Data capturing and manipulation

Data capturing and manipulation are critical areas of data science. They involve the acquisition, extraction, transformation, and processing of data so that it is helpful for analysis and decision-making. These techniques are important in gaining meaningful insights and taking advantage of large, complex datasets. In this article, we will explore the importance of data capture and manipulation and discuss the basic concepts and techniques of these techniques.

Data capture refers to collecting and retrieving data from various sources. This can include structured data from databases, spreadsheets, or APIs and unstructured data from text, images, and social media sources. The data capture phase involves identifying the right start, extracting data, and converting it into a format suitable for analysis. Techniques such as web scraping, data extraction tools, and data integration frameworks are often used to capture and aggregate data from various sources...