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Data analysis report on flu vaccines from a competition hosted by Driven Data. Data visualizations are created in Tableau

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Flu Vaccines Analysis Project

Completed: 20 February 2021

Authors and Collaborators

Project Objective

A data analysis report for the flu shot learning competition hosted by Driven Data to achieve understanding in the following areas:

  • Business Objectives and Success Criteria
  • Inventory of Resources
  • Requirements, assumptions, and constraints
  • Ethical Reviews
  • Risks and Contingencies
  • Terminology
  • Costs and Benefits
  • Data Mining Goals and Success Criteria
  • Projet Plan

Methodology

  • Initial Report
  • Data Exploration
  • Pre-processing
  • Data Visualization
  • Data Report
  • Propose data mining models

Technologies

  • Python
  • Tableau
  • Powerpoint
  • Word

Project Description

DrivenData is currently hosting an ongoing competition in the public health sector. While vaccines are still under administration logistics with risk factors involved, current data related to vaccinations of COVID-19 patients are not yet available. Therefore, this competition aims to analyze data from “a different recent major respiratory disease pandemic”, the H1N1 influenza virus from spring 2009 (DrivenData). DrivenData pointed out that over 150,000 deaths occurred due to this virus also known as the “swine flu”. Since then, a vaccine was developed and became publicly available in October 2009. As early of 2010, the current data available in this competition is derived from when “the United States conducted the National 2009 H1N1 Flu Survey” (DrivenData).

In this survey, there were questions asking about the respondents’ “social, economic, and demographic background” and their “opinions on risks of illness and vaccine effectiveness” (DrivenData). Also, questions on whether the respondents have received the vaccines as well. DrivenData cited that this data “is provided courtesy of the United States National Center for Health Statistics.”

The current status of this project is ongoing until the deadline of March 31, 2022. The prerequisites involve the use of data mining through machine learning algorithms and modeling. This project aims to predict the probabilities whether patients are taking the H1N1 and seasonal flu vaccines. The motivation is to push for vaccinations, as our customer explains that vaccines are “a key public health measure used to fight infectious diseases.”

Presentations and Reports

Data Visualizations

Survey Responses

Vaccine Concerns about Effects

Vaccine Recommendations based on Gender

Original Data

DrivenData Flu Shot Learning Competition

References

DrivenData. (n.d.). Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines.

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Data analysis report on flu vaccines from a competition hosted by Driven Data. Data visualizations are created in Tableau

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