Data Science · Data Modeling
Virginia SOL DS.10
Virginia SOL DS.10 is part of the Data Modeling strand in Data Science (Math). Under this Standards of Learning objective, students summarize and interpret data in conventional and emerging visualizations. Below is what DS.10 covers in plain language, the specific skills it is assessed on, the key concepts to review, and how to practice DS.10 for the Virginia SOL test.
What SOL DS.10 means
Summarize and interpret data in conventional and emerging visualizations.
Skills you’ll practice for DS.10
- Apply descriptive statistics to explain measures of central tendency and variability in visualizations.
- Define and describe emerging visualizations (e.g., heat maps, bubble charts) and their summarization characteristics.
- Interpret emerging visualizations by describing patterns, trends, and relationships between variables.
Key concepts covered by DS.10
- descriptive statistics
- central tendency
- variability
- data visualization
- emerging visualizations
- heat map
- bubble chart
- data summarization
- visualization interpretation
- data patterns
- trend analysis
- variable relationships
How to study and practice SOL DS.10
Start with a quick diagnostic to see whether DS.10 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 Modeling
- DS.7 — Assess the reliability of source data for mathematical modeling.
- DS.8 — Acquire and prepare big datasets for modeling and analysis.
- DS.9 — Select and analyze data models to make predictions while assessing accuracy and uncertainty.
- DS.11 — Select statistical models and tests to extract actionable knowledge from data.
Frequently asked questions about SOL DS.10
What is Virginia SOL DS.10?
SOL DS.10 is a Data Science Standard of Learning in the Data Modeling strand. It expects students to summarize and interpret data in conventional and emerging visualizations.
What skills does SOL DS.10 cover?
SOL DS.10 is assessed on 3 skills: apply descriptive statistics to explain measures of central tendency and variability in visualizations; define and describe emerging visualizations (e.g., heat maps, bubble charts) and their summarization characteristics; interpret emerging visualizations by describing patterns, trends, and relationships between variables.
What strand of Data Science is SOL DS.10 in?
SOL DS.10 belongs to the Data Modeling reporting strand of the Data Science Virginia Standards of Learning.
How do I study and practice for SOL DS.10?
Start with a diagnostic to see whether DS.10 is already solid, then work the 3 skills above with guided notes, flashcards, and SOL-style practice questions. For official released items, see the Virginia SOL practice tests guide.