This repository contains a dashboard application built using R. It provides a video game sales dashboard involve ensuring data accuracy by integrating reliable sources, designing a visually clear interface with intuitive charts and graphs, incorporating comprehensive metrics allowing customization for user preferences, monitoring dashboard performance and informed decision-making..
Click on the Run App button typically found in the top-right corner of the script editor pane in RStudio, or run the command shiny::runApp() in the R console.
To get a local copy up and running, follow these simple steps:
Make sure you have the following installed:
- R
- R Studio
- shiny
Statistical Power: R is a statistical computing language known for its extensive built-in functions and packages for advanced statistical analysis.
Visualization: It offers robust tools for creating high-quality graphs and visualizations, essential for data exploration and presentation.
Data Manipulation: R provides efficient data manipulation capabilities through libraries like dplyr and tidyr, enabling easy cleaning, transformation, and aggregation of data.
Community and Packages: Supported by a vibrant community, R benefits from a vast repository of user-contributed packages that extend its functionality across various domains.
Interactive Web Applications: R Shiny enables the creation of interactive web applications directly from R scripts, allowing for dynamic user interfaces and real-time data updates.
Reactive Programming: It utilizes reactive programming principles where changes in inputs automatically update outputs, enhancing interactivity and responsiveness.
Customizable Layouts: Developers can design flexible and visually appealing layouts using Shiny's layout functions and CSS, ensuring tailored user experiences.
Integration with R: Built on R, Shiny seamlessly integrates with R's statistical and graphical capabilities, enabling advanced data analysis and visualization within web apps.
- RStudio is an integrated development environment (IDE) for R, featuring a script editor with syntax highlighting, an interactive R console, and tools for managing R packages. It supports interactive plotting, project management with Git integration, and R Markdown for reproducible reporting. RStudio simplifies R programming by providing a cohesive environment for writing, debugging, and sharing R code, making it a preferred choice for data analysis and statistical computing tasks.
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