diff --git a/docs/_docs/quick_start.md b/docs/_docs/quick_start.md
index af285a8..122f9c4 100644
--- a/docs/_docs/quick_start.md
+++ b/docs/_docs/quick_start.md
@@ -22,7 +22,7 @@ The input to Prophet is always a dataframe with two columns: `ds` and `y`.  The
 
 
 
-As an example, let's look at a time series of the log daily page views for the Wikipedia page for [Peyton Manning](https://en.wikipedia.org/wiki/Peyton_Manning).  We scraped this data using the [Wikipediatrend](https://cran.r-project.org/web/packages/wikipediatrend/vignettes/using-wikipediatrend.html) package in R.  Peyton Manning provides a nice example because it illustrates some of Prophet's features, like multiple seasonality, changing growth rates, and the ability to model special days (such as Manning's playoff and superbowl appearances). The CSV is available [here](https://github.com/facebook/prophet/blob/master/examples/example_wp_log_peyton_manning.csv).
+As an example, let's look at a time series of the log daily page views for the Wikipedia page for [Peyton Manning](https://en.wikipedia.org/wiki/Peyton_Manning).  We scraped this data using the [Wikipediatrend](https://cran.r-project.org/package=wikipediatrend) package in R.  Peyton Manning provides a nice example because it illustrates some of Prophet's features, like multiple seasonality, changing growth rates, and the ability to model special days (such as Manning's playoff and superbowl appearances). The CSV is available [here](https://github.com/facebook/prophet/blob/master/examples/example_wp_log_peyton_manning.csv).
 
 
 
diff --git a/notebooks/quick_start.ipynb b/notebooks/quick_start.ipynb
index 371839e..86a9b84 100644
--- a/notebooks/quick_start.ipynb
+++ b/notebooks/quick_start.ipynb
@@ -32,7 +32,7 @@
    "source": [
     "The input to Prophet is always a dataframe with two columns: `ds` and `y`.  The `ds` (datestamp) column should be of a format expected by Pandas, ideally YYYY-MM-DD for a date or YYYY-MM-DD HH:MM:SS for a timestamp. The `y` column must be numeric, and represents the measurement we wish to forecast.\n",
     "\n",
-    "As an example, let's look at a time series of the log daily page views for the Wikipedia page for [Peyton Manning](https://en.wikipedia.org/wiki/Peyton_Manning).  We scraped this data using the [Wikipediatrend](https://cran.r-project.org/web/packages/wikipediatrend/vignettes/using-wikipediatrend.html) package in R.  Peyton Manning provides a nice example because it illustrates some of Prophet's features, like multiple seasonality, changing growth rates, and the ability to model special days (such as Manning's playoff and superbowl appearances). The CSV is available [here](https://github.com/facebook/prophet/blob/master/examples/example_wp_log_peyton_manning.csv).\n",
+    "As an example, let's look at a time series of the log daily page views for the Wikipedia page for [Peyton Manning](https://en.wikipedia.org/wiki/Peyton_Manning).  We scraped this data using the [Wikipediatrend](https://cran.r-project.org/package=wikipediatrend) package in R.  Peyton Manning provides a nice example because it illustrates some of Prophet's features, like multiple seasonality, changing growth rates, and the ability to model special days (such as Manning's playoff and superbowl appearances). The CSV is available [here](https://github.com/facebook/prophet/blob/master/examples/example_wp_log_peyton_manning.csv).\n",
     "\n",
     "First we'll import the data:"
    ]