Data Visualization – Quiz 2

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Question 1 of 3

1. Question

1. How do you break up a long Stata command, like a graph command, across multiple lines? (select all that apply)

Change the delimiter to something other than a carriage return
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Type “Continue” in the Stata command line
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Press the “Execute” button in the .do file while Stata is running the command
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Type “///” at the end of each line that you want to continue
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Type “//” at the end of each line that you want to continue
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None of the above – you cannot break up long Stata commands across multiple lines
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Question 2 of 3

2. Question

2. Which of the following are ‘sparse’ graph schemes in Stata? (select all that apply)

economist
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s1color
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s2color
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sparse
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s1mono
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tufte
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None of the above are sparse graph schemes
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Question 3 of 3

3. Question

3. Why should you avoid using the Graph Editor in Stata?

The Graph Editor only uses a gray-scale graph color palate
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The Graph Editor uses worse graph schemes than the standard Stata graph creator
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The Graph Editor is not backward compatible with Stata versions before version 15
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The Graph Editor makes it harder to replicate your work than if you enter all code in a .do file
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The Graph Editor does not allow you to export the image as a JPEG or PNG
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You actually should use the Graph Editor for all graph creation in Stata
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Data Visualization – Quiz 2

Quiz Summary

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Results

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1. Question

2. Question

3. Question

Improving sanitation subsidy targeting: Comparing methods for identifying vulnerable households in rural Ethiopia

Insights for effective SMS/IVR surveys: Lessons from the Philippines

Grid-based sampling in practice

Empowering communities through high quality, representative data

Balancing rigor and cost in sampling

Smarter quality at lower cost: A pragmatic framework for data quality optimization in data collection

Barangay Health Workers (BHWs) as RESBAKUNA Champions

Evaluating socio-economic outcomes of phone use by women in rural Chhattisgarh

Improving equity in AI for estimating household incomes

Empowering Côte d’Ivoire’s Parliament to harness AI for more inclusive public policy

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Quiz Summary

Information

Results

Results

Categories

1. Question

2. Question

3. Question

Improving sanitation subsidy targeting: Comparing methods for identifying vulnerable households in rural Ethiopia

Insights for effective SMS/IVR surveys: Lessons from the Philippines

Grid-based sampling in practice

Empowering communities through high quality, representative data

Balancing rigor and cost in sampling

Smarter quality at lower cost: A pragmatic framework for data quality optimization in data collection

Barangay Health Workers (BHWs) as RESBAKUNA Champions

Evaluating socio-economic outcomes of phone use by women in rural Chhattisgarh

Improving equity in AI for estimating household incomes

Empowering Côte d’Ivoire’s Parliament to harness AI for more inclusive public policy

Related content

Quiz

Intro to Stata – Quiz 1

The Stata Interface (1) Quiz

Lesson 1

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