R_course_UAH2021

Course "Data science in R", PhD Science Programs, UAH 2021

https://www1.uah.es/pdf/archivos_estudios/AF/2020-2021/AAFE18_1_9_1_E_Curso-Ciencia-de-datos-en-R.pdf

Contents

0) BASIC INTRODUCTION TO USE AND LOGIC OF R

1) DATA MANIPULATION

1. DATA TYPE AND STRUCTURE

2. DATA EXPLORATION

3. DATA SUBSETTING

4. DATA EDITING

5. DATA REORGANIZATION

6. TIDY | RESHAPE DATA {tidyr}

7. AGGREGATE AND ANALYZE DATA

8. CONCATENATE OPERATIONS

9. SPECIFIC DATA MANIPULATION

9.1. FACTORS {forcats}

9.2. CHARACTER STRINGS {stringr}

9.3. DATES AND TIMES {lubridate}

10. DATA IMPORTATION AND EXPORTATION

2) DATA VISUALIZATION

BLOCK 1 - INTRODUCTION TO GGPLOT

1. Introduction to ggplot logic
2. Building a simple plot in ggplot

BLOCK 2 - GEOMETRIES

BLOCK 2.1. - BASIC GRAPHS

3. Scatterplots
4. Line graphs
5. Area graphs
6. Barplots

BLOCK 2.2. - DISTRIBUTION GRAPHS: frequency and density graphs

7. Histograms
8. Frequency polygons
9. Density curves
10. Boxplots
11. Violin plots
12. 2D Frequency maps
13. 2D Density maps

BLOCK 2.3. - GEOREFERENCED GRAPHS: MAPS

14. Georeferenced graphs – Maps

BLOCK 3 - OPTIONAL LAYERS

15. Facets
16. Stats
17. Scales
18. Coordinates
19. Titles and labs
20. Annotations
21. Theme

BLOCK 4: SAVE FIGURES AND MORE

22. Save figures
23. ggplot extensions

BLOCK 5: ANIMATED GRAPHS {gganimate}

24. Introduction to animated graphs
25. Grammar of {gganimate}
26. Render (save) animated graphs