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In this presentation, a demonstration will be done to show how to use R and tidyverse tools to work with BLS time series data. In the beginning, the BLS API to query data will be used, then use lubridate and other tidyverse packages to clean the data, compute moving averages, and make time series plots. Then we’ll move on to using the tidyverts series of packages for working with time series and forecasting, demonstrating some basic decomposition and forecasting workflows.
Difficulty level: Easy to Moderate
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Time series data in R
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Lets learn how to use R.
The goal of this session is to give you a solid basic foundation on how to use R and its tools.
R is a vehicle for newly developing methods of analyzing data. It has developed rapidly over the years, and its capabilities has been extended by a large collection of packages created by developers in the R community.
• Define the following terms as they relate to R: object, assign, call, function, arguments, options.
• Create objects and assign values to them in R.
• Learn how to name objects.
• Use comments to inform script.
• Solve simple arithmetic operations in R.
• Call functions and use arguments.