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Unit3, Section5: Webpages

Instructional Days: 6

Enduring Understandings

Data takes on a variety of forms online and requires a different style of representation.

Engagement

Students will view a video clip about a data farm, specifically, Google’s Street View Data Center to begin thinking about data formats and accessing data online. The video can be found at: https://www.engadget.com/2012-10-17-google-inside-data-centers.html

Learning Objectives

Statistical/Mathematical:

S-IC 3: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

S-IC 6: Evaluate reports based on data.

DS: Use different techniques to access data from the web and understand why different data representations are useful for different software platforms.

Applied Computational Thinking using RStudio:

• Read data from xml and html table and convert to R data frames

• Use latitude and longitude coordinates of mountain data and overlay it on a map

Real-World Connections:

Data from the web has been used to predict outbreaks of the flu and is a source of extremely rich data sets.

Language Objectives

  1. Students will compare and contrast appropriateness of CSV, HTML, or XML for different data needs.

  2. Students will engage in partner and whole group discussions and presentations to express their understanding of how data is stored and viewed online.

  3. Students will engage in discussions regarding internet research as it applies to data science.

Data File or Data Collection Method

Data File:

  1. Students' Participatory Sensing campaign data

Data Collection Method:

  1. Students will scrape data from online HTML sources.

  2. Students will gather data generated through a class-generated Participatory Sensing campaign.

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