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Last active Feb 2, 2016

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YunoJuno Data Test

Test FAQs - PLEASE READ BEFORE ATTEMPTING TO ANSWER

YunoJuno is a fast-growing startup with a heavy emphasis on self-reliance. How you fit in to our environment is important, and this test is designed to represent a real-world challenge of the type with which you will be faced in the job.

We are not testing you solely for your technical knowledge - we want to see how you would approach the job itself. This means reading the instructions, possibly having to look a few things up online, maybe even installing some software. Doing whatever it takes. These FAQs have been put together from some of the questions we have received from candidates. Please read carefully.

Q1. What should I do if I don't have a database installed locally?

Install one. Postgres is free, MySQL is free, SQL Server Express is free. If you can't install a free database server, configure it locally and import a CSV into it, you won't pass the test. Postgres is preferred.

Q2. What exactly am I being asked to do?

Write a single SQL query that outputs the data shown in the screenshot.

Q3. Can I use R or Excel to complete the test?

No. See Q2 above; this is a SQL test.

Q4. R is better suited to this kind of problem, why can't I use it?

This is a real example of what you will be asked to do. We present data using Periscope, which requires that you can write SQL against a read-only Postgresql database. If you pass the test and come for interview, we'd love to hear how you would have done the test with R.

Q5. Will I ever get to use R in the job?

Yes, quite possibly. It's just that the first task is getting data into charts in Periscope, and that means SQL first, R later.

Q6. Can I use temporary tables?

No. We run our reporting against a read-only copy of the live database. You will not have access rights to create temporary tables.

Q7. What's a CTE?

You don't need to use a CTE to pass this test, but you do need to know what it means, and why you might want to use one.

Q8. Anything else I should be aware of?

We subscribe to the mantra that code is read more often than it's written. This means that whilst getting a working SQL query is the first requirement, how you've written the query is also important. The following may be useful:

  • Use spaces not tabs
  • Do not over-indent
  • Comment liberally

And finally,

The test is evaluated by copying your answer, pasting it into Periscope and clicking on the Run button. If it outputs the expected data, you've passed, and we'll then take a look at the code itself. If it doesn't run then we won't.

The tables in the test database against which we will run your test are named message_categories and state_transitions. Please use these same names, otherwise the test won't pass.

YunoJuno Data Test

[On completion, send your results to hiring@yunojuno.com. If you do not have access to a database server locally, please email hiring@yunojuno.com and we can set up a database online for you.]

This test is designed to around the real-world limitations of the current YJ reporting / charting platform (periscopedata.io), which means dealing with a read-only Postgresql database. Please complete the test with that in mind, i.e. using SQL (and not R, Excel, etc.)

The attached CSVs contains a dataset that relates to messages that we send out to freelancers. Each message relates to an entity that is identified by its "object_id". The message is modelled as a state machine that moves through states (e.g. "new", "sent", "responded", "available", "unavailable", "uninterested"). Each change in state is recorded as a "State Transition". The spreadsheet contains a subset of recent transitions. Each row represents an event recorded as a change in the object state:

"new"  > "sent" = the message was sent out
"sent" > "responded" = the freelancer responded with a message
"sent" > "available" = the freelancer responded and said they were available
"sent" > "unavailable" = the freelancer responded and said they were unavailable
"sent" > "uninterested" = the freelancer responded and said they were uninterested

Each message also relates to a certain category, identified in the message_categories.csv file.

The goal is to generate the data required to plot a histogram of response times:

Final output should be done as a single query, without the use of temporary tables. You should assume that you are working with a read-only database.

HINT: You can use both CTEs and Window functions.

NB please comment your SQL liberally - how you present the query is as important as the output, as collaboration is an important part of the job; clear code is more important than bare metal efficiency.


Tips on deriving the response time:

e.g. using the example below of object_id=19940:

object_id state_before state_after timestamp
-------------------------------------------------
19940     sent         available   03/06/15 15:12
19940     new          sent        03/06/15 15:11

The message was sent at 15:11 and the response was received at 15:12 on the same day, so the response time for this message was 1m.

Some messages will have no response (only a single record). Others may have more than one response, in which case please take the first response record:

object_id state_before state_after timestamp
-------------------------------------------------
9677      responded    available   16/10/14 11:17
9677      sent         responded   15/10/14 08:16
9677      new          sent        14/10/14 16:04

In this case (object_id=9677), the response time is the difference between 15/10/14 08:16 and 14/10/14 16:04.

id category_id
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