Data Story

Data Story Student’s Name Institutional Affiliation Data Story Diabetes is a health issue that causes people major problems with their lifestyles and quality of living. It also increases their chances of complications. To manage diabetes, one needs medication and doctor checks with change in lifestyle. The diabetes dataset, treatment, compliance, exercise, check up, and BMI, are among the data story content. This will help to steer evidence-based treatment intervention on patient care. Data Presentation Trends were identified in the analysis of diabetes management variables. Combination therapy led to the greatest HbA1c reduction of -4.2 units, larger than -3.5 units of insulin and -3.0 units of diet/exercise. Patients who were compliant were admitted to hospital 10 times during the study. In contrast, patients who were non-compliant ended up being admitted 15 times during the study. Those who exercised for five or more per week saw greatest HbA1c control among those who exercised with frequency. In addition, regular check-ups each month or every second month improved HbA1c control. BMI was positively correlating significantly with the initial HbA1c which probably shows obesity affects glycemic control. Ethnicity-based disparities in HbA1c outcomes were also evident. The Black and Hispanic populations had significantly higher HbA1c levels than the White and Asian populations. Black and Hispanic pa...