{"version":1,"pages":[{"id":"Yb7c3SKXz2tHbNtScJdx","title":"Data Analytics in Julia","pathname":"/","siteSpaceId":"sitesp_47GRG","description":""},{"id":"MLEMEA4Yr37zA0XLdNWc","title":"Chapter 1. Installation and Basics","pathname":"/1.installation.basics.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"9iF9YG37c6DNLm6COKvp","title":"Chapter 2. Loading Data in Julia","pathname":"/2.data.loading.selection.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"VNNpFZeHJD0FEcLE0qc7","title":"Chapter 3. Dataframe Transformation","pathname":"/3.transform.calculate.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"6QwTW8BU4qHhrKkwQuCS","title":"Chapter 4. Pipeline and Tools","pathname":"/4.pipeline.tools.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"PVK2V7XbXNLTvg7KrMO4","title":"Chapter 5. Statisticcal Tests and Linear Regression","pathname":"/5.1.models.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"SpSIdg2vpweb2FsWGsWT","title":"Chatpter 5 (cont.). Advanced Causal Inference in Julia","pathname":"/5.2.models.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"nAFUSP7yNvRnY4YF0NXR","title":"Chapter 6. Data Visualization in Julia","pathname":"/6.visualize.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"4yHGuc4IYFt51jjIqRIh","title":"Chapter 7. Using R and Python in Julia","pathname":"/7.r.and.python.in.julia.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"fNcdYpEEVm9bapGwPJ1W","title":"Chapter 9. Performance","pathname":"/8.performance.jl","siteSpaceId":"sitesp_47GRG","description":""},{"id":"ciw3xDjdoO19q7VfpbN7","title":"Appendix. Plot and Notebooks","pathname":"/8.plot.and.notebooks","siteSpaceId":"sitesp_47GRG","description":""}]}