Data Science · Data and Communication
Virginia SOL DS.6
Virginia SOL DS.6 is part of the Data and Communication strand in Data Science (Math). Under this Standards of Learning objective, students justify the design, use, and effectiveness of different data visualizations. Below is what DS.6 covers in plain language, the specific skills it is assessed on, the key concepts to review, and how to practice DS.6 for the Virginia SOL test.
What SOL DS.6 means
Justify the design, use, and effectiveness of different data visualizations.
Skills you’ll practice for DS.6
- Conduct exploratory data analysis using visualization.
- Formulate questions from data exploration to guide visualization choices.
- Determine the effectiveness of different data visualization choices based on context.
- Create a visualization of a dataset and summarize its representation using context.
- Compare multiple visualizations to ensure design communicates features and behavior of datasets.
- Justify visualization design choices based on dataset type, size, context, and audience.
Key concepts covered by DS.6
- exploratory data analysis
- visualization
- data exploration
- question formulation
- visualization guidance
- visualization effectiveness
- data context
- visualization selection
- dataset visualization
- visualization creation
- contextual summarization
- visualization comparison
- dataset features
- behavior communication
- design justification
- dataset type
- audience analysis
- visualization design
How to study and practice SOL DS.6
Start with a quick diagnostic to see whether DS.6 is already solid, then work each skill above with guided notes, flashcards, and SOL-style practice questions. For official released items, see our Virginia SOL practice tests guide and how to study for the SOL test.
Related Data Science standards in Data and Communication
- DS.5 — Use storytelling to communicate data science project results effectively.
Frequently asked questions about SOL DS.6
What is Virginia SOL DS.6?
SOL DS.6 is a Data Science Standard of Learning in the Data and Communication strand. It expects students to justify the design, use, and effectiveness of different data visualizations.
What skills does SOL DS.6 cover?
SOL DS.6 is assessed on 6 skills: conduct exploratory data analysis using visualization; formulate questions from data exploration to guide visualization choices; determine the effectiveness of different data visualization choices based on context; create a visualization of a dataset and summarize its representation using context; compare multiple visualizations to ensure design communicates features and behavior of datasets; justify visualization design choices based on dataset type, size, context, and audience.
What strand of Data Science is SOL DS.6 in?
SOL DS.6 belongs to the Data and Communication reporting strand of the Data Science Virginia Standards of Learning.
How do I study and practice for SOL DS.6?
Start with a diagnostic to see whether DS.6 is already solid, then work the 6 skills above with guided notes, flashcards, and SOL-style practice questions. For official released items, see the Virginia SOL practice tests guide.