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How to Import Time Series Data in R

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forecastingeconomics

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Автор: Forecasting Economics

Загружено: 2025-08-27

Просмотров: 401

Описание: 📌How to Import Time Series Data in R: Step-by-Step Tutorial

This tutorial provides a comprehensive, step-by-step guide on how to import, format, and plot time series data in R, with a focus on quarterly data starting in 1988. If you're working on forecasting, modeling, or data analysis in R, correctly structuring your dataset is a foundational step for success.

🧠 What You’ll Learn:

1. How to set the working directory in R
2. How to import an Excel file into R using readxl
3. How to rename and format data for clean analysis
4. How to convert data into a time series object using ts()
5. How to plot time series data in R
6. How to save plots in R using png()
7. Understanding the temporal structure for future forecasting models (e.g., ARIMA, VAR)

All steps are explained clearly, with proper commands and logic, making it ideal for any forecasting course in R or time series analysis.

📌Download the dataset, R file and read the guide at:
https://www.forecastingeconomics.com/...
-------------------------------
Support the Channel:

If you find value in this tutorial, please like, comment, share, and subscribe to support further content. Your engagement tremendously aids in growing our community! 💬👍

🔗 Link to subscribe to the channel (it's free):    / @forecastingeconomics  

Channel Memberships: 🌟 Consider subscribing to one of our two membership categories to enable the continuation of high-quality economic tutorials. My channel operates without external funding, making each contribution vital for content creation.

🔗 Link to contribute via a membership:
   / @forecastingeconomics  
--------------------
Store: www.jdeconomicstore.com
Contact me at: www.forecastingeconomics.com

Time Stamps
00:00 Introduction
01:10 New Script - What is it?
01:37 How to set a Working Directory
03:29 Install and Load Packages
04:37 Import the Dataset - Excel
08:13 Rename Columns - Dataset
09:35 Time Series Data Setup
11:34 Plot the Data

Best Regards,
Juan D'Amico
Forecasting Economics
[email protected]
www.forecastingeconomics.com

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