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Analysis of CDC statistics about death records in 2014.
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Charles Reid 5708d699e8
Removing D3 prep notebook, adding ICD10 codes JSON 		7 years ago
docs updating docs with simple, plain theme. 7 years ago
pelican Removing D3 prep notebook, adding ICD10 codes JSON 7 years ago
.gitignore adding Chapter 1 to Chapter 3 notebooks, gitignore 7 years ago
Chapter 1 - A Descent into the Underworld.ipynb updating jupyter notebooks 7 years ago
Chapter 2 - The Odyssey - Accidental Deaths.ipynb updating jupyter notebooks 7 years ago
Chapter 3 - Ulysses - Epidemics.ipynb adding Chapter 1 to Chapter 3 notebooks, gitignore 7 years ago
LICENSE Initial commit 7 years ago
README.md updating readmes. 7 years ago
icd10codes.json Removing D3 prep notebook, adding ICD10 codes JSON 7 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