{buildr} + RStudio = ❤️ | Let's see what you got there | Line up your bricks | Build | What's next? | I want more complexity!

reschola and charts | The reschola theme | Global theme setting | Basic usage of theme_schola() | Override defaults changed inside theme_schola() | Small mutliples | Building a diverging Likert plot | Using colour scales | Using custom numeric scales | Sizing images | Making fonts work | Using fonts | Tricks of the trade for ggplot2 | Resources on good practice | Handy (or just cool) ggplot2 extensions | Crucial | Useful | Fun

Quick note on installing the package without all the development paraphernalia | Overview | I already have R and all the other stuff | Installing R | R | RStudio | Workspace in RStudio | RStudio Cloud | Development tools | Locale: language and related settings | R configuration | More on this | Packages | CRAN Mirror | Some background on packages | Authorize R to access Google Drive | TBD: renv | Installing git | RStudio and git | Github | Some basic concepts for working with Git | Repository (repo) | Local and remote | Working copy, staging area, committed files | Diff (git diff) | Staging (git add) | Commit (git commit) | Push (git push) | Pull | Troubleshooting | Git GUI (Graphical User Interface) | Optional: LaTEX | Optional: text editor | Fonts for reschola charts

Objective | Principles | 1. Reproducible projects | 2. Reproducible reports | 3. Consistent style of outputs | 3. Good documentation | 4. Efficiency | Building blocks | On reproducibility frameworks | 1. Project initiation via the project template | 2. Default project structure | 3. Document templates | 4. ggplot2 theme | 5. Utilities | Step by step | 1. Start a new project | Not committing sensitive data to git | Google Authentication | renv: managing package dependencies | 2. Download the data | 3. Read in, check and process the data | Data and git | 4. Explore/Analyse the data | Approaches

Development process | Dependencies | Quality assurance | Checks / Continuous integration | Test coverage | Making package binaries available | Online documentation | Reusing/reshaping the documentation | Making changes | Reusing | How to change key parts | Resources and acknowledgements

Guidance on how to set up your computer and your mind for doing data analysis the Schola way | An Rstudio project template for easy project setup | Templates for producing reports in the Schola style | A ggplot2 theme in the Schola style and related plotting utilities | Meta: keeping this packate up to date and up to scratch

RStudio tips | General helpers | Snippets | Handy keyboard shortcuts | Retrieving documentation | Getting help beyond the documentation | The usethis package: utilities for easy code development | Data exploration | Data input | From LimeSurvey | From Google sheets / Forms | Data manipulation | Data output | Data checking | Data cleaning | Resources for different data types or analysis areas | Web scraping | Modeling | Spatial data | Displaying geospatial data and making maps | Geodata on Czech Republic | Statistical data | Czech public finance data | Time series | Network data  | Text data | Getting stuff on the web | Long-form, multipart reports