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Q1: (10 Marks) Plot Jordan map with cities and assign the population for every city Q2: (20 Marks) There are 19 data sets under seaborn library, use any of these data set to present the following data visualization types: You have to study (know the column names of every Data set to know how to plot and visualize the Data Set) • Comparison and ranking • Correlation • Distribution • Part-to-whole relationships • Trends over time Note: you have to use most parameter for every one) Note: you can search for and use any Python library to plotting the above visualization types (for example ploty express, seaborn, etc). Don't use squarify library Don't use matplotlib The following code is for retrieve the Data set from seaborn, and to print the specification of any Data set, here is an example: import seaborn as sns x=sns.get_dataset_names() # to retrieve all Data sets y=sns.load_dataset('iris') # to load the specification of the Data set called 'iris' print(y) print(x) Note: write the Python code and submit it on BlackBoard

          Q1: (10 Marks)
Plot Jordan map with cities and assign the
population for every city
Q2: (20 Marks)
There are 19 data sets under seaborn library, use
any of these data set to present the following
data visualization types:
You have to study (know the column names of
every Data set to know how to plot and
visualize the Data Set)
• Comparison and ranking
• Correlation
• Distribution
• Part-to-whole relationships
• Trends over time
Note: you have to use most parameter for every
one)
Note: you can search for and use any Python
library to plotting the above visualization types
(for example ploty express, seaborn, etc).
Don't use squarify library
Don't use matplotlib
The following code is for retrieve the Data set
from seaborn, and to print the specification of
any Data set, here is an example:
import seaborn as sns
x=sns.get_dataset_names()  # to
retrieve all Data sets
y=sns.load_dataset('iris')  # to load
the specification of the Data set
called 'iris'
print(y)
print(x)
Note: write the Python code and submit it on
BlackBoard

Q1: (10 Marks)
Plot Jordan map with cities and assign the
population for every city
Q2: (20 Marks)
There are 19 data sets under seaborn library, use
any of these data set to present the following
data visualization types:
You have to study (know the column names of
every Data set to know how to plot and
visualize the Data Set)
• Comparison and ranking
• Correlation
• Distribution
• Part-to-whole relationships
• Trends over time
Note: you have to use most parameter for every
one)
Note: you can search for and use any Python
library to plotting the above visualization types
(for example ploty express, seaborn, etc).
Don't use squarify library
Don't use matplotlib
The following code is for retrieve the Data set
from seaborn, and to print the specification of
any Data set, here is an example:
import seaborn as sns
x=sns.getdatasetnames() # to
retrieve all Data sets
y=sns.loaddataset('iris') # to load
the specification of the Data set
called 'iris'
print(y)
print(x)
Note: write the Python code and submit it on
BlackBoard

Added by Sean S.

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