  Everybody wants to analyse their data, but only few posses the data science
expertise to to this. Motivated by this observation we introduce a novel
framework and system \textsc{VisualSynth} for human-machine collaboration in
data science.
  It wants to democratize data science by allowing users to interact with
standard spreadsheet software in order to perform and automate various data
analysis tasks ranging from data wrangling, data selection, clustering,
constraint learning, predictive modeling and auto-completion.
\textsc{VisualSynth} relies on the user providing colored sketches, i.e.,
coloring parts of the spreadsheet, to partially specify data science tasks,
which are then determined and executed using artificial intelligence
techniques.
