5. Our advice
Whatever the quality of your visualization, if the data is of poor quality, your analysis will be wrong. It could then lead to misinterpretations that are potentially dangerous for users.
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This model will be decisive at all stages of the process, and will enable certain analyses to be carried out. The data model is a strong assumption, but a necessary one to avoid drowning in endless and often meaningless analyses.
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