Patricia Rollins

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This app is a sample E-Commerce website for a fictitious online store known as "Spa Gifts Galore". Users that register have the ability to shop for available products as well as make purchases using Paypal. In addition, there is a "ratings" feature incorporated within the site to allow buyers to leave product feedback.

One other unique aspect to point out about this app is that it has a fully functional "Admin" interface. To try out the project demo, just click on the "GO TO WEBSITE" button above.

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This app is a sample E-Commerce website for a fictitious store: "Closet Envy". Users that register have the ability to shop for available products as well as make purchases using Paypal. In addition, there is a "ratings" feature incorporated within the site to allow buyers to leave product feedback.

One other unique aspect to point out about this app is that it has a fully functional "Admin" interface that includes several helpful utilities such as importing product information. To try out the project demo, just click on the "GO TO WEBSITE" button above.

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This web app provides 5-day weather forecasts based on the location of the user. Users that register have the ability to personalize weather forecasts by providing up to 5 US locations (zipcodes) of their choice. Three APIs are consumed for weather and location information, and an "admin" utility is incorporated within the site for administration purposes.

One unique aspect to point out about this NOAA API is that it outputs XML data (NOAA actually has more than one API available). Within this app, XML data is parsed using the Python implementation of the ElementTree library. To try out the project demo, just click on the "GO TO WEBSITE" button above.

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This web app allows the user to not only view YouTube video favorites selected by others but also to upload their own favorites after he/she registers and completes the login process. The ideas is to collectively create an online repository of coding help videos courtesy of YouTube.

The YouTube API is being utilized for the video captions as well as the search feature. To try out the project demo, just click on the "GO TO WEBSITE" button above.

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This containerized app is a web scraping project that obtains and visualizes statistical data involving coronavirus cases, deaths and tests for the U.S. courtesy of the Coronavirus World-O-Meter site. Data is saved in a csv format.

Flask is integrated as an API for the backend with the help of Flask-Cors. Vue.js and Chart.js are both utilized for the frontend. To try out the project demo, just click on the "GO TO WEBSITE" button above.

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This is Part I of an HR employee data analysis project for a ficticious company known as Dental Magic, Inc. The analysis depicts a scenario where a variety of techniques are used to breakdown and manipulate a large HR dataset that encompasses employee demographics, salary details, recruitment sources and costs, etc. The dataset used for analysis was downloaded from Kaggle.com. Additionally, coding strategies are incorporated within this analysis to help conclude trends observed within a large dataset.

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This is a weather forecasting experiment that incorporates the concept of machine learning by showcasing basic techniques involved in the process. The data used was downloaded from the NOAA site and represents temperature-related information for Charlotte, NC from 2013 to 2018. The experiment includes procedures associated with model creation, linear regression and data visualization.

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This is a drug treatment analysis project involving a scenario where the data analyst uses several techniques and coding algorithms in order to conclude trends observed within a large dataset.