Question 1

1a) Using the tips dataset create a scatter plot between total_bill and tip column

In [ ]:

1b) Add the day column in the visual using color as the semantic variable

In [ ]:

1c) Comment on the insights from the visual

In [ ]:

Question 2

2a) using the mpg cars dataset create a barplot between car origins and average mpg

Assignment 2

Topics : Estimates of Location , Variability and Visualization

PROG 8510 : Programming Statistics for Business

Student Name :

Student ID :

In [1]:

import pandas as pd

import seaborn as sns

In [2]:

tips = sns.load_dataset('tips')

mpg = sns.load_dataset('mpg')

Question 1

1a) Using the tips dataset create a scatter plot between total_bill and tip column

In [ ]:

1b) Add the day column in the visual using color as the semantic variable

In [ ]:

1c) Comment on the insights from the visual

In [ ]:

Question 2

2a) using the mpg cars dataset create a barplot between car origins and average mpg

In [ ]:

Assignment 2

Topics : Estimates of Location , Variability and Visualization

PROG 8510 : Programming Statistics for Business

Student Name :

Student ID :

In [1]:

import pandas as pd

import seaborn as sns

In [2]:

tips = sns.load_dataset('tips')

mpg = sns.load_dataset('mpg')

Question 1

1a) Using the tips dataset create a scatter plot between total_bill and tip column

In [ ]:

1b) Add the day column in the visual using color as the semantic variable

In [ ]:

1c) Comment on the insights from the visual

In [ ]:

Question 2

2a) using the mpg cars dataset create a barplot between car origins and average mpg

In [ ]:

Assignment 2

Topics : Estimates of Location , Variability and Visualization

PROG 8510 : Programming Statistics for Business

Student Name :

Student ID :

In [1]:

import pandas as pd

import seaborn as sns

In [2]:

tips = sns.load_dataset('tips')

mpg = sns.load_dataset('mpg')

Question 1

1a) Using the tips dataset create a scatter plot between total_bill and tip column

In [ ]:

1b) Add the day column in the visual using color as the semantic variable

In [ ]:

1c) Comment on the insights from the visual

In [ ]:

Question 2

2a) using the mpg cars dataset create a barplot between car origins and average mpg

In [ ]:

import pandas as pd

import seaborn as sns

In [2]:

tips = sns.load_dataset('tips')

mpg = sns.load_dataset('mpg')

### Question 1 

**1a) Using the tips dataset create a scatter plot between total_bill and tip column**

In [ ]:

**1b) Add the day column in the visual using color as the semantic variable**

In [ ]:

**1c) Comment on the insights from the visual**

In [ ]: