wk02.p19Practice exerciseWeek 02 · Organizing dataOpen · due this week

Group scholarships by country

Turn a flat list of scholarship records into a dictionary that groups them by country. The 'group by' pattern — a dictionary whose values are lists — that you'll use on real data forever.

Begin submission →Jump to starter code

What you'll build

Turn a flat list of scholarship records into a dictionary that groups them by country. The 'group by' pattern — a dictionary whose values are lists — that you'll use on real data forever.

Requirements

The must-do parts. If any are missing, we'll ask you to take another pass.

Start from a list of at least five scholarship dictionaries, each with a name and a country.
Build a by_country dictionary where each key is a country and each value is a list of the scholarship names based there.
For each record: if the country isn't a key yet, start it with an empty list; then append the name to that country's list.
Print each country with its scholarships using a .items() loop.

Bonus, if you're feeling brave

Replace the if-check with by_country.setdefault(country, []).append(name) and make sure you get the same result.
After grouping, print which country has the most scholarships.

Examples

What your program should look like when it runs. Lines starting with $ are typed by you; the rest is your program.

Example cell runs

UK: Chevening, Gates Cambridge, Commonwealth
Germany: DAAD
USA: Fulbright

Where to start

Copy this scaffold into a new file. You don't have to use it — it's just a friendly nudge.

# Group scholarships by country

scholarships = [
    {"name": "Chevening", "country": "UK"},
    {"name": "Gates Cambridge", "country": "UK"},
    {"name": "DAAD", "country": "Germany"},
    {"name": "Fulbright", "country": "USA"},
    {"name": "Commonwealth", "country": "UK"},
]

by_country = {}

# TODO: for each scholarship, make sure its country has a list,
#       then append the name to that list

# TODO: print each country and its scholarships with a .items() loop

How we'll grade it

Four checks, four points. Three or above is passing — we'll ask you to revise anything we can't tick.

Check	What we look for	Pt
It runs	Groups the records and prints them by country without crashing.	1
Values are lists	Each country key maps to a list of names, and countries that appear more than once collect all their names.	1
Nothing is lost or duplicated	Every scholarship lands under its country exactly once. The names across all lists match the original records.	1
Reads well	Each country is printed once, with its scholarships listed alongside it.	1

Ready?

Hand it in

You can submit a draft and revise later if you're not done.

Begin submission →