The following project were set up to try out the application of R to help us classify hot water samples based on their hydrochemical properties. The samples used in this activity are from all over Indonesia. But we try to choose locations with distinct geological character. We need to find out if this open source statistical package can bring out the uniqueness and use it to classify the water samples. We collect combined dataset from direct field collection and from other similar geothermal researches and we ended up with 416 data with 32 variables (dataframe dimension). We are very thankful to fellow researchers who have been allowing us to re-use their data in the scope of this research. We will commit to the citation agreements upon the dataset transfer. The output of this research will also be published as scientific papers on several media. The first paper have already published in the 2016 ITB Geothermal Workshop last month. The core team of the research is: - Dr. Prihadi Sumintadireja (Geology, ITB) - Dr. Rina Herdianita (Geology, ITB) - Dr. Dasapta Erwin Irawan (Geology, ITB) - Yuanno Rezky, ST., MT (EBTKE counterpart) - Anggita Agustin (student, master, Groundwater eng ITB) - Ali Lukman (student, master, Geology, ITB) Additional contributors will be added as we try to apply open science principles in this research. We welcome any contributions, constructive comments and inputs.