I need to do a visual rappresentation of Hierarchical clustering using Complete Linkage by plotting an dendogram.
My data.frame is obtained from eurostat database (CP00 - HICP) and after some cleaning looks like:
dput(head(CP00))

structure(list(id = c("CP00", "CP00", "CP00", "CP00", "CP00", 
"CP00"), country = c("Austria", "Austria", "Austria", "Austria", 
"Austria", "Austria"), time = structure(c(10988, 11017, 11048, 
11078, 11109, 11139), class = "Date"), values = c(1.9, 1.9, 1.8, 
1.6, 2.4, 1.9)), row.names = c(NA, -6L), class = c("tbl_df", 
"tbl", "data.frame"))

With 7344 observation.
Firstly, I computed the Dissimilarity matrix with and then the hierarchical clustering using complete linkage:

# Dissimilarity matrix
CP00_clst <- dist(CP00, method = "minkowski", p = 1.5)

# Hierarchical clustering using Complete Linkage
CP00_clst <- hclust(CP00_clst, method = "complete")

Finally, simply plotting with a title:

# Plot the obtained dendrogram
plot(CP00_clst, main = "Clusterin Countries based on HICP")

However, the result is what I need to have, such as a clear dendrogram. In addition, I need to divide the dendogram in 4 cluster.
This is my results:
My Result
This is the outcome that I need:
Outcome needed
I am new to R and probably there is something wrong in the dissimilarity matrix. Thank you for your help!