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Name:

Meteorological Measurements for 11 Years

Description:

Several meteorological measurements for a period between 1920 and 1931.

Variables:

A data frame with 11 observations on the following 7 variables.

year: the years.
rainNovDec: rainfall in November and December (mm).
temp: average July temperature.
rainJuly: rainfall in July (mm).
radiation: radiation in July (millilitres of alcohol).
yield: average harvest yield (quintals per hectare).

Details

Carry out a principal components analysis of both the covariance matrix and the correlation matrix of the data and compare the results. Which set of components leads to the most meaningful interpretation?

Link To Google Sheets:

Rows:

Columns:

Files:

Meteorological Measurements for 11 Years_935_13.csv

License Type:

Public Domain (CC0)

References/Notes/Attributions:

Source

B. S. Everitt and G. Dunn (2001), Applied Multivariate Data Analysis, 2nd edition, Arnold, London.

R Dataset Upload:

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

d <- read.csv("https://www.key2stats.com/Meteorological_Measurements_for_11_Years_935_13.csv")