# Examples

# filter: find observations that fit any logical condition
income %>% 
  filter(annual_income > 100000)

people %>% 
  filter(name == "Christoper Peteuil")

# filter + str_detect: for partial matches
people %>% 
  filter(str_detect(name, "Amy"))

# arrange: sorts the data set from lowest to highest by the variable of your choice
income %>% 
  arrange(annual_income)

# arrange + desc: sort highest to lowest
income %>% 
  arrange(desc(annual_income))

# chain together multiple steps
crime_scene_report %>% 
  filter(city == "Duluth") %>% 
  arrange(desc(date))