Descriptive Data Analysis of Contagious Diseases using Statistical Parameters
|International Journal of Computer Science and Engineering|
|© 2019 by SSRG - IJCSE Journal|
|Volume 6 Issue 9|
|Year of Publication : 2019|
|Authors : Abhijeet Sudhakar, Rajendra B. Patil, Srivaramangai R|
How to Cite?
Abhijeet Sudhakar, Rajendra B. Patil, Srivaramangai R, "Descriptive Data Analysis of Contagious Diseases using Statistical Parameters," SSRG International Journal of Computer Science and Engineering , vol. 6, no. 9, pp. 1-6, 2019. Crossref, https://doi.org/10.14445/23488387/IJCSE-V6I9P101
Data Analytics techniques are popularly acceptable and widely preferred by researcher for analyzing the data. This includes descriptive analysis using statistical methods, classification techniques to segregate data, prediction to predict and various other techniques using data mining techniques. Data Analysis has its various applications widely applied in healthcare industry. Contagious diseases are a major concern for authorities; it runs rampant in places with less medical facilities. In order to curb them they need data of these diseases. To make the strategical decision and for necessary measures the authorities use different data mining techniques to discover the knowledge from the data. In this paper, the authors have analyzed the data using statistical methods and linear regression and time series methods. The data for contagious diseases for 5 years (2011-2015) is pooled from government website. As a result of this research strategical knowledge is generated that can be used for taking the necessary measures.
Data Analysis, Regression, Statistical techniques, Time Series, healthcare, contagious disease.
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