode(data)
temp2 = statistics.median(data)
temp3 = statistics.stdev(data)
data_set = []
for i in range(0, 10):
    random_index = random.randint(0, len(data))
    value = data[random_index]
    data_set.append(float(value))
mean = statistics.mean(data_set)
print(mean)
stdev = statistics.stdev(data_set)
print(stdev)

import csv
import pandas as pd 
import plotly.figure_factory as ff
import random
import statistics

df=pd.read_csv('IceCreamShop.csv')
data=df['Temperature'].tolist()

#fig=ff.create_distplot([data],['temperature'],show_hist=False)
#fig.show()


temp=statistics.mean(data)

#print(temp)

temp1=statistics.mode(data)

#print(temp1)

temp2=statistics.median(data)

#print(temp2)

temp3=statistics.stdev(data)

#print(temp3)

data_set=[]
for i in range(0,10):
    random_index=random.randint(0,len(data))
    value=data[random_index]
    data_set.append(float(value))

mean=statistics.mean(data_set)
print(mean)


stdev=statistics.stdev(data_set)
print(stdev)


