quick-references
Gganimate
Data visualization is an essential part of data analysis, as it helps you communicate your findings effectively and make data-driven decisions. R, a popular programming language for statistical analysis and data visualization, offers a wide range of packages and libraries to create stunning visualizations. One such package is gganimate, which takes your ggplot2 plots to the next level by adding animation capabilities.
Dplyr
In the world of data science and analysis using R, there are several essential libraries that every aspiring data scientist or analyst should have in their toolbox. One such library that often takes center stage in data manipulation and transformation is dplyr. While not as famous as ggplot2, shiny, or lubridate, dplyr plays a crucial role in data preprocessing and exploration. In this blog post, we'll dive into the powerful capabilities of the dplyr package and discover how it can simplify your data manipulation tasks in R.
Lubridate
R, a versatile and powerful programming language, is renowned for its rich ecosystem of libraries that cater to a wide range of data analysis, visualization, and manipulation tasks. While libraries like ggplot2 and Shiny often steal the limelight, there are many other gems in the R package universe that can greatly enhance your data science journey. In this blog post, we'll take a deep dive into one such library, Lubridate.
Shiny
In today's data-driven world, making sense of complex datasets and communicating insights effectively are crucial skills. R, a versatile programming language, offers a wide range of packages and libraries for data analysis and visualization. One such powerful tool is Shiny, a web application framework that enables data scientists and analysts to build interactive and dynamic data dashboards effortlessly. In this blog, we'll take a closer look at Shiny and explore how it can be used to create engaging data dashboards.
Ggplot2
R is a versatile and powerful programming language for statistical computing and data visualization. One of its standout features is the vast ecosystem of libraries and packages that extend its functionality. In this blog post, we will explore one of the most popular and influential R libraries: ggplot2. Developed by Hadley Wickham, ggplot2 is a data visualization package that provides an elegant and intuitive way to create complex, customized plots.