Manipulating Time Series Data with xts and zoo in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Time series can be found everywhere, from server logs to high frequency financial data. The management and manipulation order observations are the basis of all time series analysis. You can accomplish this task quickly and without errors using the xts and zoo packages. This course will cover everything you need to know about xts.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

In this chapter you will look at how xts handles merging new columns and rows into existing data, how to deal with the inevitable missing observations in time series, and how to shift your series in time

This chapter will introduce the basic objects in xts and zoo and their components, and offers examples of how to construct and examine the data

You may even find yourself looking at data that has different frequencies and you need to normalize to the lowest frequency

Course Content

Expand all sections

Module 1: Introduction to eXtensible Time Series, using xts and zoo for time series

Module 2: First Order of Business - Basic Manipulations

Module 3: Merging and modifying time series

Module 4: Apply and aggregate by time

Course Instructors

DataCamp Content Creator

Course Instructor

DataCamp offers interactive R, Python, Spreadsheets, SQL and shell courses. All on topics in data science, statistics, and machine learning. Learn from a team of expert teachers in the comfort of you...