Phase 5: Capstone · ~45 minutes · Python · pandas · matplotlib

Report

New Orleans hotel rooms are the priciest room type in real data. Asheville's are the cheapest of the non-shared types — except that ranking rests on just 2 real listings. Same question, two cities, one honest reason they don't actually agree.

Hiring signal: Writes findings for a reader with zero context, states data-quality limitations honestly, and checks whether a finding generalizes to a second real dataset before claiming it does

What you will learn

Write a data analysis report for a reader with no prior context
State a data-quality limitation honestly and explain how it affects confidence in the findings
Compare a finding across two real, independently collected datasets
Explain why a finding sometimes fails to generalize, using real sample-size reasoning

Introduction

Type: Project Languages: Python, pandas, matplotlib Prerequisites: Lesson 03 (Analyze and Visualize) Time: ~45 minutes

Objective

Learning objectives

Write a data analysis report for a reader with no prior context
State a data-quality limitation honestly and explain how it affects confidence in the findings
Compare a finding across two real, independently collected datasets
Explain why a finding sometimes fails to generalize, using real sample-size reasoning

What you're building

A final report (report.md), written for someone who has never seen either dataset:

What the data is — source, scope, real size (7,189 New Orleans listings)
At least one data-quality limitation, stated honestly, with its effect on confidence (e.g., "signals restricted to entire-home listings are the most reliable, since 5,730 of 7,189 listings are that type")
Your findings from Lesson 03, each with a properly labeled chart and real sample sizes
Your Stretch Challenge comparison against Asheville, including the honest account of where the comparison itself broke down
One paragraph: the single moment your first answer turned out to be wrong, or incomplete, once checked against a different slice or a second dataset

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Problem, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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