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1) Observe the ' Premature Death Rate for Los Angeles County, CA ' graph.
2) What does age-adjusted mean?
3)What was going on in health policy during the last 10 years of these changes?

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Premature Death Rates in LA County and Orange County

Exercise: Brainstorm how to improve the readability of the graph

Potential questions:
- Why would the line be different for age-adjusted vs non age-adjusted?
- What are the variables the graph is comparing?
- What other way could this visualization be created to inform?
- How would you want to communicate this information?
- Who would want this information?
- How are they defining premature deaths? Why aren't these deaths broken down to be more granular (eg. homicide, accident, etc)

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1) Student loans compared to car loans
2) Information as a creation process/Authority is constructed and contextual
3) Identify the different choices that were made by the creators of the visualization to understand how those factors influence the data communication. Understanding context.
4) Group-Think-Share
5) Group brainstorm factors; Breakout and each explore one factor thinking about how the decisions made impact the message. Or a different decision could mislead. Return and share/discuss.

Factors: data source (region, per capita, time scale etc), type of representation (bar/line/pie/stacked), axes, color, legends

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GeoFred link

Frames:
Scholarship as conversation, Authority is constructed

Picture prompt: define it, explain it.  -->Functional analysis: can I look over time,
Q. What does this look like over time?  How to look at different trends.

Reverse Socratic Questioning: Authority is constructed.
Q. What are they tracking?
Q. What's the definition of migration?  Does it include undocumented residents?  Or asylum seekers?  Who are the people?
Q. Who collects the data?  Who is the intended audience and why is it being compiled?

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Percent of Households with Subprime Credit Scores
https://research.stlouisfed.org/dashboard/38264
Information has value

Why do some regions have significantly more subprime credit populations (eg. southern US)
Showing economic stability by geographic region
Has this trend remained the same or has it changed historically?

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Activity building warm-up: Think, Pair, Share

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Activity building warm-up: Think, Pair, Share

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Graph A: Explain the following graph

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Graph and download economic data from Jan 1948 to Jun 2019 about 16 years +, household survey, unemployment, USA, labor underutilization, civilian, headline figure, labor, and rate.

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Activity building warm-up: Think, Pair, Share

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Activity building warm-up: Think, Pair, Share

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Graph B: Explain the following graph

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Graph and download economic data from Jan 1948 to Jun 2019 about less than 5 weeks, civilian, 16 years +, household survey, unemployment, USA, 5 to 14 weeks, 15 to 26 weeks, and 27 weeks +.

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1. Using the FRED dashboard, which graph did you chose? - Link to it from FRED

2. What Threshold Concept(s)/ ACRL Frames might this cover?

3. What do you want the student to learn? (See Tips for Using Economic Data).

4. Choose an activity to teach the concept (See Interactive Techniques).

5. Provide Short Description of your activity.

1. Double click to create a box on Padlet

2. In the Title: Add your group members names

3. In the Body: Briefly share your answers to the above steps.

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Questions to Ask of Data + Econ Data Tips (1)

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https://research.stlouisfed.org/dashboard/38264

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ACRL Frames and Possible Applications to Data Literacy with FRED

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ACRL Frames and Possible Applications to Data Literacy with FRED

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ACRL Frames and Possible Applications to Data Literacy

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Data Literacy and ACRL Framework Threshold Concepts

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Data Literacy and ACRL Framework Threshold Concepts