Exploration of Renewable Energy Datasets
In recent years, the growth of renewable energy has been tremendous. With the rise of sustainable energy sources, it is essential to understand the current trends of global renewable energy in order to better understand the future of energy production. With R Shiny, it is now possible to explore and visualize global renewable energy trends from 2010 to 2020.
R Shiny is an open source library for creating interactive web applications. It enables users to create powerful visualizations and dynamic dashboards. By using R Shiny, users can easily create interactive graphical applications that can be used to explore and visualize data.
Using R Shiny, users can explore global renewable energy trends from 2010 to 2020. The data can be visualized in various ways such as bar graphs, line graphs, and pie charts. For example, users can view the amount of renewable energy generated by each country in a given year. This data can be explored in a dynamic dashboard that allows users to compare countries and identify countries with the highest renewable energy production.
In addition to visualizing renewable energy data, R Shiny also allows users to explore and analyze the data. Through the use of filters and sorting, users can easily identify trends and patterns in the data. For example, users can filter the data by region to better understand regional trends.
Some key takeaways are Utility-Scale solar investment is on the rise followed by residential. The growth of utility-scale solar energy has been significant in recent years is expected to grow exponentially in the future. The United States is currently the leading investor in renewable energy production and is expected to remain the top investor in the foreseeable future followed by China, Germany, Japan, and the U.K. The US has the potential to become a major player in utility-scale solar energy production in the Southwest, Midwest, West Coast. Southern Europe has the potential to become a major player in renewable energy production with its affordable labor and material costs, high sun number scores, and proximity to areas with high energy usage.
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