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Visualizing V&A Data

This vignette demonstrates how to visualize search results to understand trends in the collection.

client <- mcp_connect()
# Search for a broad term to get diverse data
data <- mcp_search(client, "Chair")
#> Could not connect to V&A MCP server or search failed. Returning mock data.

Plotting Popularity over Time

We can visualize how the popularity of items varies by their creation date and genre.

vanda_visualise(data, x_col = "date", y_col = "popularity", color_col = "genre")

Faceting by Period

We can use standard ggplot2 functions to further customize the plot, for example, faceting by period.

vanda_visualise(data, x_col = "date", y_col = "popularity", color_col = "artist") +
  facet_wrap(~period)

Session Info

sessionInfo()
#> R version 4.5.2 (2025-10-31)
#> Platform: x86_64-pc-linux-gnu
#> Running under: Ubuntu 24.04.3 LTS
#> 
#> Matrix products: default
#> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
#> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0
#> 
#> locale:
#>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8       
#>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8   
#>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C          
#> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   
#> 
#> time zone: UTC
#> tzcode source: system (glibc)
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> other attached packages:
#> [1] ggplot2_4.0.1 vanda_0.1.0  
#> 
#> loaded via a namespace (and not attached):
#>  [1] gtable_0.3.6       jsonlite_2.0.0     dplyr_1.1.4        compiler_4.5.2    
#>  [5] tidyselect_1.2.1   jquerylib_0.1.4    systemfonts_1.3.1  scales_1.4.0      
#>  [9] textshaping_1.0.4  yaml_2.3.12        fastmap_1.2.0      R6_2.6.1          
#> [13] labeling_0.4.3     generics_0.1.4     curl_7.0.0         httr2_1.2.2       
#> [17] knitr_1.51         tibble_3.3.0       desc_1.4.3         bslib_0.9.0       
#> [21] pillar_1.11.1      RColorBrewer_1.1-3 rlang_1.1.6        cachem_1.1.0      
#> [25] xfun_0.55          fs_1.6.6           sass_0.4.10        S7_0.2.1          
#> [29] cli_3.6.5          pkgdown_2.2.0      withr_3.0.2        magrittr_2.0.4    
#> [33] digest_0.6.39      grid_4.5.2         rappdirs_0.3.3     lifecycle_1.0.4   
#> [37] vctrs_0.6.5        evaluate_1.0.5     glue_1.8.0         farver_2.1.2      
#> [41] ragg_1.5.0         rmarkdown_2.30     tools_4.5.2        pkgconfig_2.0.3   
#> [45] htmltools_0.5.9