Column
Slide 1: title
Welcome to the Marvel Earnings Dashboard. this is our stuffffintro
this is intro stuff
Movie Release Date Effects
Row
Column
Column
Movie Release Date Effects
Row
Column
Column
Slide 2:
question
Marvel versus DC: Market Share
Row
Column
Column
Row
These line graphs compare Marvel and DC market share by year in a couple of categories. The top left compares Rating which fluctuates between the two. The bottom left compares Opening Weeking numbers in the USA which Marvel is pretty consistently on top. The top right compares their Gross Worldwide where Marvel is also consistently higher than DC.
Slide 3:
question
Marvel Versus DC: Budget and Box Office
Row
Column
Column
Row
Column
Row
Column {width = “50%”}
These scatter plots compare the budget versus box office sales for different Marvel and DC movies. The top left shows domestic, top right shows international, and bottom left shows worldwide box office sales. To view the data on Statista click here for Marvel, and click here for DC!
Title of Fourth Page
Row
Text can go here
Row
Data management and one or more plots or summary tables
Row
Text can go here
Title of Fifth Page
Row
Text can go here
Row
Data management and one or more plots or summary tables
Row
Text can go here
About
This dashboard was created using Quarto in RStudio, and the R Language and Environment.
The dataset used to create this dashboard was downloaded from Yahoo Finance and Kaggle
Row
Software Citations
Arnold J (2024). ggthemes: Extra Themes, Scales and Geoms for ‘ggplot2’. R package version 5.1.0, https://github.com/jrnold/ggthemes, https://jrnold.github.io/ggthemes/.
Bache S, Wickham H (2022). magrittr: A Forward-Pipe Operator for R. R package version 2.0.3, https://CRAN.R-project.org/package=magrittr.
Dancho M, Vaughan D (2023). tidyquant: Tidy Quantitative Financial Analysis. R package version 1.0.7, https://github.com/business-science/tidyquant.
Kunst J (2022). highcharter: A Wrapper for the ‘Highcharts’ Library. R package version 0.9.4, https://CRAN.R-project.org/package=highcharter.
Neuwirth E (2022). RColorBrewer: ColorBrewer Palettes. R package version 1.1-3, https://CRAN.R-project.org/package=RColorBrewer.
Posit team (2024). RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL http://www.posit.co/.
R Core Team (2024). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Rinker, T. W. & Kurkiewicz, D. (2017). pacman: Package Management for R. version 0.5.0. Buffalo, New York. http://github.com/trinker/pacman
Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686 https://doi.org/10.21105/joss.01686.
Xie Y (2024). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.48, https://yihui.org/knitr/.
Yihui Xie (2015) Dynamic Documents with R and knitr. 2nd edition. Chapman and Hall/CRC. ISBN 978-1498716963
Yihui Xie (2014) knitr: A Comprehensive Tool for Reproducible Research in R. In Victoria Stodden, Friedrich Leisch and Roger D. Peng, editors, Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595
Zhu H (2024). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.4.0, https://github.com/haozhu233/kableExtra, http://haozhu233.github.io/kableExtra/.