Data Visualisation Course Project

Link to the website:

https://hemanth-sunkireddy.github.io/BloodLytics

BloodLytics: Visualising Blood Donation Statistics

This project revolves around a detailed analysis of blood donation statistics, including donor demographics, donation frequency, and regional supply-demand imbalances. Sourcing relevant datasets from reputable health organizations and blood banks forms the basis for uncovering barriers to blood donation participation.

Users of the Project

(a) Government (Ministry of Health and Family Welfare) (b) Blood Banks (c) Blood Donors (d) Healthcare Professionals (e) Public (f) Policy Makers

Questions get answered

(a) Find the areas where blood requirements are more? (b) What is the distribution of blood groups, gender, age groups, and relations among donors and recipients? (c) How does demographic information such as age, gender, and location correlate with donation rates? (d) Are there geographical disparities in blood donation availability and accessibility? (e) Find the districts with no blood banks or donations availability? (f) Reasons for not donating the blood? (g) Frequency of blood donation of a person?

Technologies

1. D3.js for Visualisations
2. Bootstrap for responsiveness
3. javascript for additional functionality

How to Run

1. Clone the repository or Download the zip file.
2. cd into the repository
3. open terminal and run

     python3 -m http.server

4. Or else Open index.html file on Browser

Contribution

Clone the repository or Fork the repository. cd into repository folder Create new branch

git checkout -b "<Branch_name>"

Start modifying the code Add and commit the changes by following the commands

git add .
git commit -m "<Message>"

rebase the main by

git rebase main

Finally push the changes.

git push origin "<BRANCH_NAME>"