---
title: "Time Series Forecasting: A Practical Guide to Exploratory Data Analysis"
url: https://daily.dev/posts/time-series-forecasting-a-practical-guide-to-exploratory-data-analysis-uavbj1go5
source_url: https://towardsdatascience.com/time-series-forecasting-a-practical-guide-to-exploratory-data-analysis-a101dc5f85b1
type: article
source: "Towards Data Science"
published: 2024-05-10T00:54:07.476Z
updated: 2024-05-10T00:54:05.592Z
tags: ["python", "pandas", "time-series-forecasting", "exploratory-data-analysis"]
reading_time: 15
upvotes: 5
comments: 0
language: en
---

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# Time Series Forecasting: A Practical Guide to Exploratory Data Analysis

**[Towards Data Science](https://daily.dev/sources/tds)** · 15 min read · 5 upvotes · 0 comments

## Summary

This post provides a comprehensive guide on how to perform exploratory data analysis for time series data. It covers techniques such as descriptive statistics, time plots, seasonal plots, box plots, time series decomposition, and lag analysis. The post also discusses how these analyses can be used for feature engineering in time series forecasting.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/time-series-forecasting-a-practical-guide-to-exploratory-data-analysis-a101dc5f85b1>

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---

Tags: [#python](https://daily.dev/tags/python), [#pandas](https://daily.dev/tags/pandas), [#time-series-forecasting](https://daily.dev/tags/time-series-forecasting), [#exploratory-data-analysis](https://daily.dev/tags/exploratory-data-analysis)

[View this post on daily.dev](https://daily.dev/posts/time-series-forecasting-a-practical-guide-to-exploratory-data-analysis-uavbj1go5)