Working with data that changes over time is an essential skill in data science. This kind of data is known as a time series. You'll learn the foundations of what a time series represents, how to retrieve summary statistics about the data in a time series, and how to interpret a time series visually.
You’ll master using the zoo and lubridate packages to import, explore, and visualize time series data in R. You’ll learn to retrieve key attributes of time series information, such as the period of that data and how often the data was sampled, gaining fluency in converting between data frames and time series along the way. Further, by aggregating your data, you’ll learn to see the overall trends in the data using the xts package.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
Las técnicas y herramientas cubiertas en Manipulating Time Series Data in R son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
