The Fundamentals of Data

Raw data refers to unprocessed data that has not been cleaned or corrected, while processed data is the result of data processing after cleaning and correction. An example of raw data is a thermometer reading from an outdoor Arctic location recording a tropical temperature, while an example of processed data is the cleaned and corrected temperature data after removing outliers or errors.

The different categories of data mentioned in the text are raw data vs processed data, structured data vs unstructured data, real-time data vs historical data, field data vs experimental data, and qualitative data vs quantitative data. Raw data refers to unprocessed data, structured data is organized and easily searchable, real-time data is continuously updated, field data is collected in the natural environment, and qualitative data is descriptive while quantitative data is numerical.

It is important to correct raw data before using it for analysis or decision making to remove outliers or errors that could lead to inaccurate conclusions or decisions.

<p>Data are crucial in the decision-making process as they provide the factual information and statistics that serve as the basis for reasoning, discussion, and calculation.</p> Signup and view all the answers

<p>Data can range from abstract ideas to concrete measurements, indicating the link between data and the concept of measurement as data can represent various measurements.</p> Signup and view all the answers