Counting Every Breath

Lung cancer incidence, treatment and survivability

Data Visualization

Counting Every Breath

Lung cancer incidence, treatment and survivability

Data Visualization

Challenge:

Showing the continuity of statistical correlation between stage of cancer at the time of diagnosis and how subsequent treatments affect survivability.

Solution:

Using the NIH's dataset, the design of the visualization combines a dot plot with an alluvial chart. This allows the reader to follow each population subset as they are diagnosed to their resulting clinical outcome.

Tools

Miro, Tableau, Rawgraphs, Adobe Illustrator

Client

Prof. Jodie Jenkinson (MSC2023H)

Target Audience

Healthcare workers, policy-makers, families with aging individuals.

Challenge:

Showing the continuity of statistical correlation between stage of cancer at the time of diagnosis and how subsequent treatments affect survivability.

Solution:

Using the NIH's dataset, the design of the visualization combines a dot plot with an alluvial chart. This allows the reader to follow each population subset as they are diagnosed to their resulting clinical outcome.

Tools

Tableau, Rawgraphs, Adobe Illustrator

Client

Prof. Jodie Jenkinson (MSC2023H)

Target Audience

Healthcare workers, policy-makers, families with aging individuals.

Process

Ideation

Lung cancer, as you can imagine, is a very complicated sickness with complex contributors and indicators. To begin, a word map was created to gather and connect ideas that are refined within rough sketches. The success here is using a familiar narrative of diagnosis to death and using different dot plot bins to separate each cancer stage. Check out my visual inspirations here.

Data Cleaning

NIH’s Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial dataset was used in this visualization. The data was first organized using Excel and then refined further through Tableau. 

Data Cleaning

NIH’s Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial dataset was used in this visualization. The data was first organized using Excel and then refined further through Tableau. 

Asset Creation

Graphs were created using Tableau or Rawgraphs and exported to Adobe Illustrator for further edits.

Color and Layout

Data source: NIH PLCO Dataset