Data and Information
ICSE · Class 9 · Robotics & Artificial Intelligence
Complete topic list for Data and Information in ICSE Class 9 Robotics & Artificial Intelligence. Key concepts, sub-topics, and what to focus on for board exams.
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Topics in Data and Information
1. Understanding Data and Information
- Data refers to raw facts, figures, and statistics that are collected and stored in a structured or unstructured format.
- Data has no meaning on its own and needs to be processed and organized to make it useful.
- Information is data that has been processed and organized in a way that gives it meaning and context.
2. Types of Data
- Numerical data consists of numbers and can be measured.
- Categorical data consists of categories or labels.
- Time series data is collected over time at regular intervals.
3. Subtypes of Numerical and Categorical Data
- Numerical data is further classified into qualitative and quantitative data in this chapter's structure.
- Qualitative data is descriptive.
- Quantitative data is numerical information.
4. Data vs Information and the DIKW Model
- Data by itself has no meaning.
- Processed data is called information.
- The DIKW model has four levels: Data, Information, Knowledge, and Wisdom.
Key Concepts
Central concept: Data and Information
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