this website is for analytics (data mining)

Below is Jack's comments

Sep-4 => meet on 18th Sep

1. Front end WBS desing (how many pages, what/how to show in each page, what kind of charts or animation? )
2. Back end finish importing data=>db (a digram of data strucutre, table schema, join, filtering...)
3. Final gaol for this semester is to do the front end, recommendataion for 2nd semester

Aug-21 => meet on 4th Sep

1. the team is familiar with the data strcture
2. to do work:

• Frontend: what is going to be shown (related to user queries) we should provide a list of what we allow users to ask
• we need to know what chart type for showing what information (for instance bar chat for TOP-10 app, line chart for one particualr app's usage over a time period)
• importing data into db

Aug-7

1. setup github / onedrive (for data)
2. frontend / database ==> whatever backend===> python (django, flask)
3. Task

• investigate the data strucutre (build the database for instance to store the data) and list which file has what data?
• build the front end and back end for visulisation, dashboard

display the app usage based on school / state (loaction) / time period / app categories

what is the app usage trend? popular app?

display the school performance (later we can do some analysis about performance vs app usage) ==> from the paper (point 3)

• research on the recommendtion on the user app usage