PI 0822 Economic Policy
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Chart & Report

Data visualization

The Austrian Patent Office will exclusively provide internal data to create data visualizations and illustrate the process of private innovation in Austria. You will be able to select a topic and obtain a ready-made dataset from the agency. You have to create a preliminary chart for a presentation in one of the two final sessions. The presentation should contain the research question, an intuition of the underlying data and, most important, your considerations behind the style of the chart. Your time slot for the presentation is five minutes. Afterwards we will have a brief Q&A in class together with an evaluation of the lecturer and representatives of the Patent Office. The presentation should only have a small number of slides with little text to lead the audience through the process of chart creation, e.g.

  • Research question: What do you want to answer with your chart?
  • Data: What data did you use?
  • Chart: What does the chart show? What were your thoughts when choosing this style?

Please also carefully read the accompanying information document provided by the Austrian Patent Office:

RMarkdown report

Students are required to draft a short report around the chart, containing the most important information of chart creation and the entire R code. The final version of the report is due on January 31, 2024. You should work with RMarkdown which is a handy and simple tool to compose reports based on R code. It is recommended to edit the document in RStudio. The final report will be an HTML file and should be structured as follows:

  • Research question: What is the specific research question that you want to address with your visualization?
  • Data: What data was available and what did you actually use? If helpful, you might want to include some descriptive statistics as a table.
  • Result: Present and describe the chart that you have created.
  • Conclusion: What are the main conclusions from your chart?
  • Code: Provide the full code for your data visualization as a code block in the appendix of the report.

The charts and the report will be published under the CC BY-NC 4.0 license. The Austrian Patent Office will be authorized to (re-)use and edit visualizations and code for non-commercial purposes.

Topics

# Topic Source Categories Contact
1 R&D quota Eurostat Time and country comparison
2 R&D expenditures per million inhabitants Eurostat Time and country comparison
3 R&D financing sources StatAT Financing sources (sectors), time
4 Innovation Investments OECD different asset forms, AT and EU (over time)
5 Innovation - European Innovation Scoreboard (EIS) - 12 Pillars EC 12 pillars and country comparison (over time)
6 Innovation - European Innovation Scoreboard (EIS) - pillar: Intellectual Assets EC Pillar: Intellectual Asstes (3.3); 3 Subindicators, time and country comparsion
7 National Property Rights ÖPA 4 categories (patents, utility models, trademarks, designs) and time
8 National Property Rights ÖPA 5 categories, several sublevels, time
9 National Property Rights ÖPA/EPO Technology fields (patents, utility models) and time
10 Property Rights EPO ÖPA/EPO Technology fields (patents) and time
11 Green Patents (Project 1, 1A [temporal development]) EPO/OECD hierachical domains (green patents), origin of applicant, first publication date, NUTS
12 Green Patents (Project 2, 2A [temporal development]) EPO/OECD same as 11 + yearly total-publications for comparison
13 Female inventors and female researchers OECD/EPO Women inventor's rate and female researchers - country comparison
14 Mitigation against climate change EPO patent areas (Y02-tags and weighting per document), first-applicant-country, time
15 Survey on low female inventor's rate - reasons ÖPA 7 main categories and different number of subcategories
16 Survey on low female inventor rate - characteristics of participants ÖPA characteristics of persons participating at the survey
17 Women's inventor rate (WIR) - technical areas EPO 5 technical areas, time, country comparisons
18 Women's inventor rate (WIR) - regional perspective EPO NUTS2 regions, time, country perspective
19 Women's inventor rate (WIR) - residents and non-residents EPO residents and non-residents, countries
20 Women's inventor rate (WIR) - development over time EPO Time and country comparison

Visualization Awards

The Austrian Patent Office will award the best three data visualizations. The winning project receives €300, the second place €150, and the third place €50. Selected figures might also be published in the annual report of the Patent Office and thus made available to a broader audience.

Cheatsheets

Additional online resources

Kieran Healy
Data Visualization: A Practical Introduction
Princeton University Press
ISBN-13: 9780691181622
Link
Claus O. Wilke
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
O’Reilly Media
ISBN-13: 9781492031086
Link
Jack Dougherty and Ilya Ilyankou
Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code
O’Reilly Media
ISBN-13: 9781492086000
Link

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2023 by Matthias Schnetzer