US_2030Population README

BACKGROUND/REASON

• I needed a data to argue the necessity/importance of my research thesis in osteoarthritis.
• Osteoarthritis is common in elderly individuals, and US census data shows the percentage of people above 60 years old is increasing.

DATA

CLEANING

• Data was downloaded from US Census website, unfortunately in Excel highly formatted table.
• Data was made into .csv and prepared for R.

OBJECTIVES

• As the purpose of this data is to show the aging US population, I grouped the data into 3 groups (<18, 18-65, >65).
• And since details did not matter so much, I primarily showed the data in graphs.

DATA VIZ

• GGPLOT2 is used mostly. Theme, color, title were minimal. Graphs were exported in .eps file.
• Graphs were imported to Adobe Illustrator where fonts, colors, info were added.

EXAMPLE OF WORK PROGRESS

Raw export from R:

![Raw export] (https://github.com/raffwh/US_2030Population/blob/master/r_raw-export.png)

Final draft from AI:

![Proper graph] (https://github.com/raffwh/US_2030Population/blob/master/ai_final.png)

DISCLAIMER

This is one of my first projects in making data visualisation, code choices and design decisions are purely my own preferences and based on my skill level at the time

Data was available publically. The extrapolation and percentage prediction are only informational. I did not check how it was calculated.

Feel free to make the code better.