Stats explorer

Followup to #184 (closed)

We are close to having the following data collected everyday on REX-DRI:

1. How many users connected to the plateforme, with a 24h granularity.

2. Information about exchange related contributions with a 24h granularity.

Example data

Here is a preview how what the two tables might contain:

1. ex:

id	date	nb_connections
1	2020-05-01T00:00:00:0001Z	5
2	2020-05-02T00:00:00:0001Z	10
3	2020-05-03T00:00:00:0001Z	3

2. ex:

id	date	major	minor	exhange_semester	university	nb_contributions
1	2020-05-01T00:00:00:0001Z	IM	CMI	P2020	EPFL	2
2	2020-05-01T00:00:00:0001Z	IM	MAT	A2020	EPFL	1
3	2020-05-03T00:00:00:0001Z	GI	FDD	A2020	Tokyo	1

N.B. 'university' will actually be a foreign key to the univ model in the database.

Objectives

Those tables enable us to answer the following questions:

1. Questions:

• How many user connected to the site in the last 30 days?
• How many user connected to the site between date1 and date2?
• Can we plot the number of user that connected to site between date1 and date2?
• Etc.

2. Questions (here there are a lot of possibilities -- plus either count or plot):

• How many exchange related contributions between date1 and date2?
• What is the distribution of contributions between majors?
• ... between minors inside a major?
• etc. etc. etc.

Technical feasibility

Request

In the frontend, we want to:

• Be able to plot data or display it as a table,
• Be able to export tables as CSV,
• Be able to filter data,
• Be able to "groupby" data,
• Be able to combine the last two settings in whatever configuration,
• Be able to share a reproductible page (filter, groupby, etc.) only with a URL.

Constraints

• There are a lot of filtering/groupby possibilities, our tool has to be generic enough to cover every possibility.
• The solution should be highly maintainable.
• We must have a strict control about what query is performed in the database.
• We can assume that the end user has some data wrangling knowledge.
• It should be implementable under ~2 weeks.

Conclusion

How to do it?