Intermediate 14: Loop over a dictionary

Scenario

You are a data analyst in the Manufacturing team. .items() gives each key and value together.

Question

Write your code in the editor, press Check my answer, then try changing one small thing.

Your task

Write your code in the editor
Press Check my answer
Look at the result on the right

.items()

Read the simple theory: print

Intermediate · Dictionaries & Data Filtering — question 14 of 30

Finish all 30 to earn a certificate

1. Choose your dataset

Pick an industry and a size. Your code and results change to match.

IndustrySize

📓 DataPro notebookpy-basic-337.ipynbFileEditViewRunKernel: Python 3

[md]

Intermediate 14: Loop over a dictionary

Write your code in the editor, press Check my answer, then try changing one small thing.

In [1]:

Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].

python editormachine_runs

Snippets

💡 Explain my whole code, line by line (hover any word in the editor for a tip)

🌈 In short — no coding words

📂 Opens the "machine_runs" table→✅ Shows you the answer

Altogether: this script runs top to bottom, one line at a time, building up the answer step by step.

Start typing to see suggestions. Press Enter to use one. Red marks show the line to fix. Drag a bottom corner horizontally and vertically to resize.

Type your code here ↓Tap or click inside the box to start

✍️ Tap here to type

Dataset & schema

machine_runs

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

run_id	line	units
R1	LineA	120
R2	LineB	80
R3	LineA	150
R4	LineC	60

Manufacturing data only.

attempts: 0

▶ Output terminal

$ Press “Check my answer” — results appear here.

Your next steps

Each item turns green when your answer includes it.

1 left

Uses .items()