Lecture 01
- 01_lecture - Introduction to Course
Lecture 02
- 02_lecture_ggplot2
- Basics of ggplot
- Creating ggplot object
- Set x and y
- Color by
- Basics of ggplot
- 02_lecture_jupyter
- Differences between Jupyter Lab and Notebook
- 02_practice_lab
- 02_practice_notebook
- 02_practice_ggplot2
Lecture 03
- 03_lecture_github
- 03_lecture_markdown
- 03_lecture_multiple_plots
- 03_practice_markdown
Lecture 04
- 04_lecture_tour_of_geoms
- 04_practice_geom
Lecture 05
- 05_lecture_plotting_distributions
- 05_practice_distribution
Lecture 06
- 06_lecture_adjusting_plot_appearance
- 06_lecture_ecdf_plots
- 06_practice_ecdf
Lecture 07
- 07_lecture_advanced_figures
- 07_practice_marathon_figure
Lecture 08
- 08_lecture_dplyr_introduction
- 08_practice_arrange_and_mutate
Lecture 09
- 09_practice_dplyr
Lecture 10
- 10_lecture_more_dplyr
- 10_practice_data_input
- 10_practice_summarize_practice
Lecture 11
- 11_lecture_dataframes_and_tibbles
- 11_lecture_factors
- 11_lecture_file_formats
- 11_practice_forcats
- 11_practice_tibble
Lecture 12
- 12_lecture_joins
- 12_lecture_reshaping_data
- 12_practice_gather_spred
- 12_practice_join
Lecture 13
- 13_lecture_python_versus_R
- 13_lecture_review_concepts
Lecture 14
- 14_lecture_plotly_introduction
- 14_lecture_stepping_through_a_Dockerfile
- 14_practice_plotly
Lecture 15
- 15_Docker_in_action
- 15_practice_exercise