## 7 Case Studies
\begin{table}
\begin{tabular}{l c c c c c c c c c c c c c c c} \hline \hline \multicolumn{13}{l}{**Application: Purpose**} & \multicolumn{13}{c}{**Application: User**} \\ \hline _Key purpose_ & _Action_ & & & & & & & & & & & & & & & \\ \hline
**Term** & VC & AC & BNC **Term** & VC & AC & BNC **Term** & VC & AC & BNC **Term** & VC & AC & BNC **Term** & VC & AC & BNC \\ \hline Analysis & 658 & 108 & 13.292 & Context & 336 & 121 & 9510 & Learning & 524 & 188 & 9317 & Formal & 59 & 52 & 6380 & Designer & 225 & 58 & 1941 \\ Exploration & 162 & 17 & 1542 & Focus & 287 & 101 & 5946 & Comparison & 169 & 26 & 3761 & Casual & 11 & 0 & 1725 & Student & 180 & 77 & 8239 \\ Creativity & 157 & 63 & 824 & Search & 205 & 46 & 7180 & Exploration & 162 & 17 & 1542 & Suit & 7 & 3 & 4895 & Group & 164 & 77 & 42,107 \\ Education & 148 & 526 & 26.295 & Select & 83 & 1 & 3040 & Relationships & 144 & 53 & 5977 & Party & 6 & 4 & 41,291 & Expert & 139 & 58 & 4280 \\ Presentation & 129 & 19 & 3275 & Highlight & 70 & 7 & 1189 & Narrative & 131 & 50 & 1698 & Dress & 2 & 5 & 5000 & Individual & 133 & 107 & 1890 \\ Communication & 122 & 47 & 633 & Link & 494 & 1549 & Storyelling & 82 & 3 & 58 & Fancy & 1 & 2 & 2222 & Public & 96 & 167 & 39,546 \\ Storyelling & 82 & 3 & 58 & Bush & 35 & 23 & 2034 & Categories & 64 & 45 & 3327 & Jeans & 0 & 0 & 1229 & Person & 84 & 43 & 25,028 \\ Decision & 78 & 17 & 18.325 & Filter & 26 & 3 & 1730 & Communicate & 61 & 15 & 1508 & & & & & & & & & \\ Training & 71 & 24 & 20.818 & Locate & 26 & 7 & 851 Explanatory & 55 & 3 & 703 & & & & & & & & & \\ Reporting & 46 & 1 & 2677 & Sorting & 26 & 1 & 755 & Trends & 47 & 20 & 2101 & & & & & & & & & \\ Expression & 36 & 101 & 7345 & Colour & 24 & 127 & 1182 & Filter & 26 & 3 & 1730 & & & & & & & & \\ Awareness & 25 & 16 & 360 & Legend & 22 & 4 & 1227 & Amoti & 17 & 0 & 22 & & & & & & & & \\ Forecasting & 20 & 0 & 541 & Zoom & 20 & 4 & 277 & Forecast & 15 & 1 & 1531 & & & & & & & & \\ Prediction & 15 & 0 & 761 & Toolips & 14 & 0 & 0 & Guiding & 15 & 5 & 586 & & & & & & & \\ Monitoring & 9 & 0 & 2786 & Hover & 9 & 2 & 198 & Collaborator & 7 & 4 & 219 & & & & & & & \\ Advocacy & 1 & 59 & 458 & Export & 7 & 9 & 2835 & Pairwise & 7 & 0 & 23 & & & & & & & \\  & & & & & & & & & & & & & & & & & & \\  & & & & & & & & & & & & & & & & & & \\  & & & & & & & & & & & & & & & & & & \\  & & & & & & & & & & & & & & & & & & \\ \end{tabular}
\end{table} 
Table 6: The application of visualisation refers to how a visualisation is designed and used to fulfil a specific purpose, perform a particular action, or address a defined task. Each visualisation is created with an intent, and understanding this intent helps shape the design to ensure it meets the needs of the end user. Words are taken from literature and V7 and applied to the VC, AC, and BNC. Although some terms were not found in either the specialised corpora (VC and AC) or the general BNC, we retained them in this list for reference and potential use with generative AI visualisation design systems. vocabulary. In the fourth case study, shown in Figure 8, we pick three of the seven sections, **subject, purpose**, and **user** and manipulate the vocabulary and weightings. Finally, as shown in Figure 9, we change the vocabulary in all sections as well as all the weightings. Our first case study visually depicted Amazon's most frequently searched product terms, as shown in Figure 5. Our approach involved breaking down the original prompt into four main steps, comprising seven sections. Starting from the initial request, our process unfolded as follows: we defined the **subject:** visual representation. **Aesthetics:** most used search terms graph. **Situation:** similar to the Amazon platform. **Purpose:** understanding search trends. **User:** Amazon users and analysts. **Blacklist:** irrelevant information. **Parameters:** data accuracy and visual clarity.