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.