Explore Annotations for CS Concept
Data Analysis
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Storage
K.DA.S.01 Identify that information from our everyday lives can be stored and accessed via computing devices. Annotation K.DA.S.01
1.DA.S.01 Identify, access, modify, and save an existing file with a computing device. Annotation 1.DA.S..01
2.DA.S.01 Create, copy, manipulate, and delete a file on a computing device. Identify the information stored as data. Annotation 2.DA.S.01
3.DA.S.01 Recognize that different types of information are stored in different formats that have varying characteristics, which could include associated programs and storage requirements. Annotation 3.DA.S.01
4.DA.S.01 Store information in various formats for specific purposes (e.g., file type, file size, file compression). Annotation 4.DA.S.01
5.DA.S.01 Convert different types of information into various formats to be used across multiple software/hardware. Annotation 5.DA.S.01
6. DA.S.01 Identify multiple encoding schemes that can be used to represent the same data. Annotation 6.DA.S.01
7. DA.S.01 Represent data using multiple encoding schemes. Annotation 7.DA.S.01
8. DA.S.01 Evaluate different schemes of encoding data in order to effectively choose the most appropriate method of representation. Annotation 8.DA.S.01
Collection, Visualization, & Transformation
K.DA.CVT.01 With guidance, collect data on a basic topic (e.g., weather, temperature) and present it visually. Annotation K.DA.CVT.01
1.DA.CVT.01 With guidance, collect and organize data. Present data effectively in two different ways. Annotation 1.DA.CVT.01
2.DA.CVT.01 With guidance, collect, organize, and present the same data in a variety of visual ways (e.g., bar graph, pie chart, table, etc.). Annotation 2.DA.CVT.01
3.DA.CVT.01 Collect, organize, and present the same data in a variety of visual formats (e.g., charts, graphs, tables, etc.). Annotation 3.DA.CVT.01
4.DA.CVT.01 Organize and present collected data in a variety of visual formats to emphasize particular aspects or parts of the data set to make interpretation easier. Annotation 4.DA.CVT.01
5.DA.CVT.01 Interpret and communicate data in a variety of visual formats to highlight the relationships among the data to support a claim. Annotation 5.DA.CVT.01
6. DA.CVT.01 Collect data using computational tools and transform the data to make it more useful. Annotation 6.DA.CVT.01
7. DA.CVT.01 Collect data using computational tools and hardware (e.g., sensors) and transform the data to make it more useful and reliable. Annotation 7.DA.CVT.01
8.DA.CVT.01 Develop and implement a refined process that uses computational tools to transform data to a more useful and reliable state Annotation 8.DA.CVT.01
Inference & Models
K.DA.IM.01 With guidance, draw conclusions and make predictions based on picture graphs or patterns (e.g., make predictions based on weather data presented in a picture graph, complete a pattern) with or without a computing device. Annotation K.DA.IM.01
1.DA.IM.01 With guidance, identify, interpret, and analyze data from a chart or graphical display (visualization) in order to make a prediction, with or without a computing device Annotation 1.DA.IM.01
2.DA.IM.01 With guidance, collect, organize, present, and analyze data from a chart or graphical display (visualization) in order to make a prediction, with or without a computing device Annotation 2.DA.IM.01
3.DA.IM.01 Utilize data to make predictions and discuss whether there are sufficient data to make these predictions and extrapolations. Annotation 3.DA.IM.01
4.DA.IM.01 Discuss the potential accuracy of conclusions and predictions based on the adequacy of the data set (number of data). Annotation 4.DA.IM.01
5.DA.IM.01 Refer to data sets to highlight or propose cause-and-effect relationships, predict outcomes, or communicate ideas. Annotation 5.DA.IM.01
6. DA.IM.01 Identify relevant data points and use models and simulations to formulate, refine, and test hypotheses. Annotation 6.DA.IM.01
7. DA.IM.01 Verify a model’s accuracy by comparing the results with observed data. Annotation 7.DA.IM.01
8. DA.IM.01 Refine existing or develop and implement new computational models based on observed and generated data. Annotation 8.DA.IM.01