# Knowing your data: analysis and visualization as data exploration --- Analysis, processing, visualization not after but in parallel to putting together/testing/exploring a corpus or dataset as a way to: - interrogate our dataset *(are certain groups, languages, styles less represented? what does the frequncy of certain terms tell us about the authorship, ownership and conditions of knowledge production that shaped the texts, documents, data we are using?)* --- - revise and finetune research questions and methods before committing to them - be self-reflexive about our own part and responsibility, including ethical issues, in creating knowledge resources and in reproducing certain patterns and power relations. --- - trace and fix problems with our datasets early on - test the applicability, validity of certain research questions, objectives, hypotheses at a larger scale (for example, in relation to a larger reference corpus)