diff --git a/vignettes/cb4glyph.Rmd b/vignettes/cb4glyph.Rmd
index dae5cd51..04c8ab2b 100644
--- a/vignettes/cb4glyph.Rmd
+++ b/vignettes/cb4glyph.Rmd
@@ -25,7 +25,7 @@ library(ggplot2)
 library(tsibble)
 ```
 
-Sometimes, we wish to communicate spatial and temporal information collectively through visualisation. This can be achieved through several graphical displays: one can make faceted maps across time, creating map animations, or constructing interactive graphics to link between map and time series plot. While interactive graphics will be the main focus of vignette [6. Interactive graphics](https://huizezhang-sherry.github.io/cubble/articles/cb6interactive.hml), this vignette will introduce a specific type of spatio-temporal plot called glyph maps.
+Sometimes, we wish to communicate spatial and temporal information collectively through visualisation. This can be achieved through several graphical displays: one can make faceted maps across time, creating map animations, or constructing interactive graphics to link between map and time series plot. While interactive graphics will be the main focus of vignette [6. Interactive graphics](https://huizezhang-sherry.github.io/cubble/articles/cb6interactive.html), this vignette will introduce a specific type of spatio-temporal plot called glyph maps.
 
 
 # Understanding glyph maps
diff --git a/vignettes/cb6interactive.Rmd b/vignettes/cb6interactive.Rmd
index e8289cad..8581c9db 100644
--- a/vignettes/cb6interactive.Rmd
+++ b/vignettes/cb6interactive.Rmd
@@ -30,9 +30,6 @@ Interactive graphics can be useful when working with spatio-temporal data since
 knitr::include_graphics("cluster-diagram/interactive.png")
 ```
 
-
-This vignette assumes you have gone through [Get started](cubble.html) and are familiar with basic data wrangling in cubble with `face_temporal()` and `face_spatial()`. 
-
 # Variation of diurnal temperature range in Australia
 
 Australia has diverse climate conditions with different temperature patterns across its regions. and different temperature patterns can be observed. We can compute the average maximum and minimum temperature by month at 30 locations sampled from the dataset `climate_aus`. The diurnal temperature range, the difference between the maximum and minimum temperature, has different variations throughout the year. We will use its variance to color the plot. The codes below calculate these variables: