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What is data mixing?
Data mixing refers to the process of combining different datasets or sources of data to create a more comprehensive dataset for analysis or processing. This can involve merging data from multiple sources, such as databases, spreadsheets, or APIs, to create a unified dataset with a wider range of information for analysis. Data mixing is commonly used in data science and analytics to generate insights and make informed decisions based on a richer set of data.
What is the triangularization of research findings?
Triangularization of research findings involves using multiple sources of data, methods, theories, and researchers to confirm and validate research results. By incorporating various perspectives and data sources, researchers can improve the reliability and validity of their findings, leading to more robust conclusions.
What is a non-material thing related in chemistry?
I would need more clarification to answer this. Chemestry is the science of studying the properties of materials. I suppose a non-material thing would be the data they have to use.
How does the large amount of weather data gathered by various modern technologies affect the accuracy of weather forecast?
Because though we have all this technology, one person's mistake in judgment could very easily be someone else's error in forecast. That is why we have trained, professional meteorologists behind the scenes trying to help your local news team be more accurate and reliable.
What is the formula for the material listed on the MSDS?
To provide the formula for the material listed on the MSDS (Material Safety Data Sheet), I would need to know the specific substance in question. Each material has its own unique chemical formula that details the elements and their proportions. Please specify the chemical or material you are inquiring about for a more accurate response.
What ways of checking the validity of information gathered from ict sources and non sources?
Check more than one source. If they differ then check more sources until you get the straight facts.
What is an inherent problem in using secondary sources of data is?
An inherent problem in using secondary sources of data is that the data may have been skewed or manipulated a bit. Primary sources of data are always more reliable than secondary sources.
Ways of checking the validity of information gathered from ict sources?
Check more than one source. If they differ then check more sources until you get the straight facts.
Why are primary sources more realiable then secondairy sources?
Depends what you mean by 'more real'? Primary data will be conducted for the exact means of your study so is likely to have a greater degree of validity than any secondary data you might use. Chances are it will also be more up to date too. Data gathered years previously is less likely to provide reliable answers to the questions you data needs to answer
What are the sources of geographical data?
Sources of geographical data include satellites (remote sensing), aerial photography, GIS databases, surveys, field data collection, and crowdsourcing through platforms like OpenStreetMap. These sources provide information on terrain, land cover, infrastructure, demographics, and more for various geographical analyses and applications.
Where can one receive secondary data?
You can receive secondary data online from sources such as Censuses and qualitative research. You can learn more information about Secondary Data online at the Wikipedia.
How much data can you put in a bar code?
From various sources I gathered that the information rate varies between 12 and up to 3,750 bytes of information depending on encoding method ect. (about 3Kb worth of data) there are various encoding methods (upward of a dozen), each with their own different usages. I have provided an alternative link where you can gather more information, for anyone who wishes to do so.
What does data vary mean?
It means that the 'data' (i.e.: information or statistics) that is given or quoted, is subject to more than one interpretation, or that sources of the data give varying information for the same subject.
What is meant by Data Consolidation?
Data consolidation simply means collecting and integrating data from two or more different sources to provide a single, consolidated data source, in order to reduce inefficiencies such as data duplication and making it easier to present data without the overhead of multiple data resources and the costs incurred in managing separate data sources.
What are the differences data warehouse between data mining?
Data warehouse is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed rather than transaction processing, whereas Data mining is the process of analyzing unknown patterns of data.
What is data mixing?
Data mixing refers to the process of combining different datasets or sources of data to create a more comprehensive dataset for analysis or processing. This can involve merging data from multiple sources, such as databases, spreadsheets, or APIs, to create a unified dataset with a wider range of information for analysis. Data mixing is commonly used in data science and analytics to generate insights and make informed decisions based on a richer set of data.
What is the sources of crime data and the positive and negative?
The answer will depend on the country or region whose crime data you are interested in. And since you have not bothered to specify which one, I cannot provide a more useful answer.
