Weather {mosaicData}

Weather

Description

2016-17 weather in several cities

Usage

data(Weather)

Format

A data frame with weather-related variables for several world cities.

city

City name.

date

Date.

year

Numeric year.

month

Numeric month.

day

Numeric day.

high_temp, avg_temp, low_temp

High, average, and low temperature for the day in degrees F.

high_dewpt, avg_dewpt, low_dewpt

High, average, and low dew point for the day in degrees F.

high_humidity, avg_humidity, low_humidity

High, average, and low relative humidity.

high_hg, avg_hg, low_hg

High, average, and low sea level pressure in inches of mercury.

high_vis, avg_vis, low_vis

High, average, and low visability for the day in miles.

high_wind, avg_wind, low_wind

High, average, and low wind speed for the day in mph.

precip

Precipitation for the day – a character vale; T means "trace amount".

events

Character string naming weather events on the day (Rain, Fog, Snow, etc.)

Source

These data were downloaded from WeatherUnderground in January 2018.

Examples

if (require(dplyr)) {
  Weather |>
    group_by(city, year) |>
    summarise(
      min_temp = min(low_temp),
      max_temp = max(high_temp)
      )
}

if (require(ggformula)) {
  Weather |>
    gf_linerange(low_temp + high_temp ~ date | city ~ ., 
    color = ~ (high_temp + low_temp) / 2, show.legend = FALSE) |>
    gf_refine(scale_color_gradientn(colors = rev(rainbow(5))))
}