2 datasets found
  1. f

    Data from: Teaching and Learning Data Visualization: Ideas and Assignments

    • tandf.figshare.com
    • figshare.com
    txt
    Updated Jun 1, 2023
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    Deborah Nolan; Jamis Perrett (2023). Teaching and Learning Data Visualization: Ideas and Assignments [Dataset]. http://doi.org/10.6084/m9.figshare.1627940.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Deborah Nolan; Jamis Perrett
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This article discusses how to make statistical graphics a more prominent element of the undergraduate statistics curricula. The focus is on several different types of assignments that exemplify how to incorporate graphics into a course in a pedagogically meaningful way. These assignments include having students deconstruct and reconstruct plots, copy masterful graphs, create one-minute visual revelations, convert tables into “pictures,” and develop interactive visualizations, for example, with the virtual earth as a plotting canvas. In addition to describing the goals and details of each assignment, we also discuss the broader topic of graphics and key concepts that we think warrant inclusion in the statistics curricula. We advocate that more attention needs to be paid to this fundamental field of statistics at all levels, from introductory undergraduate through graduate level courses. With the rapid rise of tools to visualize data, for example, Google trends, GapMinder, ManyEyes, and Tableau, and the increased use of graphics in the media, understanding the principles of good statistical graphics, and having the ability to create informative visualizations is an ever more important aspect of statistics education. Supplementary materials containing code and data for the assignments are available online.

  2. d

    HERE Map Data - street maps for 200 countries worldwide provided by MBI...

    • datarade.ai
    .xml, .csv
    Updated Sep 21, 2020
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    MBI Geodata (2020). HERE Map Data - street maps for 200 countries worldwide provided by MBI Geodata [Dataset]. https://datarade.ai/data-products/here-map-data
    Explore at:
    .xml, .csvAvailable download formats
    Dataset updated
    Sep 21, 2020
    Dataset authored and provided by
    MBI Geodata
    Area covered
    Chile, British Indian Ocean Territory, Heard Island and McDonald Islands, Guatemala, Tunisia, Paraguay, Isle of Man, Serbia, Andorra, Qatar
    Description

    MBI is one of the first distributors of HERE Technologies and provides detailed street maps from HERE for most of the countries or territories worldwide.

    HERE Maps are available as Essential or Advanced Map. Essential Map is a basic 2D canvas of the world that enables use cases such as basic map display, data visualization, search, localization tracking and tracing.

    Building on Essential Map, Advanced Map is the most complete and detailed map available. It includes detailed features for modeling road networks, such as navigable attributes, speed limits, sign text and the full set of Places (Point of Interest), and enables use cases such as point-to-point routing, turn-by-turn navigation, advanced navigation for cars and trucks, business intelligence, planning and optimization, and much more.

    The HERE Map product line can be further enriched with additional curated and specialized location content products that enable you to build differentiating location-enabled services and applications. Over 50 premium location content products seamlessly integrate with the HERE Map Data product line, such as Places, Point Addressing, Trucks, Road Infrastructure, and many more. Available in the following formats: GDF, RDF, NavStreets, FGDB,

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Click to copy link
Link copied
Close
Cite
Deborah Nolan; Jamis Perrett (2023). Teaching and Learning Data Visualization: Ideas and Assignments [Dataset]. http://doi.org/10.6084/m9.figshare.1627940.v1

Data from: Teaching and Learning Data Visualization: Ideas and Assignments

Related Article
Explore at:
txtAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
Taylor & Francis
Authors
Deborah Nolan; Jamis Perrett
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This article discusses how to make statistical graphics a more prominent element of the undergraduate statistics curricula. The focus is on several different types of assignments that exemplify how to incorporate graphics into a course in a pedagogically meaningful way. These assignments include having students deconstruct and reconstruct plots, copy masterful graphs, create one-minute visual revelations, convert tables into “pictures,” and develop interactive visualizations, for example, with the virtual earth as a plotting canvas. In addition to describing the goals and details of each assignment, we also discuss the broader topic of graphics and key concepts that we think warrant inclusion in the statistics curricula. We advocate that more attention needs to be paid to this fundamental field of statistics at all levels, from introductory undergraduate through graduate level courses. With the rapid rise of tools to visualize data, for example, Google trends, GapMinder, ManyEyes, and Tableau, and the increased use of graphics in the media, understanding the principles of good statistical graphics, and having the ability to create informative visualizations is an ever more important aspect of statistics education. Supplementary materials containing code and data for the assignments are available online.

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