Healthcare IT Decoded - Data Visualization using R
Applying ggplot in R & Python
Healthcare IT Decoded - Data Visualization using R free download
Applying ggplot in R & Python
Are you Interested in learning how to create some basics using R programming and Healthcare data? Yes, then look no further.
This course has been designed considering various parameters. I combine my experience of over twenty years in Health IT and more than ten years in teaching the same to students of various backgrounds (Technical as well as Non-Technical).
In this course you will learn the following:
Understand the Patient Journey via the Revenue Cycle Management Workflow - Front, Middle and Back Office
The Data Visualization Journey - Moving from Source System to creating Reports
At present I have explained 41 Charts using R (primarily using ggplot)
Bar Chart | Stacked Bar Chart | Stacked Bar Chart percent | Grouped Bar Chart | Horizontal Bar Chart
Pie Chart | Trellis Chart | Basic Scatter Plot | Scatter Plot with Trend Line | Scatter Plot & Multiple Trend Line
Scatter Plot with different shapes | Jitter Plot | Bubble Chart | Scatter plot & Ellipse | Scatter vs Hexbin
Violin Plot | Beeswarm Plot | Density Plot | Histogram vs Density | 2D Density Plot | Box Plot | Box with Jitter
ECDF Plot (Empirical CDF) | Ridgeline Plot | Bean Plot | Raincloud Plot | QQ Plot (Quantile-Quantile Plot)
Tornado Chart | Basic Heatmap | Interactive Heatmap | Geographical Heatmap | Calendar Heatmap |
Correlation Heatmap | Line Chart | Multiple Line Chart | Line Chart + Animation | Area Chart |
Stacked Area Chart | Step Chart | Sankey Chart | Tree Map |
New section added to create Charts using plotnine (ggplot) in Python
The purpose is to try and reuse the ggplot code created in R.
Healthcare Datasets to create the above charts.
CDC Wonder Dataset around Cancer.
Hospital Readmissions Data
Measles Data
Chronic Disease Indicators from CDC
COVID Cases
Heart Failure Data
Prostate Cancer Data
**Course Image cover has been designed using assets from Freepik website.
