Heroku link - https://healtycounty.herokuapp.com/
Standard Score / z-Score. The standard score (more commonly referred to as a z-score) is a very useful statistic because it (a) allows us to calculate the probability of a score occurring within our normal distribution and (b) enables us to compare two scores that are from different normal distributions.
Objective: How can we quantitively and qualitatively measure the health of a county? What are the factors that make a county healthy? How can we select a county based on the health parameters (e.g. air quality or proximity to health centers) that matter to an individual or families?
Approach: Offer users the flexibility to select state and county of their choice. Based on the selection, display the 5 attributes that we have considered for the project, and respective ranks. Offer users the flexibility to select state and attribute of their choice, and ability to select one of top 3 counties for the selection Offer map visualization as a tool to compare and contrast the counties for a selected state
Display & Determinations :-
- County level health index /score for certain states and provide interactive visualization for users.
- Suggest top 10 Counties
- Based on the choice of User's selection of State and Health Attribute preference Top 3 counties is suggested
- The details of the Top 3 counties include- a) Link to Wikipidea b) Population c) Aggregated values of the z-scores of the Attributes d) Latitude e) Longitude
- The calculation is based on: a) 40 % weitage to the first attribute + value of the z-Score. b) 30 % weitage to the second attribute + value of the z-Score. c) 20 % weitage to the third attribute + value of the z-Score. d) 10 % weitage to the fourth attribute + value of the z-Score.
Technology Stack: Presentation Layer: HTML, CSS, Bootstrap Middleware: Flask DataBase: MONGODB Programming Languages: Python, Javascript, Jquery Vizualization: Leaflet & D3 libraries: glob2, xlrd, Flask, render_template,jsonify, pymongo