Instruction: Demonstrate how to perform a basic time series analysis using R.
Context: The candidate is required to explain the steps for conducting time series analysis in R. This should include data import, time series object creation, trend analysis, and forecasting. Emphasize on the use of specific R packages such as 'forecast' and functions like 'auto.arima' or 'ets'. This question tests the candidate's ability to handle time-series data, utilize R's packages for forecasting, and their understanding of statistical methods for time series analysis.
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Firstly, the initial step in any time series analysis involves importing the data set into R. R offers various packages like readr for reading CSV files or readxl for Excel files, which are commonly used formats for time series data. Assuming our data is stored in a CSV file, we would use:
library(readr) data <- read_csv("path/to/your/data.csv")...