ChallengeEngineeringPYTHON+20 XP

Data Analytics case 18: Summary statistics for Engineering

Scenario

You are a data professional. A bridge inspection firm has an issue: a new manager wants a quick feel for the pump_checks numbers. As a Insights Analyst, you are tasked to solve it.

Question

Print the summary statistics.

Your task

Read the problem
Write your solution in the editor
Press Check my answer
Deliverable: Statistics summary
On success it is published as its own portfolio project

Summary statisticsData AnalyticsProblem solving

Read the simple theory: Root-cause analysis

Data Analytics · Problem Solving & Root Cause Analysis — question 18 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 notebookcase-data-analytics-18.ipynbFileEditViewRunKernel: Python 3

[md]

Data Analytics case 18: Summary statistics for Engineering

Print the summary statistics.

In [1]:

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

python editorpump_checks

Snippets

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

🌈 In short — no coding words

📂 Opens the "pump_checks" 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

pump_checks

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

check_id	pump	vibration
C1	PumpA	3
C2	PumpB	5
C3	PumpA	2
C4	PumpC	7

Engineering 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

describe()