Interactive web display showing correlations between US demographics and various health outcomes (heart attack, depression, and diabetes incidence). When an axis is clicked, the graph changes to include data from the selected variable. Built using D3.js
This script uses pandas/numpy/matplotlib to collect, organize, process and display a large data set
This concise description denotes the purpose of the project: to provide a formal analysis of food access challenges for strategic decision-making.
A simple dashboard to visualize new cases of COVID-19 detected in each of US counties alongside vaccination rate in the area
The Machine Learning APP for "2020-BRFSS-Codebook-CDC".
Files related to the CDC text classification challenge
Sample Microservices to demonstrate CDC events capture across multiple applications. Prototype of Event driven based microservices.
Visualization of data taken by the Department of Public Health (DPH) and Centers for Disease Control and Prevention (CDC) of new COVID-19 cases in the state of Massachusetts as well as nationwide. Trends of COVID cases depending on vaccine product taken, gender, age group, and vaccination status are visualized. Updated daily.
Data on US ILI, influenza pos lab tests, and total influenza cases from 1998-2019
Interactive geovisualizations of NY cancer data using Plotly
Analysis of the suicide death rates within the US Hispanic & Latino population. Data collected from the Centers for Disease Control and Prevention.
Automated script developed in Mage.ai to monitor and validate the status of AWS DMS CDC tasks, ensuring data integrity and synchronization. Sends notifications for any detected validation issues.
Data decoding, encoding, conversion, and translation utilities.
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