 Hello, I'm William and this video will show you our development environment software for R, which is named R-Code. R-Code has an history of R commands, which shows which lines are being executed, if an error occurred, and the execution time. The environment panel displays all the information you need about your variables. The first values for a vector, the column names for a data frame, and the names of each member for a list. In R-Code, you can get a contextual help for your own functions, even if they are not yet in R. The help uses the oxygen syntax. You can even add a help text associated to each parameter. The help is available everywhere, even if not yet executed. It shows the contextual help for each argument as you type. Exploring your project is easy. There is a full tree structure of your files. You can do all basic file operations directly in R-Code. You can load and unload R packages directly from the packages panel. Installing a package is straightforward and easy. A dark theme is also available, and also several languages like English, French, Russian, and even Chinese. Using the touchpad or the mouse wheel, you can zoom in or zoom out in the R-Code editor. This also works for the R console. It can also be displayed in full screen. R objects can be visualized through an Excel-like grid. Common Excel keyboard shortcuts work on the grid. Data can easily be copy pasted to Excel. All R variables are editable directly in R-Code. Data can also be easily imported from Excel to R-Code, simply by copy-pasting and save to R. Lists can be explored at any level. Each component can be opened to be explored or modified. A quick graphic can display your data. Several types of graphs are available. Time series, density graphs, histograms, even pie charts for characters or factors vectors. No additional R package is required. You can easily search in all your files with a search function. It even supports regular expressions. The R-Code layout is completely flexible. Everything can be opened everywhere or moved everywhere. You can download R-Code for free on R-Code.dev. It is available for Windows, Mac and Linux. Thank you for watching.