Aspect Analysis of Dementia Patients

Abstract

Early diagnosis of Mental Cognitive Disorders (MCD) is crucial in establishing timely treatment to delay further progression of the disease. This paper demonstrates a data visualization and statistical data analysis of dataset collected from Kaggle. In this paper the authors have derived an analysis of a dataset based on Mild cognitive impairment (MCI) disorder. Most of the data that is brought to work is not clean and requires substantial amount of Data cleaning. Hence, for pre-processing and cleaning of data, we imported many python libraries and dealt with NULL values and outliers. These NULL values and outliers were treated using statistical methods and were replaced by their means and medians. Data visualization is the pictorial depiction of data by using visual elements like charts, graphs and maps. When data-processing and cleaning was completed, data was visualized with varied graphs and charts to create appealing, informative and detailed plots for presenting data in the most effective and easy way. The results focused on the visualization of demented and non-demented people of different genders along with other parameters to lay out a clear picture for the reader.