## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
library(dplyr)
library(explore)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- use_data_titanic(count = FALSE)
glimpse(data)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- data %>% clean_var(Age, name = "age")
glimpse(data)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- use_data_beer()
data %>% describe(energy_kcal_100ml)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- data %>% clean_var(energy_kcal_100ml, na = 42)
data %>% describe(energy_kcal_100ml)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- create_data_person()
data %>% describe(age)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- data %>% clean_var(age, min_val = 20, max_val = 80)
data %>% describe(age)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data %>% describe(income)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- data %>% clean_var(income, rescale01 = TRUE)
data %>% describe(income)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data[1, "handset"] <- " android "
data[2, "handset"] <- "ANDROID"
data %>% describe(handset)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- data %>% clean_var(handset, simplify_text = TRUE)
data %>% describe(handset)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data <- use_data_beer()
data %>% describe_tbl()

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data %>%
  drop_var_no_variance() %>%
  describe_tbl()

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data %>%
  drop_var_with_na() %>%
  describe_tbl()

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data %>%
  drop_obs_with_na() %>%
  describe_tbl()

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data %>%
  count_pct(type)

## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------------
data %>%
  drop_obs_if(type == "Alkoholfrei") %>%
  count_pct(type)