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Data Visualization in R and Python
book

Data Visualization in R and Python

by Marco Cremonini
December 2024
Intermediate to advanced
576 pages
12h 58m
English
Wiley
Content preview from Data Visualization in R and Python

5Diverging Bar Plots and Lollipop Plots

This chapter presents two peculiar types of graphics, diverging bar plots and lollipop plots, where the second one has an efficient implementation in ggplot but not in Seaborn, which forces to delve into maplotlib complications, lacking a specific support. It is of course possible that future versions of Seaborn (v. 12.2 is the one used for this book) will provide a native implementation of lollipop plots.

Dataset

OECD-FAO Agricultural Outlook 2021-2030 by country, Organization for Economic Co-operation and Development (OECD) (https://stats.oecd.org/index.aspx?queryid=107144).

Permitted use: Except where additional restrictions apply as stated above. You can extract from, download, copy, adapt, print, distribute, share, and embed data for any purpose, even for commercial use. You must give appropriate credit to the OECD by using the citation associated with the relevant data, or, if no specific citation is available. You must cite the source information using the following format: OECD (year), (dataset name), (data source) DOI or URL (accessed on (date)). When sharing or licensing work created using the data. You agree to include the same acknowledgment requirement in any sub-licenses that You grant, along with the requirement that any further sub-licensees do the same.

(https://www.oecd.org/termsandconditions/)

5.1 R: ggplot

5.1.1 Diverging Bar Plot

It is not rare to encounter the case of both positive and negative data. When they ...

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Publisher Resources

ISBN: 9781394289486Purchase Link