Abstract
This project delves into an analysis of the "Dr.Visits" dataset using Python tools and libraries, aiming to uncover insights into patterns and relationships related to doctor visits and health conditions. Through data visualization techniques and statistical methods, the project seeks to reveal key trends and correlations within the dataset. Initial steps involve importing the dataset and exploring its characteristics, including variables like gender, age, income, and illness distribution. The analysis focuses on understanding how these variables impact doctor visits and health-related activities. Notably, the project highlights gender-based variations in reduced activity due to illness, prompting further exploration of potential contributing factors. In summary, this project provides valuable insights into healthcare and patient behavior through the lens of the "Dr.Visits" dataset.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Indian Journal of Data Communication and Networking
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.