PROJECT DESCRIPTION
This project is set out to communicate an in-depth inside into a dataset obtained from the Quarterly Dialysis Facility Compare report, for each state, city, and county of United States. (https://data.medicare.gov/data/dialysis-facility-compare ). This communication will be made through visualization using different marks and channels.
AIM
The objective of data visualization is to understand large dataset and to communicate the information contends therein as clearly, efficiently, and effectively, in such a way that it will stimulate viewers’ engagement and attention. To this end, the specific aims to which the project will seek to achieve are;
1. To explore the different dimension and points of interest in the dataset
2. To determine patterns, trends, and relationships among different dimensions and points
3. To communicate clearly, efficiently, effectively any observed pattern trend, and relations in a way that will be understandable, accessible, and usable, as well as replicate by others
Procedure
To achieve the aims set above, this project will utilize different computer programs, such as Vega, Vega-lite, Python, R, and to a minimum level, Tableau, and Excel. The project will begin with exploration and then further in-depth analysis (complex designs)
Description of Dataset
The Data: The dataset was obtained from the Quarterly Dialysis Facility Compare report, for each state, city, and county of United States.
The dataset include information about directly actionable practice patterns such as dose of dialysis, vascular access, mineral metabolism, and anaemia management, as well as patient outcomes (such as mortality, hospitalization, hospital readmission, transfusions, and survival) that can be used to inform and motivate reviews of practices.
Data points – the dataset consists of 7,578 data-points. These data-points will utilize at the course of the project
Number and types of Dimension: The dataset contains 119 dimensions, which 81 are quantitative, 19 are categorical, 9 are calendar (dates), 5 are geopoints, and 5 are nominal.
For the purpose of this project, 64 dimensions will be of interest. These are the informative dimension which will meet the project objectives. These dimensions comprise of all the different dimensions stated earlier under the dimension description
For the purpose of this project, 64 dimensions will be of interest. These are the informative dimension which will meet the project objectives. These dimensions comprise of all the different dimensions stated earlier under the dimension description