This article explores the R programming language graphic capacity and appreciates the importance of DHIS2, in provision of data that can be used to make forecast into the future and also decision making today by establishing the existing trends on a number of diseases in Kitui County. Methods applied are simple linear regression to explain the relationship between TB cases detected and TB HIV+ cases. In this study we noticed there is almost a perfect correlation between the two. We also use line graphs and pie charts to graphically display some sickness scenarios.