Did you know that 1.7 megabytes of digital data is created every minute?
This digital data created every minute starts of as #rawdata. Raw data is the unprocessed, unorganized, and unstructured information that is collected directly from various sources. The raw data can be qualitative and quantitative.
Raw data is often collected in a basic format, representing the original state before any manipulation or analysis takes place. When subjected to appropriate analysis and processing, it can display patterns, trends, and relationships, leading to informed decision-making.
Raw data is the starting point for data processing and analysis. It provides the materials necessary for researchers, statisticians, and data scientists to extract meaningful information. By employing techniques such as data cleaning, transformation, and aggregation, raw data can be refined into usable intelligence.
It is important to note that working with raw data requires careful consideration. Raw data is often subject to errors, inconsistencies, and missing values. Proper cleaning, validation, and preprocessing are essential to ensure the accuracy and reliability of the insights derived from raw data.
Raw data is the backbone of data analysis, enabling researchers and analysts to extract valuable insights, patterns, and trends.