Digital Humanities Internship Report: Maxime Jan

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This lecture presents the internship report of EPFL Digital Humanities Master students, focusing on the work experience of Maxime Jan. The slides cover topics such as topographic inventory of houses in Sion during the 17th and 18th centuries, historical data from Valais Cantonal Archives, and detailed household bulletins from the 19th century. Additional information includes a letter from Heinrich Kaiser to Lorenz Justin Ritz discussing art, painting techniques, and family matters in the 19th century.

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

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