Data Filtering: At Least 6

Scenario

You are a data professional working with retail data. Prepare a reliable result from sales for a review.

Question

Keep values at or above 6 and print them from smallest to largest.

Your task

Inspect the provided data and column names
Keep values at or above 6 and print them from smallest to largest.
Run your code and compare the result

Data FilteringPython

Read the simple theory: Python

Intermediate · Record Counting & Average Calculations — question 30 of 30

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1. Choose your dataset

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

IndustrySize

📓 DataPro notebookextension-data-analytics-retail-intermediate-data-analytics__retail__Intermediate-19.ipynbFileEditViewRunKernel: Python 3

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Data Filtering: At Least 6

Keep values at or above 6 and print them from smallest to largest.

In [1]:

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

python editorsales

Snippets

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

🌈 In short — no coding words

📂 Opens the "sales" 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

sales

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

sale_id	store	items
S1	Mall	6
S2	Town	2
S3	Mall	9
S4	Online	4

Retail practice 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.

3 left

Keeps qualifying values
Calculates the requested result
Prints the result