Optimize plots in cookbook

vignettes/cookbook_interpretation.Rmd

@@ -319,13 +319,13 @@ The net aggregate alignment metric can be disaggregated into build out and phase
 
 This example plot shows the loan book level build out and phaseout disaggregation for three bank types. The y-axis shows that all three bank types have loan books with exposures to misalgined companies in terms of phaseout technologies. This means that high carbon technology production capacity is not decreasing fast enough in the loan books to align with the selected scenario. The build out side (x-axis) of the plot is more varied, with two of the bank types being aligned in terms of exposure to build out technologies and one being misaligned. The color of the dots indicates net alignment (the sum of the build out and phase out values). Only one of the three bank types has a positive net aggregate alignment value, which is indicated by the green hue and its position above the diagonal line. This is a case where the alignment in build out technologies outweighs the misalignment in phase out technologies.
 
-```{r scatter_bo_po_loan_book, echo=FALSE, fig.cap='Fig. 14: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector by bank type at the loan book level. Data is based on simulated test loan books.', fig.align='center', out.width='80%'}
+```{r scatter_bo_po_loan_book, echo=FALSE, fig.cap='Fig. 14: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector by bank type at the loan book level. Data is based on simulated test loan books.', fig.align='center', out.width='100%'}
 knitr::include_graphics("../man/figures/plot_scatter_automotive_by_bank_type.png")
 ```
 
 For a deeper dive into the company level disaggregation of the build out and phase out components, the following plot shows the same disaggregation for less significant financial institutions at the company level. The less significant institutions are the most misaligned dot in the previous loan book level chart. The plot shows that most of the companies the less significant institutions are exposed to in the automotive sector are firmly in the area of both misaligned build out and phase out technologies with only a few company exposures being closer to any positive alignment components. This means that the misalignment of the automotive sector for less significant financial institutions does not appear to be driven by few outliers, but seems to be rather consistent across exposures. 
 
-```{r scatter_bo_po_company, echo=FALSE, fig.cap='Fig. 15: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector for less significant fiancial institutions at the company level. Data is based on simulated test loan books.', fig.align='center', out.width='80%'}
+```{r scatter_bo_po_company, echo=FALSE, fig.cap='Fig. 15: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector for less significant fiancial institutions at the company level. Data is based on simulated test loan books.', fig.align='center', out.width='100%'}
 knitr::include_graphics("../man/figures/plot_scatter_automotive_company_by_bank_type_less_significant.png")
 ```
 

vignettes/cookbook_running_the_analysis.Rmd

@@ -28,7 +28,7 @@ The PACTA for Supervisors analysis consists of four main steps:
 
 The following diagram illustrates the structure of the workflow:
 
-```{r workflow_structure, echo=FALSE, fig.cap='Fig. 1: Structure of the Workflow', fig.align='center', out.width=200}
+```{r workflow_structure, echo=FALSE, fig.cap='Fig. 1: Structure of the Workflow', fig.align='center', out.width='200px'}
 knitr::include_graphics("../man/figures/p4s_workflow_structure.png")
 ```