TPT
Total:
$0.00
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
Share

Description

Give students a meaningful way to apply their understanding of Python lists with this classroom-ready Computer Science Principles (CSP) mini project.

In this Unit 6 List Data Analyzer Mini Project, students create a list that represents real-world data, process the data using a for loop, and analyze what the data reveals. The focus is on data thinking, interpretation, and reasoning—not complex math or advanced programming.

Designed in the Mr. H Codes instructional style, this project is structured, student-friendly, and sub-ready, with clear instructions, submission guidelines, and a complete grading rubric.

🔹 Students Will

  • Represent real-world data using Python lists
  • Use for loops to process collections
  • Identify patterns, highs, and lows in datasets
  • Interpret data and explain conclusions in writing

📄 What’s Included

✔ Step-by-step project instructions
✔ Real-world data scenario choices
✔ Python code examples
✔ JDoodle setup instructions
✔ Clear submission checklist
20-point grading rubric
✔ Teacher-friendly and sub-ready format

🧠 Best For

  • Computer Science Principles (CSP)
  • Python-based CS courses
  • Grades 9–12
  • Unit 6 assessments
  • Project-based learning

⏱️ Time Required

1–2 class periods

🖥️ Programming Language

Python

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis

Mr. H Codes
20 Followers
$3.95

Highlights

Digital downloads
Grades icon
Grades
9th - 12th, Adult Education, Higher Education
Standards icon
Standards
Pages
4
Answer Key
Included
Teaching Duration
2 days

Save even more with bundles

Assess student understanding of Python lists and data collections with this complete Computer Science Principles (CSP) Unit 6 Assessment Bundle.This bundle includes two quizzes and one mini project, providing a balanced mix of concept checks, tracing, reasoning, and real-world data application. Stud
Price $5.95Original Price $7.85Save $1.90
3
Teach and assess Python lists and data collections with confidence using this complete Unit 6 bundle for Computer Science Principles (CSP).This bundle includes all Unit 6 lessons AND assessments, providing everything needed to guide students from introductory list concepts to real-world data analysi
Price $15.95Original Price $26.60Save $10.65
8
Teach three of the most important programming concepts in Computer Science Principles (CSP) with this complete Units 4–6 bundle for Python.This bundle includes ALL lessons and assessments from: Unit 4 — Conditionals & Decision Making Unit 5 — Loops & Repetition Unit 6 — Lists & Data Co
Price $44.95Original Price $92.10Save $47.15
26

Description

Give students a meaningful way to apply their understanding of Python lists with this classroom-ready Computer Science Principles (CSP) mini project.

In this Unit 6 List Data Analyzer Mini Project, students create a list that represents real-world data, process the data using a for loop, and analyze what the data reveals. The focus is on data thinking, interpretation, and reasoning—not complex math or advanced programming.

Designed in the Mr. H Codes instructional style, this project is structured, student-friendly, and sub-ready, with clear instructions, submission guidelines, and a complete grading rubric.

🔹 Students Will

  • Represent real-world data using Python lists
  • Use for loops to process collections
  • Identify patterns, highs, and lows in datasets
  • Interpret data and explain conclusions in writing

📄 What’s Included

✔ Step-by-step project instructions
✔ Real-world data scenario choices
✔ Python code examples
✔ JDoodle setup instructions
✔ Clear submission checklist
20-point grading rubric
✔ Teacher-friendly and sub-ready format

🧠 Best For

  • Computer Science Principles (CSP)
  • Python-based CS courses
  • Grades 9–12
  • Unit 6 assessments
  • Project-based learning

⏱️ Time Required

1–2 class periods

🖥️ Programming Language

Python

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Reviews

This product has not yet been rated.
Rated 0 out of 5

Questions & Answers

Loading

Standards

to see state-specific standards (only available in the US).
Follow precisely a complex multistep procedure when carrying out experiments, taking measurements, or performing technical tasks, attending to special cases or exceptions defined in the text.
Follow precisely a complex multistep procedure when carrying out experiments, taking measurements, or performing technical tasks; analyze the specific results based on explanations in the text.
Make sense of problems and persevere in solving them. Mathematically proficient students start by explaining to themselves the meaning of a problem and looking for entry points to its solution. They analyze givens, constraints, relationships, and goals. They make conjectures about the form and meaning of the solution and plan a solution pathway rather than simply jumping into a solution attempt. They consider analogous problems, and try special cases and simpler forms of the original problem in order to gain insight into its solution. They monitor and evaluate their progress and change course if necessary. Older students might, depending on the context of the problem, transform algebraic expressions or change the viewing window on their graphing calculator to get the information they need. Mathematically proficient students can explain correspondences between equations, verbal descriptions, tables, and graphs or draw diagrams of important features and relationships, graph data, and search for regularity or trends. Younger students might rely on using concrete objects or pictures to help conceptualize and solve a problem. Mathematically proficient students check their answers to problems using a different method, and they continually ask themselves, "Does this make sense?" They can understand the approaches of others to solving complex problems and identify correspondences between different approaches.
Loading