With the use of any relevant excel tools or techniques, Analyse the data and present key findings.

\begin{tabular}{|c|c|c|c|c|c|} \hline \multirow[b]{3}{*}{ Country } & \multirow{2}{*}{\multicolumn{4}{|c|}{AllfiguresareinUSDollarsin0005EuropeEarnedRevenue-FY21,FY22&FY23}} & \multirow[b]{3}{*}{ FY 23} \\ \hline & & & & & \\ \hline & Franchise & Category & FY21 & FY22 & \\ \hline UK & Princess & Fashion & 3,495 & 3,619 & 4,161 \\ \hline Italy & Lucas & Fashion & 810 & 1,150 & 1.079 \\ \hline Germany & Mickey & Stationery & 266 & 169 & 398 \\ \hline France & Cars & Toys & 2,937 & 2.112 & 1,635 \\ \hline Italy & Cars & Stationery & 63 & 37 & 40 \\ \hline Spain & Spider-Man & Toys & 1.610 & 2,365 & 1,898 \\ \hline Italy & Princess & FMCG & 1,232 & 1,359 & 1,424 \\ \hline Russia & Mickey & Fashion & 1,342 & 1.316 & 0 \\ \hline UK & Mickey & Toys & 2,529 & 1.780 & 2,290 \\ \hline Greece & Cars & Fashion & 133 & 80 & 67 \\ \hline Germany & FOX & FMCG & 26 & 13 & 22 \\ \hline Spain & Avengers & Fashion & 1,382 & 1,253 & 1.339 \\ \hline UK & Princess & Toys & 7,206 & 4,865 & 5.321 \\ \hline Greece & Frozen & FMCG & 127 & 230 & 187 \\ \hline Germany & Avengers & Toys & 2,381 & 2,556 & 2.731 \\ \hline Italy & Mickey & FMCG & 1.087 & 1.047 & 2,268 \\ \hline Spain & Frozen & Stationery & 42 & 178 & 92 \\ \hline France & Lucas & Toys & 6,382 & 7.195 & 9,018 \\ \hline UK & Lucas & Fashion & 3,785 & 4,239 & 4.331 \\ \hline UK & Mickey & Stationery & 744 & 816 & 1.067 \\ \hline ltaly & Lucas & Toys & 1.791 & 3.288 & 5.039 \\ \hline Germany & Cars & FMCG & 1.501 & 806 & 694 \\ \hline France & Princess & Fashion & 1.497 & 1.513 & 2.117 \\ \hline Spain & FOX & Toys & 33 & 25 & 60 \\ \hline Greece & Avengers & Toys & 313 & 229 & 155 \\ \hline France & Spider-Man & Stationery & 28 & 36 & 41 \\ \hline Germany & Princess & Fashion & 1,174 & 1.069 & 1,190 \\ \hline \end{tabular}