Project1 Sprint4

Visualizing your data

Summary: In this sprint4 of your first project, You will Visualize your data that you have collected into your database from the first three sprints

Due: Sun March 3rd at 11:59pm (just before Spring break officially begins on Mon March 4th)

Use the same project that you used for the rest of this project. I will just do a git pull on the project and get the updates.

Details:

Display your all of the data from both the API and the Excel file in a graphical user interface (which will work on my linux machine to grade). Your GUI should include:

• A list of all of the jobs which only displays headline information (job title and/or company perhaps)
• when the user selects a job from the list, display the complete job information elsewhere in the graphical user interface
• Display the jobs data on a map
• make sure to display jobs in such a way that users can tell how many jobs are in a given area.
• this could be using map pins, choropleth maps or some other method.
• Allow the user to filter jobs
• Allow the user to filter jobs on a keyword (e.g. only jobs that mention python)
• Allow the user to filter jobs on city location - only show jobs in that city
• Allow the user to filter jobs to show only remote jobs
• Allow the user to filter jobs to show only jobs with min salary higher than a user entered amount.
• When the user used a filter, update both the list and the map.

Write additional automated tests:

• Write a test to test each of your four filter functions. (four tests in total)
• write one more test of your choice.

DevOps:

as before, make sure that your program passes all of the tests and linting on the github actions docker container.

Include a Readme with all that I need to know to run your program.

I leave a lot of the implementation details up to you. as long as it works on my (Ubuntu 22.04 variant) Linux machine, you can use it. For Example

Python possible libraries: (these are things I've used, or other students have used in the past, if you have another way, go ahead)

• GUI
• plotly-dash
• pyside6
• tkinter
• Maps
• folium (the resulting map needs to be displayed in a web viewer GUI widget)
• plotly (with dash can make the entire GUI a webapp)
• matplotlib basemap

Golang Possible Libraries:

• GUI
• fyne
• go-qt
• Maps
• go-geoplot (the resulting map needs to be displayed in a web viewer GUI widget)

Submitting:

I will re-pull from the same repository after I wake up on March 4th.