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The goal of this project is to show our understanding of how API’s are used to make projects or websites. The result of this project is that it made me comfortable working with APIs.

Project URL: – https://github.com/SideWays143/Semester-Long-Project.

There are many things that I learned from this API project. I learned to add API’s in my projects, make my self familiar with JSON data, learned how to use NYC open data, learned how I can get data from the API’s.

The repository for the project that includes a paragraph stating its purpose (found within the “readme” section) , as well as the project code can be found here: https://github.com/danielaknipe/mis2402semester/tree/d3bc3d84d10084c1fcab2143b49800261611b6ed

The code within the class server can be accessed through this link: https://misdemo.temple.edu/tuk77895/api_project_full/

This project utilizes an API based off of the business license tax receipts within the city of Orlando. I used data within the API to create a line graph based off of the amount of business licenses opened between 2000-2023. I also used data to create a bar graph with five different business types, such as “professional” and “merchant” licenses.

 

1. My partner and I created a web application that allows a user to enter the weight of their food waste (lbs), the date, and the Temple dining hall they ate at to get visuals and predictions on how much of their waste was processed by Temple’s biodigesters and the amount that went to the landfill. The web application also allows Aramark employees to enter new food waste data records that will be entered into the database that is used to make the user-predictions. I learned how to create two user roles for one application. I also learned how to iteratively improve a web application for better UX, accessibility, and unique features.
2. URL: https://mis3502-mishra.s3.amazonaws.com/Project+4/index.html#

 

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2. The goals of the project included completing all 10 modules for the AWS Academy Cloud Foundations canvas course to help us better understand the content being taught in our Cloud Architecture class.
3. Some of the course topics that was discussed included:
   • AWS Well-Architected Framework Design Principles
   • Creating instance-based web servers
   • AWS Services (Compute, Storage, Database, Networking)
   • Networks and the AWS Platform
   • Serving webpages with cloudfront CDN
   • Structure and security of a VPC (private and public subnets, security groups vs NACLs, internet gateway, routers)
   • Creating lambda functions (creating APIS of our own that communicate with other APIs)
4. From learning what are virtual machines to building our own APIs that communicate with other APIs, I was able to learn a great amount from Professor Doyle and his Cloud Architecture course. By providing the additional resources of AWS Academy, I was able to dive deeper into AWS and better understand the in-class activities and projects that my classmates and I were able to work through together as a team.

In Shafer’s section of MIS2502 I completed the LinkedInLearning video “Learning SQL Programming” with Scott Simpson and answered all of the related exam questions correctly.

1. Create a dynamic web based api graph, 95, https://github.com/NickJCZZ/fproject, In this project I used a nasa api to show comparison between meteorite sizes showing the top five largest and smallest meteorites. The purpose of this project was to create code that can take api data and transform it into a graph that has a clear and visible message.
2. I added a line graph to further show to differences in mass between the top ten meteorites with the highest mass values

Green Cloud computing and Cloud security in MIS3406

The goal for this project is to find a reliable dataset to dissect. Gun Violence is one of the scene that my team proposed to do and we found reliable source from the Philadelphia Police website. We found out where these violence usually occurs and the number of incidents per zipcodes. We also draw a graph showing the incident by race, gender and fatality.

I learned how to use Tableau and Excel for visualization and to understand the dataset better than just looking on numbers. I learned how to use different kind of graphs, charts and maps in Tableau. It taught me how to treat outliers and  how we can fixed them. I learned how to make sure that data are correct and reliable.

This is the URL for my project: https://docs.google.com/file/d/1EQ2E6ZUP_7AWdlR_ahkWPiETpGCABseI/edit?usp=docslist_api&filetype=mspresentation

The purpose of this project was to create a web-based chart with API data. To formulate my charts I used an API that collects data about public recycling bins within the confines of New York City. Requiring the charts to be dynamic helped me understand how to organize a changing dataset to continually work with the chart’s parameters.

URL: https://misdemo.temple.edu/tuo76041/Project_API/index.html
Repository URL: https://github.com/tuo76041/api-project/tree/main