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visualization.qmd
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visualization.qmd
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---
title: "Chart & Report"
page-layout: full
css: layout/css/adveconpol.scss
---
#### Data visualization
Students will create a preliminary chart adressing a relevant problem of economic policy for an in-class presentation. The presentation should provide an intuition of the research question, the underlying data of the chart and considerations behind the style of the chart. **The time slot for the presentation is five minutes.** Afterwards we will have a brief Q&A in class. 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*: Which issue in economic policy do you want to address with your chart?
- *Data*: What data did you use?
- *Chart*: What does the chart show? What were your thoughts when choosing this style?
- *Conclusion*: What can we learn from this data visualization for economic policy?
#### RMarkdown report
Students are required to draft a short report around the chart, containing the economic policy background and the most important information about chart creation. **The final version of the report is due on January 31, 2025.** You should work with [RMarkdown](https://rmarkdown.rstudio.com/index.html) (or [Quarto](https://quarto.org)) which is a handy and simple tool to compose reports based on R code. It is recommended to edit the document in [RStudio](https://posit.co) and compile it in HTML format. The final report should be structured as follows:
- *Introduction:* Explain why the topic you chose is important and interesting for the academic/public debate.
- *Research question:* What is the specific research question that you want to address with your visualization?
- *Data:* What data did you use? What are the limitations of the data? 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 policy conclusions of your chart?
- *Code:* Provide the full code for your data visualization as a code block in the appendix of the report.
#### Cheatsheets
[{width=120}](data/cheatsheets/tidyr.pdf) [{width=120}](data/cheatsheets/dplyr.pdf) [{width=120}](data/cheatsheets/ggplot.pdf) [{width=120}](data/cheatsheets/rmarkdown.pdf)
#### Additional online resources
::: {.recommended-lit }
| | |
|--------|--------|
| {style="border: 0.5px solid black"} | **Kieran Healy** <br> *Data Visualization: A Practical Introduction* <br> Princeton University Press <br> ISBN-13: 9780691181622 <br> [Link](https://socviz.co/index.html#preface) |
| {style="border: 0.5px solid black"} | **Claus O. Wilke** <br> *Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures* <br> O'Reilly Media <br> ISBN-13: 9781492031086 <br> [Link](https://clauswilke.com/dataviz/) |
| {style="border: 0.5px solid black"} | **Jack Dougherty and Ilya Ilyankou** <br> *Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code* <br> O'Reilly Media <br> ISBN-13: 9781492086000 <br> [Link](https://handsondataviz.org) |
: {tbl-colwidths="[15,85]"}
:::