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Charles Reid
5708d699e8
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8 years ago | |
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docs | 8 years ago | |
pelican | 8 years ago | |
.gitignore | 8 years ago | |
Chapter 1 - A Descent into the Underworld.ipynb | 8 years ago | |
Chapter 2 - The Odyssey - Accidental Deaths.ipynb | 8 years ago | |
Chapter 3 - Ulysses - Epidemics.ipynb | 8 years ago | |
LICENSE | 8 years ago | |
README.md | 8 years ago | |
icd10codes.json | 8 years ago |
README.md
death
Analysis of CDC statistics about death records in 2014.
Jupyter Notebooks
Preparation of data and exploratory analysis is performed with Python in Jupyter notebooks.
D3
Visualization of data is performed with D3. The D3 page is created with Pelican, held together with Angular.js, and hosted by Github.
Data
To prepare the data for the initial stages of visualization, create functionality to extract death records related to a single code.
Construct visualizations for a single code, plan for expansion and multiple codes later.
Dashboard
Sex - donut chart
Month - polar radar plot
Manner of Death - bar chart
Age - population pyramid
Race - cluster/bubble chart