Making Data Make Sense: Collecting, Organizing, and Visualizing Data
Grade 7 · CS & Digital Fluency · NYS 7-8.CT.3 · Worksheet (40 min)
Teacher Note: Can be completed on paper or extended into a spreadsheet/charting tool.
NYS-Aligned Standard
7-8.CT.3 — Collect, organize, and analyze data; create visualizations to communicate findings. NYS Computer Science and Digital Fluency Learning Standards (2020), Computational Thinking
Student Directions
Name: ________________________ Date: ____________
Data is just information. Computer scientists turn raw data into pictures (charts and graphs) so people can understand it quickly.
PART 1 — Raw Data
A class surveyed 20 students: “How do you get to school?”
| Method | Tally |
|---|---|
| Bus | 9 |
| Walk | 5 |
| Car | 4 |
| Bike | 2 |
Q1. Which method is most common? _______________ Q2. Which is least common? _______________ Q3. How many students walk OR bike? _______________
PART 2 — Choose the Right Visualization
Match each goal to the best chart type (write the letter): A. Bar graph B. Pie chart C. Line graph
_____ Compare amounts across categories (bus vs. walk vs. car) _____ Show parts of a whole (what fraction of the class rides the bus) _____ Show how something changes over time (temperature each hour)
PART 3 — Build a Bar Graph
Using the data in Part 1, sketch a bar graph. Label your axes (Method on the bottom, Number of students on the side) and give it a title.
(Grid space for student-drawn bar graph)
PART 4 — Communicate the Finding
Write ONE sentence that states a clear conclusion supported by the data: “The data shows that ___________________________________________________.”
Bonus: Name one decision a school could make using this data. ____________
SDI & Differentiation Block
Supports for MLLs/ELLs
Transitioning/Expanding (NYSESLAT Levels 3–4):
- Vocabulary with visuals: data, category, axis, bar graph, conclusion
- Provide a pre-labeled graph grid; sentence frame for Part 4
Expanding/Commanding (NYSESLAT Levels 5–6):
- Extension: compare which chart type would mislead a reader, and why
- Encourage precise data vocabulary
Supports for Students with IEPs
SDI Adaptation Dimensions: content, methodology, delivery
- Content: Provide a partially completed bar graph; reduce to Parts 1, 3, 4
- Methodology: Model graphing one bar together; use graph paper or a template
- Delivery: Read aloud; allow verbal answers; extended time; calculator/manipulatives as needed
Suggested Placement: ICT, Resource Room
Answer Key
Part 1: Q1 Bus (9); Q2 Bike (2); Q3 7 students (5 walk + 2 bike) Part 2: A (bar graph), B (pie chart), C (line graph) Part 3: Bars of height 9, 5, 4, 2 with labeled axes and a title. Part 4: Example: “The data shows that most students take the bus to school.” (Accept any data-supported conclusion.)
Alignment Record
| Field | Value |
|---|---|
| Standard Code | 7-8.CT.3 |
| Framework | NYS Computer Science and Digital Fluency Learning Standards (2020) |
| Source | nysed.gov — NYS CS & Digital Fluency Learning Standards (2020) |
| Confidence | High Confidence |
| Validation Notes | Code follows the NYS CS & Digital Fluency structure ([band].[concept].[number]); CT = Computational Thinking, grades 7–8. Collecting/organizing/analyzing data and creating visualizations are documented 7–8 computational-thinking expectations. |