Welcome

Data tidying and importing

Data Science with R

Hello!

Data science life cycle

Tidy -> transform

Import

Background

Toolkit

Concepts

• Tidyverse functions take a data frame as their first argument

• Data transformation can be done in data pipelines with dplyr

df |>
  select(...) |>
  filter(...) |>
  mutate(...) |>
  group_by(...) |>
  summarize(...)

• Data visualizations can be built layer-by-layer with ggplot2

ggplot(df, aes(x = ..., y = ...)) +
  geom_*(...) +
  scale_*() +
  facet_*(...) +
  labs(...)