This presentation slide about credit card default Dataset analysis and Visualization. The data source is uci Machin learning repository.

1. BANGLADESH
UNIVERSITY
Credit Card Clients Default Visualization

2. COURSE NAME: COMPUTER GRAPHICS LAB
COURSE CODE: CSE-4203
Group Members
Name ID
Merajul Islamsajeeb 201721048021
Shrabony Mahmudmim 201721048016
Course Instructor: ANIK DASS
Designation: Lecturer Department of CSE Bangladesh University

3. OBJECTIVE
Introduction
Aims & Contribution
Method
Reference
Conclusion
What we will
Learn in Today’s
presentation ?

4. INTRODUCTION
ECOLOGICAL
ANALYSIS
 What is Credit Card Default ?
 How Credit Card Default Happens?
 Why Default Analysis important?
Dealing With Credit Card Default

5. Aims and Contribution
DATA EXPLORATION:
 Data Source: UCI Machine learning Repository.
 Kaggel.
 Import Dataset And Transform meaning Data.
 provide any banking organizations to find a simple and an
effective predictive model for the banks to determine if their
customers could make the credit card payments on-time.
 Determine Average Defaults Ratio.
 Average Pay amount.
 Average Bill amount. Visualization Software Used:
 Microsoft Power BI
Visual Analysis Graph List:
 Stack Column Chart
 Line Chart
 Geographical Chart
 Stack Area chart
 Word Cloud Chart.

6. Methods
 Data preprocessing.
 Collect a Dataset from UCI machine
learning Repository.
 Import Data set to Power BI.
 Transform data set.
 Fixing the column name.
 Adding Geographical state Column.
 Determine Default Rate by attributes.

7. Expected Outcome
Defaulted by Education Level and gender in
Column chart:
In this Column Chart visualization we
can say that:
1. Graduate Female Default rate almost
1922 and male 1403.
2. Postgraduate female default rate 1130
and male 903.
3. High School female default rate 692
and male 545.
4. Unknown female default rate 19 and
male 14.
Overall decision: Graduate Female
women's Credit card Default is
maximum.

8. Expected Outcome
Defaulted by age and gender in Line
chart:
In this Line Chart visualization we
can say that:
1. 20-29 age rang female high
default rate age 27 = 201 and
male age 29=128.
2. 30-39 age rang female high
default rate age 36=134 and
male age 36=120.
3. 40-59 age rang female high
default rate age 42 = 107 and
male age 41=90.
Overall decision: 27 years Female
women's Credit card Default is maximum.

9. Expected Outcome
Defaulted by Marital Status and gender in
Cluster bar chart:
In this Cluster bar Chart visualization we
can say that:
1. Single Female defaulted 1856 and male
1485.
2. Married Female defaulted 1860 and
male 1346.
3. Unknown Female defaulted 44 and
male 40.
4. Blank Female defaulted 3 and male 2.
Overall decision: Married Female women's
Credit card Default is maximum.

10. Expected Outcome
Defaulted by State in Geographic's map
chart:
In this map Chart visualization we
Determine default rate by individual
state:
Here Mild color means low default rate
state and Intense color means high
default rate state.
Example:
1. Idaho=160
2. Colorado=144
3. Oklahoma=115
4. Louisiana=152
Overall decision: Idaho state Credit
card Default is maximum

11. Expected Outcome
Defaulted by State in Word Cloud
chart:
In this word cloud Chart visualization we
Determine default rate by individual
state:
Here Large size word means high default
rate state and small size word means low
default rate state.
Example:
1. North Dakota-180
2. Virginia-145
3. Maryland-130
4. Indiana-90
5. Florida-45
Overall decision: North Dakota state
Credit card Default is maximum

12. Expected Outcome
This credit card data set visualization
we can determine overall default
Ratio ,latest average pay amount
and latest average bill amount.
Here overall default ratio 0.22% so
financial organization can decide very
easily for their credit card policy.

13. CONCLUSIONS
Credit risk plays a major role in the
banking industry business.
Credit card default can hamper to
get proper Services.
Card provider can take Proper
decision to select customer.
Government can take initial step to
regulate the credit banking system
etc.

14. Reference
ECOLOGICAL
ANALYSIS
Dataset Source: https://www.kaggle.com/uciml/default-of-credit-card-clients-dataset
Paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9239944
Article:https://www.thebalance.com/what-is-credit-card-default-
960209#:~:text=Credit%20card%20default%20happens%20when,for%20other%20credit%2Db
ased%20services.
Paper:https://www.researchgate.net/publication/326171439_Default_Payment_Analysis_of_
Credit_Card_Clients

15. THANK U FOR KEEP
ATTENTION