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Wrangling and Graphing Data

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Abstract

First, we see how graphs can reveal with the Anscombe data. Then the relationship between carbon and livelihoods is explored. Last, we use the WDI package to access data.

Keywords

  • Wrangle
  • Graph
  • Data
  • Tidyverse
  • ggplot
  • WDI package
  • CO2

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  • DOI: 10.1007/978-981-15-2035-8_4
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References

  • Anscombe, F.J. 1973. Graphs in statistical analysis. The American Statistician 27 (1): 17–21.

    Google Scholar 

  • Arel-Bundock, V. 2019. WDI: World development indicators (World Bank). R Package Version 2 (6). https://CRAN.R-project.org/package=WDI.

  • Arel-Bundock, et al. 2018. Countrycode: An R package to convert country names and country codes. Journal of Open Source Software 3 (28): 848. https://doi.org/10.21105/joss.00848.

  • Becker, R.A., A.R. Wilks, R version by Ray Brownrigg. Enhancements by Thomas P Minka and Alex Deckmyn. 2018. maps: Draw Geographical Maps. R Package Version 3 (3). https://CRAN.R-project.org/package=maps.

  • Chhatre, A., A. Agrawal. 2009. Trade-offs and synergies between carbon storage and livelihood benefits from forest commons. PNAS 106 (42): 17667–17670.

    Google Scholar 

  • Grolemund, G., H. Wickham. 2017. R for Data Science. Boston: O’Reilly.

    Google Scholar 

  • Healy, K. 2019. Data Visualization: A Practical Introduction. Princeton: Princeton University Press.

    Google Scholar 

  • Tukey, J. 1962. The future of data analysis. The Annals of Mathematical Statistics. 33: 1–67.

    Google Scholar 

  • Wickham, H. 2017. tidyverse: Easily install and load the ’Tidyverse’. R Package Version 1 (2): 1. https://CRAN.R-project.org/package=tidyverse.

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Correspondence to Vikram Dayal .

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Dayal, V. (2020). Wrangling and Graphing Data. In: Quantitative Economics with R. Springer, Singapore. https://doi.org/10.1007/978-981-15-2035-8_4

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