In this file, three parts will be introduced: Function description, preparation and required libraries. ##Function description: This program is based on JupyterLab with Python3.5 kernel. It tries to obtain data sets from AURIN OpenAPI and link the data with Type 1 Diabetes patients distribution. It use Python library Bokeh to visualize data and presents a interactive map. ＃#Preparations This project is written by Python version: 3.5. A AURIN OpenAPI account is required to apply. Username and password should be saved in the openapi.cfg.
To run the .ipnb file, the Jupyter Notebook is required. The download link is: http://jupyter.org/install.html
Except some common packages like numpy, math, csv, etc, some special packages are required as well. A brief introduction and installing command is shown below:
urllib: Provides a high-level interface for fetching data across the World Wide Web. Install by command:
pip3 install urllib3
dbfread: Reads DBF files and returns the data as native Python data types for further processing. Install by command:
pip3 install dbfread
geojson: This library implements all the GeoJSON Objects described in The GeoJSON Format Specification like Point, Polygon,etc.Install by command:
pip3 install geojson
pyshp: The Python Shapefile Library (pyshp) provides read and write support for the Esri Shapefile format. Install by command:
pip3 install pyshp
bokeh: A Python interactive visualization library that targets modern web browsers for presentation. Install by command:
pip3 install bokeh
minepy: This library provides an ANSI C library for the Maximal Information-based Nonparametric Exploration (MIC and MINE family). Install by command:
pip3 install minepy
sklearn: A free software machine learning library for the Python program. Install by command:
pip3 install minepy
Author: Zhanyi Qi Email: zhanyiq@gmail.com Major: Master of Information Technology Organization:The University of Melbourne