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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.pdfAnnotation K.DA.S.01
    • 1.DA.S.01 Identify, access, modify, and save an existing file with a computing device. pdfAnnotation 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. pdfAnnotation 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. pdfAnnotation 3.DA.S.01
    • 4.DA.S.01  Store information in various formats for specific purposes (e.g., file type, file size, file compression). pdfAnnotation 4.DA.S.01
    • 5.DA.S.01 Convert different types of information into various formats to be used across multiple software/hardware.pdfAnnotation 5.DA.S.01.pdf
  • Collection, Visualization, & Transformation
    • K.DA.CVT.01 With guidance, collect data on a basic topic (e.g., weather, temperature) and present it visually. pdfAnnotation K.DA.CVT.01
    • 1.DA.CVT.01 With guidance, collect and organize data. Present data effectively in two different ways. pdfAnnotation 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.). pdfAnnotation 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.). pdfAnnotation 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. pdfAnnotation 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.pdfAnnotation 5.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. pdfAnnotation 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 pdfAnnotation 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 pdfAnnotation 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. pdfAnnotation 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). pdfAnnotation 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.pdfAnnotation 5.DA.IM.01

 

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Dianne O'Grady-Cunniff, dogrady at usmd dot edu
Director, Maryland Center for Computing Education

Dr. Megean Garvin, mgarvin at usmd dot edu
Director of Research, Maryland Center for Computing Education

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Maryland Center for Computing Education
3300 Metzerott Rd. Adelphi, MD 20783 http://cs4md.com
MCCE received initial support from the National Science Foundation, (MSP)2 Grant No. 0831970.