DBProject
Development of database-based system on Django. Our database project aims to create an online dataset library that data scientists can use to find and share datasets to aid in their research projects.
Team Members
Bryan Phua 1001550
Jonathan Bei Qi Yang 1001619
Loh Wei Quan 1001505
Ooi Kai Lue 1001779
Ruth Wong Nam Ying 1001795
Entity Relationship Diagram
Database Schema
The DDL for our Database Schema can be found : here
How to run the program
First navigate to the root of the project in your terminal, then run:
>> python manage.py runserver
Open localhost:8000/ in your favorite browser to view the web application.
Site Functionality
Registration:
a new user has to provide necessary information; he/she can pick a login-name and a password. The login name will be checked for uniqueness. We made us of Django’s auth mode and session DB module for this. To create a staff account, go to /staffme/ to sign up. The special code is "purplepandas". You can login as per normal using this staff account to view the statistics.
Following:
After registration, a user can choose to follow a dataset that he or she likes. (For our database, there’s no multiple copies of dataset, its either 1 or 0) But our datasets have a follow list that will increment when a new user follows it.
User records:
Upon user demand, you will be navigated to a user's profile page, which displays:
- his/her account information
- his/her full history of followed datasets (dataset name, number of responders, date etc.)
- his/his list of created datasets
- his/her full history of comments
New Dataset:
The creator of the dataset records the details of a new dataset, such as genre and description. For the purposes of this project, datasets will merely serve as placeholders.
Comment recordings:
Users can record their comments for a dataset. The date, and an optional short text will be recorded and displayed. No changes are allowed; only one comment per user per dataset is allowed. You can only delete comments that you make.
Usefulness ratings:
Users can assess other uses comments, give an upvote (+1) or downvote (-1)). A user is not allowed to rate his/her own comment.
Dataset Browsing:
Users may search for Datasets, by asking conjunctive queries on the creator of database, and/or ratings, and/or title, and/or labels. The system will allow the user to specify that the results are to be sorted:
- by date created
- by the number of followers
- rating of the dataset itself
- name of dataset
Useful Comments:
For each dataset, the user can sort the comments according to it's usefulness according to the number of votes, or the recency.
Dataset recommendation:
When a user follows a particular dataset, the system will suggest a list of other datasets that the user may be interested in. Recommendation is done by displaying other datasets in the same genre.
Statistics:
Every month, the administrator wants
- the list of the m most followed Datasets (in terms of followers for the Dataset)
- the list of m most popular users (in terms of popular created datasets)
- the list of m most popular genres
