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#

Name:

Description:

2016-17 weather in several cities

Variables:

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.)

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

These data were downloaded from WeatherUnderground in January 2018.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Weather_1295_10.csv")

R Coding Interface:


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