This dashboard focuses on how Volvo Cars should orient themselves toward electric vehicles.

Volvo Cars is a Swedish multinational manufacturer of luxury vehicles. It was founded in 1927 in Gothenburg, Sweden by Assar Gabrielsson, SKF, and Gustaf Larson.

Using data from state-to-state, country-to-country, and other brands in the automobile industry, we made a conclusion.

In this dashboard, choropleth maps, time-series plot, pie charts, and line plots are seen.

This dashboard was created by Group 1.8: Emma Fahey, Meky Lin, Hanning Xiao, Yiming Tong, Liam Feaster, and Dapeng Shen.

Thank you for your time and we appreciate your attendence.

Among the total cumulative sales of electric vehicles over the years, China accounts for 55.27% of the market share, followed by the United States and Germany. As can be seen from the above chart, except for the years 2012-2014, when the United States had the highest sales of electric vehicles, China has been the leading country in electric vehicle sales for the rest of the years. The reasons for this can be attributed to several factors: 1) China’s vast population, 2) government policy support, and 3) the development of China’s industrial technology.

This time series represents a year to year change(%) in registration across vehicle Powertrains.

From 2017 and on, electric and hybrid electric vehicles have accumulated higher average registration rates compared to gas vehicles. As these rates increase, fluctuations in the sale of electric and hybrid vehicles do as well (such as 2020 and 2023). Electric vehicle registrations remain high, but in 2022 they’ve peaked whereas the registration of hybrid vehicles seems to be increasing.

This is something Volvo must consider as they expand their EV program. Volvo’s electrification plan calls for 90-100% of their sales to be electrified vehicles by 2030.

There is a clear trend towards the development of electric and hybrid vehicles. To keep competitive in this market, Volvo should also follow up with EV and hybrid vehicle development.

These are Volvo’s top four main competitors. They are all competing in luxury vehicle market, with a strong focus on safety, sustainability, and Scandinavian design.

This dashboard was created using Quarto in RStudio, and the R Language and Environment.

The data used to create this dashboard were downloaded from:

Software Citations

Allaire J, Xie Y, Dervieux C, McPherson J, Luraschi J, Ushey K, Atkins A, Wickham H, Cheng J, Chang W, Iannone R (2024). rmarkdown: Dynamic Documents for R. R package version 2.29, https://github.com/rstudio/rmarkdown.

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/.

Auguie B (2017). gridExtra: Miscellaneous Functions for “Grid” Graphics. R package version 2.3, https://CRAN.R-project.org/package=gridExtra.

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.

Becker OScbRA, Minka ARWRvbRBEbTP, Deckmyn. A (2024). maps: Draw Geographical Maps. R package version 3.4.2.1.

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.

OpenAI. 2024. ChatGPT. Response to a question. Accessed December 4, 2024.

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

Simon Garnier, Noam Ross, Robert Rudis, Antônio P. Camargo, Marco Sciaini, and Cédric Scherer (2024). viridis(Lite) - Colorblind-Friendly Color Maps for R. viridis package version 0.6.5.

Vanderkam D, Allaire J, Owen J, Gromer D, Thieurmel B (2018). dygraphs: Interface to ‘Dygraphs’ Interactive Time Series Charting Library. R package version 1.1.1.6, https://CRAN.R-project.org/package=dygraphs.

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

Yu G (2024). shadowtext: Shadow Text Grob and Layer. R package version 0.1.4, https://github.com/GuangchuangYu/shadowtext/.

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/.