Python Data Cleaning and Preparation Best Practices

11

Consuming Time Series Data

In this chapter about time series analysis, we will explore the fundamental concepts, methodologies, and practical applications of time series across various industries. Time series analysis involves studying data points collected over time to identify patterns and trends and make predictions.

In this chapter, we will deep dive into the following topics:

• Understanding the components of time series data
• Types of time series data
• Identifying missing values in time series data
• Handling missing values in time series data
• Analyzing time series data
• Dealing with outliers
• Feature engineering with time series data
• Applying time series techniques in different industries

Technical requirements

The complete code for this ...