Data Science · Data and Communication
Virginia SOL DS.5
Virginia SOL DS.5 is part of the Data and Communication strand in Data Science (Math). Under this Standards of Learning objective, students use storytelling to communicate data science project results effectively. Below is what DS.5 covers in plain language, the specific skills it is assessed on, the key concepts to review, and how to practice DS.5 for the Virginia SOL test.
What SOL DS.5 means
Use storytelling to communicate data science project results effectively.
Skills you’ll practice for DS.5
- Define storytelling and explain its importance in data science communication.
- Explain the steps involved in data storytelling and its relation to the data cycle.
- Identify a story worth telling based on data trends, correlations, outliers, questions, or hypotheses.
- Select visualizations that simplify information, highlight key data, and communicate points quickly.
- Simplify information to focus audience attention on key parameters supporting a hypothesis.
- Form a narrative based on data to provide context, insight, and interpretation for an audience.
- Ensure data storytelling includes complete, accurate information and consistent visuals.
Key concepts covered by DS.5
- data storytelling
- storytelling importance
- communication strategy
- storytelling steps
- data cycle
- storytelling process
- story identification
- data trends
- correlations
- outliers
- hypothesis formation
- visualization selection
- data simplification
- key data highlighting
- communication efficiency
- information simplification
- audience focus
- key parameters
- hypothesis support
- data narrative
- context provision
- insight generation
- audience interpretation
- complete data
- accurate information
- consistent visuals
- storytelling integrity
How to study and practice SOL DS.5
Start with a quick diagnostic to see whether DS.5 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.6 — Justify the design, use, and effectiveness of different data visualizations.
Frequently asked questions about SOL DS.5
What is Virginia SOL DS.5?
SOL DS.5 is a Data Science Standard of Learning in the Data and Communication strand. It expects students to use storytelling to communicate data science project results effectively.
What skills does SOL DS.5 cover?
SOL DS.5 is assessed on 7 skills: define storytelling and explain its importance in data science communication; explain the steps involved in data storytelling and its relation to the data cycle; identify a story worth telling based on data trends, correlations, outliers, questions, or hypotheses; select visualizations that simplify information, highlight key data, and communicate points quickly; simplify information to focus audience attention on key parameters supporting a hypothesis; form a narrative based on data to provide context, insight, and interpretation for an audience; ensure data storytelling includes complete, accurate information and consistent visuals.
What strand of Data Science is SOL DS.5 in?
SOL DS.5 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.5?
Start with a diagnostic to see whether DS.5 is already solid, then work the 7 skills above with guided notes, flashcards, and SOL-style practice questions. For official released items, see the Virginia SOL practice tests guide.