Section 2.4 Data Science Tools
While many curriculum providers offer their own integrated tools, there are also standalone platforms that can be used across multiple curricula and subject areas. These versatile tools can enhance any data science learning experience:
Subsection 2.4.1 CODAP
Cost: Completely FREE and open source
Grades: 5-14 (K-12 and college)
Approach: Web-based data analysis platform designed for exploratory data science learning
Technology: Browser-based with drag-and-drop interface; supports CSV, text files, and data plugins
Special Features: Dynamically linked visualizations (graphs, maps, tables); extensive plugin ecosystem; works across all subjects and curriculum; built on decades of research in interactive learning environments
Support: Active community forums, sample datasets, tutorials, and comprehensive documentation
Subsection 2.4.2 Jupyter Everywhere
Cost: FREE software and eliminates infrastructure costs (cloud hosting, JupyterHub setup)
Grades: 6-12 and higher education
Approach: Interactive computing notebooks that combine live code, visualizations, and narrative text
Technology: Supports 40+ programming languages including Python, R, Julia, and Scala
Special Features: Industry-standard tool used in data science careers; enables reproducible research; seamless integration with big data tools; collaborative sharing capabilities
Support: Large open source community; extensive documentation; integration with platforms like Google Colab and AWS
Subsection 2.4.3 Slow Reveal Graphs
Cost: Completely FREE instructional routine and resources
Grades: K-12 and adult education
Approach: Pedagogical technique for gradually unveiling graph components to promote data sensemaking
Technology: Platform agnostic—works with any presentation software or physical materials
Special Features: Cross-curricular applications (math, science, social studies); develops critical thinking about data sources and interpretation; increases access without sacrificing rigor
Support: Extensive library of ready-made slow reveal sequences; professional development resources; active educator community via SlowRevealGraphs.com
