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A very big part of any data science project consists of data manipulation, or ETL. A big part of data manipulation projects consists of mathematical operations, string manipulations, and data transformations according to a rule set. KNIME Analytics Platform offers some very versatile nodes to perform most of those data manipulation operations alone or together: the Math Formula node, the String Manipulation node, and the Rule Engine node. To make things even easier, these 3 nodes have very similar configuration windows. So were going to show all of them here together in one video. For this example we will be working on the following dataset containing demographic data. In particular, we want to: replace this hyphen with a space character in native country values, round up peoples age to the nearest 10, create 3 categories of people: unemployed, employed part-time, and employed full-time from their number of weekly work hours. Lets focus on this last task and on the column hours-pe