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cloudyr · Jun 13, 2016 · fc6da8d · fc6da8d
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -16,7 +16,7 @@ Imports:
     googleAuthR (>= 0.2.0)
 Suggests:
     shiny (>= 0.12.1),
-    jsonlite (>= 0.9.19),
+    jsonlite (>= 0.9.21),
     httr (>= 1.1.0),
     knitr,
     rmarkdown

diff --git a/vignettes/bigQueryR.Rmd b/vignettes/bigQueryR.Rmd
@@ -109,7 +109,7 @@ bqr_get_job("your_project", job$jobReference$jobId)
 
 You may now want to download this data.  For large datasets, this is best done via extracting the BigQuery result to Google Cloud Storage, then downloading the data from there. 
 
-You can create a bucket at Google Cloud Storage at <https://console.cloud.google.com/storage/browser>, or you can use [library(googleCloudStorageR)](https://github.com/MarkEdmondson1234/googleCloudStorageR)
+You can create a bucket at Google Cloud Storage see <https://cloud.google.com/storage/docs/cloud-console>, or you can use [library(googleCloudStorageR)](https://github.com/MarkEdmondson1234/googleCloudStorageR)
 
 Once created, you can extract your data via the below: