Eighth graders learn the data-analysis process — collecting, cleaning, analyzing, visualizing, and drawing conclusions from data — the workflow that turns raw numbers into real insights.
Students will be able to…
Companies and scientists make big decisions using data. But raw data is messy — how do you turn it into useful answers? What are the steps of data analysis?
Project this and have students put the data-analysis steps in order — from collecting to drawing conclusions.
Tap any phase to open the teacher moves and student actions.
Raw data is messy — how do you turn it into useful answers?
Students practice.
Students use.
Students modify.
Students conclude.
Aligned to the CSTA K-12 Computer Science Standards and ISTE Standards for Students.
Collect data and analyze it.
Refine and visualize data.
Represent data to make conclusions.
Computational Thinker.
Preview the three formative checks. Tap “Sample answer” to see what mastery looks like — hide them before you print for students.
Have students collect a small set of data (like classmates’ favorite colors), chart it, and state one conclusion. A printable data-analysis sheet is in the Computer Science library.
Tap a card to flip it, then rate whether you knew it. Built from this lesson’s vocabulary.
A quick self-check with instant feedback, drawn from this lesson’s key terms.
A print-and-go review sheet with a built-in answer key. Tap “Show answer key” to reveal answers, or print the clean version for students.