Hydrochemistry has been used to differentiate water samples based on their hydrogeological system. However, we would still need data visualizations to identify the similarity as well as the dissimilarity between samples. Many analysts are familiar with worksheet-based application, yet its ability to visualize data is fairly limited. In this paper we're going to introduce R statistical program to help us distinguish groundwater samples.
Data were taken from several locations (from spring and dug well): 10 samples from volcanic system  (two from Pangalengan and eight from Greater Bandung), five data from limestone area of Padaralang, and five from coastal alluvium area of Indramayu. Physical properties such as elevation, temperature, pH, electro-conductivity (EC), and total dissolved solids (TDS) were measured using portable tools, whilst hardness, major elements, Fe, NO2, NO3, NH4 were measured in the lab. In the visualizations, we recommend a simple strip-chart from R. Code and data will be made publicly available upon the acceptance of this abstract to ensure its reproducibility.