1.4 Conclusion

1.4.1 Summary

Recapitulate the basic notions of data, science, and data science.

Distinguish between general vs. personal motivations for becoming more data literate.

Use tools that fit to both their users and the tasks at hand.

An important tool for reproducible research is provided by R Markdown.

1.4.2 Resources

For an introduction to similar topics, see the initial Clarifications of the ds4psy book.

Pointers to cheatsheets and additional links:

Data literacy

• Data-literacy charta

• Reproducible research provides a curated collection of recommendations (with entries on literate programming and project workflows) as a CRAN Task View

Help on R Markdown

Useful practical resources on R Markdown include (in increasing amount of detail):

• A Markdown Quick Reference card is available in RStudio via
  Help > Markdown Quick Reference.

• The R Markdown Cheatsheet, available in RStudio via
  Help > Cheatsheets > R Markdown Cheat Sheet.

Figure 1.9: R Markdown cheat sheet (from RStudio cheat sheets).

• The R Markdown Reference Guide, available in RStudio via
  Help > Cheatsheets > R Markdown Reference Guide.

Figure 1.10: R Markdown reference guide (from RStudio cheat sheets).

1.4.3 Preview

What’s next? Provide a sneak preview of the following topics and chapters.