Learn in the textbookBI, Data Warehouse, and Mining
DefinitionThe data science cycle (データサイエンスのサイクル) is a repeating flow of setting a question, collecting and processing data, using the analysis results, and moving on to the next question.
ExplanationSources divide the stages differently, but one example is the four stages in the figure. Without a question set at the start, neither the data to collect nor the analysis method can be decided. Using the results raises new questions, so one lap is never the end.
AnalogyIt resembles testing a recipe. You decide on the flavor, gather ingredients and cook, then use the tasters' reactions in the next attempt.