Qualitative data deals directly with descriptions; not numbers. This data can be observed and read but not measured since there are no numbers involved.
Qualitative.
Qualitative refers to data or research that focuses on understanding the qualities, characteristics, and attributes of a subject rather than measuring it quantitatively. It often involves descriptive, non-numeric information that captures experiences, opinions, and perceptions. Qualitative methods, such as interviews and focus groups, aim to provide deeper insights into complex issues.
data from which statistics cannot be formed e.g. if your data is written answers/comments by people, this is qualitative data because all the answers are different, so you can't form statistics from them. However if your data is from [for example] a questionnaire and your data is split into how many said yes and how many said no, then this is quantitative data because you can split the data into '28% said no and 72% said yes' etc.
I can't tell you which one is most reliable because data (or information) can be collected in so many different situations to answer different questions. If I am conducting a very scientific experiment, for example I want to know if a type of tomato grows better in an acid soil, then I need to collect and analyze quantitative data.But in many fields, both types of data are needed. Sociology and psychology studies use qualitative data. For example, I want to know if people who have lived in hot climates for long periods of time, are more comfortable with heat and humidity. So I ask people if they are feeling uncomfortable (qualitative data), how long they have lived in a hot climate (quantitative data) , and also recorded the heat and humidity (quantitative data).- See related link. From the third link, the author opines:"What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description."
Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Metada data is data that describes other data.
Data cleaning is where the data may have missing data such as gender and the data manager has to go back to the source to find the data or data is incorrect and has to be corrected back at the source.
No, Moving data is not same as duplicating data. When we copy data that causes duplication of data . And while moving we are just changing the storage location of data.To copy data is duplication, but to move data does not cause duplication.
a noun u can get data and use data but not do data