Capstone project from the Python For Everybody specialization of Coursera. Specialization created by University of Michigan. Taught by Associate Professor Charles Severance.
The purpose of this project was to build a small program using Python language that will connect to the CDC Wonder API and access the Daily Fine Particulate Matter xml data. From here the program will create a SQLite database with total daily fine particulate matter for each year in each U.S. county. The program will then prompt user input for which year they want to display, and whether they want to display counties with the highest or lowest fine particulate matter. Depending on the input, the program will then display the top 25 counties of either highest or lowest fine particulate matter.
A second program gword.py, included, can be used to access the SQLite database and build a small Javascript file, which is then used to visualize the results into an html word cloud.
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(note1: CDC = Centers for Disease Control and Prevention) (note2: cap.py = capstone file) (note3: gword.py = creates javascript file gword.js) (note4: gword.htm = creates wordcloud using data from gword.js and instructions from d3.v2.js and d3.layout.cloud.js)
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- Python for Everybody, a 5-course specialization by University of Michigan on Coursera. Specialization Certificate earned on May 27, 2018, License 55MU7WFUBDMA.
Specialization comprised of:
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Capstone: Retrieving, Processing, and Visualizing Data with Python by University of Michigan on Coursera. Certificate earned on May 28, 2018, License XPPK3Q7XEJM4.
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Using Databases with Python by University of Michigan on Coursera. Certificate earned on April 9, 2018, License VJ7Q8D3WU68U.
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Using Python to Access Web Data by University of Michigan on Coursera. Certificate earned on March 13, 2018, License QTU854RTH7BN.
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Python Data Structures by University of Michigan on Coursera. Certificate earned on January 2, 2018, License LBHGBAUXV2FM.
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Programming for Everybody (Getting Started with Python) by University of Michigan on Coursera. Certificate earned on November 5, 2017, License 6XR477TJAFXK.