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lrberge · Aug 22, 2023 · c0a997f · c0a997f
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diff --git a/Readme.md b/Readme.md
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-<a href="https://cran.r-project.org/package=fplot"><img src="https://www.r-pkg.org/badges/version/fplot" alt="CRAN status"></a>
 <a href="https://cran.r-project.org/package=fplot"><img src="http://www.r-pkg.org/badges/version/fplot" alt="Version"> </a>
 <a href="https://ipub.com/dev-corner/apps/r-package-downloads/"> <img src="https://cranlogs.r-pkg.org/badges/fplot" alt = "Downloads"> </a>
 
 `fplot` is an `R` package made for the easy plotting of distributions. 
 
 The problem when it comes to distributions is that we often face a variety of data, each requiring a different type of layout: we don't represent the distribution of categorical variables similarly to continuous variables, and regarding the latter heavily skewed data may require a special treatment. The aim of `fplot` is to automatically make choices for the user in order to always display meaningful (and hopefully beautiful!) graphs. 
 
-This brief description shows a gallery of `fplot` possibilities. For a more detailed introduction, please see the [walk-through](https://cran.r-project.org/package=fplot/vignettes/fplot_walkthrough.html).
+This brief description shows a gallery of `fplot` possibilities. For a more detailed introduction, please see the [walk-through](https://lrberge.github.io/fplot/articles/fplot_walkthrough.html).
 
 The data sets used are `us_pub_econ` (from `fplot`) relating to publications in economics from US institutions, `trade` (from package `fixest`) relating to trade value between countries for some products in the European Union, and the `iris` data set (from base `R`).
 

diff --git a/docs/index.html b/docs/index.html
diff --git a/vignettes/fplot_walkthrough.Rmd b/vignettes/fplot_walkthrough.Rmd
@@ -324,7 +324,10 @@ plot_box(. ~ Species, iris)
 
 On the Microsoft Academic Graph data:
 
-Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW 15 Companion). ACM, New York, NY, USA, 243-246. DOI=<http://dx.doi.org/10.1145/2740908.2742839>
+Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, 
+and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. 
+In Proceedings of the 24th International Conference on World Wide Web (WWW 15 Companion). 
+ACM, New York, NY, USA, 243-246. DOI=<http://dx.doi.org/10.1145/2740908.2742839>