Principles of Cliometrics (Episode 2) - What is data?

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Principles of Cliometrics (Episode 1) - IntroductionPrinciples of Cliometrics (Episode 1) - Introduction
Principles of Cliometrics (Episode 12) - Comparing two means and checking for normality in RPrinciples of Cliometrics (Episode 12) - Comparing two means and checking for normality in R
Principles of Cliometrics (Episode 3) - The difference between a population and a samplePrinciples of Cliometrics (Episode 3) - The difference between a population and a sample
Principles of Cliometrics (Episode 27) - Assumptions of linear regression analysisPrinciples of Cliometrics (Episode 27) - Assumptions of linear regression analysis
Principles of Cliometrics (Episode 4) - Explanatory variables and response variablesPrinciples of Cliometrics (Episode 4) - Explanatory variables and response variables
Principles of Cliometrics (Episode 7) - Calculating the mean, variance and standard deviation in RPrinciples of Cliometrics (Episode 7) - Calculating the mean, variance and standard deviation in R
Principles of Cliometrics (Episode 5) - Distributions, the mean and the modePrinciples of Cliometrics (Episode 5) - Distributions, the mean and the mode
Principles of Cliometrics (Episode 44) - Time Series Regression in RPrinciples of Cliometrics (Episode 44) - Time Series Regression in R