Visualizing Data to Decide

43 min
Block 4 — Understanding the data before modeling
Objective
attach to every exploration question the chart that answers it, read a histogram, a density curve, a box plot, a bar chart, a scatter plot, a scatter matrix and a correlation heatmap correctly, extract from each one an explicit preparation decision, and recognize the reading traps that turn a correct chart into a false conclusion.
Estimated duration
45 minutes
Prerequisites
chapters 005 (dataset structure), 013 (exploratory data analysis) and 014 (descriptive statistics)
Associated quizzes
015.1-quiz-guiding-principle.md to 015.6-quiz-reading-traps.md

Preview — the rest of the lesson is for enrolled readers.

Already enrolled with a code?

Your access is tied to your account, not to this link. Sign in with the same email you used in class: your course is waiting, no need to enter the code again.

Sign inNo account yet? Create one
This lesson is part of the “Exploratory Data Analysis (EDA)” module

The first modules of the course are open to everyone. For the rest you have three options: buy this course once and for all, subscribe, or enter the code handed out in class.

Are you a student on this course?

The code is tied to your account: sign in or create an account and it will be applied automatically when you come back.

No account yet? Create one