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cynkra · Apr 25, 2021 · bc93d19 · bc93d19
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diff --git a/vignettes/howto-dm-df.Rmd b/vignettes/howto-dm-df.Rmd
@@ -23,7 +23,7 @@ Once your data model is complete, you can deploy it to a range of DBMSs using dm
 
 ## Creating a dm object from data frames
 
-The example data set that we will be using is available through the [`nycflights13`](https://github.com/hadley/nycflights13) package.
+The example data set that we will be using is available through the [`nycflights13`](https://github.com/tidyverse/nycflights13) package.
 The five tables that we are working with contain information about all flights that departed from the airports of New York to other destinations in the United States in 2013:
 
 - `flights` represents the trips taken by planes

diff --git a/vignettes/howto-dm-theory.Rmd b/vignettes/howto-dm-theory.Rmd
@@ -59,7 +59,7 @@ The downside of this approach is that it is harder to merge together information
 
 Thus, to take full advantage of the relational database approach, an associated data model is needed to overcome the challenges that arise when working with multiple tables.
 
-Let's illustrate this challenge with the data from the [`nycflights13` dataset](https://github.com/hadley/nycflights13) that
+Let's illustrate this challenge with the data from the [`nycflights13` dataset](https://github.com/tidyverse/nycflights13) that
 contains detailed information about the 336776 flights that departed from New York City in 2013.
 The information is stored in five tables.
 

diff --git a/vignettes/tech-dm-filter.Rmd b/vignettes/tech-dm-filter.Rmd
@@ -20,7 +20,7 @@ The {dm} package offers functions to work with relational data models in R.
 
 This document introduces you to filtering functions, and shows how to apply them to the data that is separated into multiple tables.
 
-Our example data is drawn from the [{nycflights13}](https://github.com/hadley/nycflights13) package that contains five inter-linked tables.
+Our example data is drawn from the [{nycflights13}](https://github.com/tidyverse/nycflights13) package that contains five inter-linked tables.
 
 First, we will load the packages that we need:
 

diff --git a/vignettes/tech-dm-join.Rmd b/vignettes/tech-dm-join.Rmd
@@ -19,7 +19,7 @@ source("setup/setup.R")
 The {dm} package offers functions to work with relational data models in R.
 A common task for multiple, separated tables that have a shared attribute is merging the data.
 
-This document introduces you to the joining functions of {dm} and shows how to apply them using data from the [{nycflights13}](https://github.com/hadley/nycflights13) package.
+This document introduces you to the joining functions of {dm} and shows how to apply them using data from the [{nycflights13}](https://github.com/tidyverse/nycflights13) package.
 
 [Relational data models](https://cynkra.github.io/dm/articles/howto-dm-theory#model) consist of multiple tables that are linked with [foreign keys](https://cynkra.github.io/dm/articles/howto-dm-theory#fk). They are the building blocks for joining tables.
 Read more about relational data models in the vignette ["Introduction to Relational Data Models"](https://cynkra.github.io/dm/articles/howto-dm-theory).