Chronic diseases data from various US health organizations was cleaned and imported into MongoDB to create dashboards in Power BI. Over 400,000 rows of data on chronic diseases across states, gender, and race were cleaned by removing rows with null values. Issues with installing and connecting MongoDB and Power BI were addressed. Dashboards allowed for state-wise, institutional, and regional analysis of diseases across demographics. This highlighted states with high disease concentration and gender and ethnic groups most affected.

1. US
CHRONIC
DISEASE
T E A M 1
S I D D H I K A A LV E
A S H I S H B A I S
S H R E YA N T H B E Z AWA D A
A K S H AT B H AT I A

2. UNDERSTANDING THE DATA
Data Profiling:
● The Chronic diseases reported by various US Health Regulatory Bodies
● Number of Diseases affecting the various States, Gender and Race
● Number of people affected by these chronic diseases

3. CLEANING THE DATA
● We cleaned the data using Python
● Number of Rows - 403985
● Number of Columns - 21
● Issues - Null values (MissingValues) in 5 columns
● How we resolved it - Removed the rows with null values. Further, no minimum value was
zero for any column.Thus,no anomaly in updated dataset.
● Cleaned data extracted in CSV and JSON format.

4. INSTALLING MONGODB AND POWERBI
● It is an Open Source
● Compatible with PowerBI
● Greater Community Support
● Highly Scalable

5. ISSUE / CHALLENGES FACED
● Install issues withVisual C++ addon
● Importing the dataset to MongoDB
● MongoDB compass issue
● MongoDB - PowerBI connection Issue
● Wizard crash Issue

6. IMPORTING DATA

7. THE SCRIPTS USED

8. EXCUTING MONGODB

9. DATA IN MONGODB

10. USE-CASES
State-wise Analysis of disease
Institutional Analysis for diseases across states
Regional Analysis of diseases across different ethnicity
Regional Analysis of diseases across different Gender
Why were ethinicity and gender considered an important factor?

11. A SMALL INSIGHT DURING RESEARCH
The Story of Kira Dixon Johnson

12. DASHBOARDS

15. DOCUMENTATION
● The Business Description document
● Installation Document
● Why we used MongoDB for our project

16. CONCLUSION
● Identify states with higher concentration and conduct awareness camps in rampant areas
● Cardiovascular diseases most prevalent in the US. Health awareness camps must be
conducted
● Cancer is the most deadly disease.Around 60% of females post the age of 40 are
susceptible to cancer. Regular examination/health checkup must be made mandate
● Diabetes is an increasing concern for population between the age of 18-44.This must be
kept in check by regulating the dietary supplements as prescribed by the nutrional dept.

17. THANK
YOU!!