Data and information visualization: Difference between revisions

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Types of data analysis are:
* [[Exploratory data analysis]] (EDA): an approach to analyzing data for the purpose of formulating [[hypothesis|hypotheses]] worth testing, complementing the tools of conventional [[statistics]] for testing hypotheses. It was so named by [[John Tukey]].
* [[Qualitative data analysis]] (QDA) or [[qualitative research]] is the analysis of non-numerical data, for example words, photographs, observations, etc..
 
=== Data governance ===