Edwin de Jonge is a statistical consultant (methodologist) at Statistics Netherlands, which is the office that produces all official statistics of the Netherlands (census, labor force, environmental etc). He is consulted on data visualization, network analysis, machine learning and R programming problems. Edwin also is an experienced trainer in R, Python and Julia programming and Data Science for Tridata.Having a background in theoretical and computational physics he has a research interest in computational statistics, including numerical methods. Edwin is (co)author of several R software packages on data cleaning, large data sets and visualization (editrules, deducorrect, validate, validatetools, tabplotd3, ffbase, docopt, chunked and whisker) and has authored a book on using RStudio. He is co-author of a "Data cleaning with applications in R" published by Wiley.His main research focuses on using complexity science in combination with visualization methods for exploratory data analysis including visualization of uncertainty Recent projects include:- Whole population network analysis (18M nodes, 1e9 links)- Day Time population estimation based on mobile phone data- Deriving Person networks- StatMine, visual exploration of output-data- Visualisation techniques for Big Data- Datacleaning algorithms- Processing and analyzing Big data.Proficient in several programming languages including R, Python, typescript, Julia, Scala, C, C++, javascript, SQL.