Text Data Types

Importance of working with text

In today’s increasingly online world, we’re generating vast amounts of data at an unprecedented rate. One type of data that is increasing exponentially and becoming increasingly important is text data.

From social media posts to online reviews, news articles, and product descriptions, text data is ubiquitous and offers insights into consumer behavior, sentiment, and preferences. Therefore, working with text data is a crucial skill for data practitioners.

Handling text data, however, can be challenging due to its unstructured nature. Unlike structured data, typically stored in tables with predefined columns, text data can take different forms and contain a wide range of information.

Fortunately, pandas comes with numerous capabilities that can help us work with text data effectively.

Text data types

There are two ways to store text data in pandas: