Data Structures Project - Peer Review/Assessment

[tuckergol]

I am making this issue for a more organized assessment of my peer's Data Structures Write-up in this collaborative review.

(Grading/score is for Remy Liu, P2 Mortenson)

Collections - Total 3/3, Grade 1/1

• [x] Blog Python Model code and SQLite Database.

  • [x] Show your unique collection/table in database, display rows and columns in the table of the SQLite database from VSCode using SQLite3 Editor.
  • [x] Show your unique code that was created to initialize table and create test data from VSCode model.

Lists and Dictionaries - Total 3/3, Grade 1/1

• [x] Blog Python API code and use of List and Dictionaries.

  • [x] Show a list as extracted from database as Python objects in VSCode using Debugger.
  • [x] Show two distinct examples of dictionaries, show Keys/Values using debugger in VSCode.

APIs and JSON - Total 6/7, Grade 0.86/1

• [x] Blog Python API code and use of Postman to request and respond with JSON.

  • [ ] Show Python API code definition for request and response using GET, POST, UPDATE methods in VSCode. Discuss algorithmic condition used to direct request to appropriate Python method based on request method.
    • (didn't discuss conditions); solely showed.
  • [x] Show algorithmic conditions used to validate data on a POST condition in VSCode.
  • [x] Show URL request and Body requirements for GET, POST, and UPDATE methods in Postman.
  • [x] Show the JSON response data for 200 success conditions on GET, POST, and UPDATE methods in Postman.
  • [x] Show the JSON response for error for 400 when missing body on a POST request in Postman.
  • [x] Show the JSON response for error for 404 when providing an unknown user ID to a UPDATE request in Postman.

Frontend - Total 8/8, Grade 1/1

• [x] Blog JavaScript API fetch code and formatting code to display JSON.
  • [x] Show response of JSON objects from fetch of GET, POST, and UPDATE methods in Chrome inspect.
  • [x] Show a demo (GET) of obtaining an Array of JSON objects that are formatted into the browsers screen in the Chrome browser.
  • [x] Describe fetch and method that obtained the Array of JSON objects in JavaScript code.
  • [x] Show code that performs iteration and formatting of data into HTML in JavaScript code.
  • [x] Show a demo (POST or UPDATE) gathering and sending input and receiving a response that show update. Repeat this demo showing both success and failure in the Chrome browser.
  • [x] Show and describe code that handles success. Describe how code shows success to the user in the Chrome Browser screen in JavaScript code.
  • [x] Show and describe code that handles failure. Describe how the code shows failure to the user in the Chrome Browser screen in JavaScript code.

NOTE: demo for failure/success will receive success grade for now, but more explanation of system of code itself would be nice (ask, how does it work?).

Optional/Extra, ML Algorithm Analysis - Total 5/5, Grade 1/1

• [x] Machine Learning Algorithm Analysis
  • [x] Show algorithms and preparation of data for analysis. This includes cleaning, encoding, and one-hot encoding.
  • [x] Show algorithms and preparation for predictions.
  • [x] Discuss concepts and understanding of Linear Regression algorithms.
  • [x] Discuss concepts and understanding of Decision Tree analysis algorithms.

Averaged grade: 9.7/10

[tuckergol]

FINAL ASSESSMENT (OUTDATED)

• Database initialization is sufficient. Sample data is unique and is relevant to project theme.
• Code iteration is also sufficient. Request validation is present.
• Postman work seems good. Better than mine. I'm not sure what else could be included to suit the requirements other than extra work, it seems sufficient, again.
• Missing images/work for Frontend. So far, provided work/code seems good but I'd like to see how it works. This will bring grade down significantly for now.
• Additional Algorithm Analysis included. Extra effort shows good understanding of ML content and thorough analysis demonstrates both that knowledge and desire to learn the application of that ML work.
• Formatting of blog could be better. Instead of google drive links, try using image addresses committed to GitHub. But blog is thorough and contains many explanations for each aspect of Code.

Blog contains sufficient information for a majority of categories and has consistent explanations of work, but could be formatted better. Some aspects are missing (for now images for frontend JS code).

I can't really have an understanding of the project overall with all of the current gaps.

Despite the write-up's obvious flaws, you definitely demonstrate a highly proficient understanding of the content, dude. Almost all requirements are met and with some cleanup and few additions, the write-up will be nearly flawless in my eyes for our current skill level.

For now, your grade is 9.0/10. This grade almost "fails" because it is very close to being lower than 90%, but is subject to positive change following full completion/filling in of holes of write-up. I am open to growth and reinforcement of your current ideas and would love to work more with you to sort things out if necessary. Your work is very promising.