Statistical analysis of U.S. chronic disease trends (Obesity, Smoking, Heart Disease) using CDC CDI data and R (Tidyverse)

R-Studio RMarkdown analysis of public dataset of US Territory Chronic Disease Indicators

Here we have taken the dataset from secondary platform Kaggle and analyzed the Chronic kidney disease dataset with performing Linear Regression

Here we have performed Logistic regression on Chronic Kidney disease dataset by using R programming Lnaguage.

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My first data analysis personal exercise. Appreciate critics for improvements and I did use AI for assistance specially my grammar.

US Chronic Diseases Indicators dataset comes from CDC's Division of Population Health that provides cross-cutting set of 124 indicators that were developed by consensus and that allows states and territories and large metropolitan areas to uniformly define, collect, and report chronic disease data that are important to public health practice and available for states, territories and large metropolitan areas. In addition to providing access to state specific indicator data, the CDI web site serves as a gateway to additional information and data resources. The CDI website enables public health professionals and policymakers to retrieve uniformly defined state-level and selected metropolitan-level data for chronic diseases and risk factors that have a substantial impact on public health. These indicators are essential for surveillance, prioritization, and evaluation of public health interventions for chronic disease.

In healthcare domain, large volumes of data are generated which is coined by “3 V’s” Volume, Velocity, and Variety. Chronic diseases are an important public health problem, which can result in morbidity, mortality, disability, and decreased quality of life. In this research, big data technique such as R is used to analyze US Chronic Disease Indicators (CDI) that allows states and territories and large metropolitan areas to uniformly define, collect, and report chronic disease data. Analysis shows that highest percentage of alcohol use among youth is seen for Texas and lowest percentage is seen for District of Columbia. The results indicate that Diabetes is the most prevalent disease among top 10 US chronic diseases. Based on the comparison, diabetes prevalence among women aged 18-44 years having sum less than 5000 depicts that Washington state is the highest among all states.