Week 7: Apply it to your data 6

Import data

salary <- read_csv("../00_data/myData.csv")

## Rows: 80332 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (8): date_time, city_area, state, country, ufo_shape, described_encounte...
## dbl (3): encounter_length, latitude, longitude
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Introduction

Questions

Variation

ggplot(data = salary) +
  geom_bar(mapping = aes(x = state))

Visualizing distributions

Typical values

Unusual values

Missing Values

Covariation

A categorical and continuous variable

Two categorical variables

Two continous variables

Patterns and models