What is data. analysis? Explain.
What is data analysis and what are the types of data? Explain with example.
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Drake
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this is the process retrieve information from various kind of data.br /lets take a example :- br /you have the data of sales of your product in various city. after analysis those data you find that there is a particular city where demand of your is less. then you will more analyse on data of that city, after proper analysing of all data you will get the actual problem to less demand of product. so now can know the exact problem and you can solve the problem. this will help your company to increase your demand. you can know the exact public demand and you can produce product on that demand.
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Rabi
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Data analysis is a primary component of data mining and Business Intelligence (BI) and is key to gaining the insight that drives business decisions. Organizations and enterprises analyze data from a multitude of sources using Big Data management solutions and customer experience management solutions that utilize data analysis to transform data into actionable insights. There are two types of data Qualitative data:- The data which is observed Example:- The plant has red flowers. Quantitative data:- The data which is counted Example:- The plant has 5 flowers.
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P shobha
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- What is data analysis? Define this term
- What are the three types of analytics? How do you Analyse data?
- What is methods of analysis? How do you Analyse qualitative data?
- What are data analysis procedures? Why do we Analyse data?
- What are the types of data analysis? What are the methods of data analysis?
- What is Large data analysis?
- What a data analyst do in a regular job?
- How can I practice the questions of Data Analysis? Where to find study material?
- What are the tips and tricks to crack the Data Analysis Exam?
- What is category analysis? How do I become a data analyst? How do you conduct data analysis?
Data analysis is the process of examining and interpreting data to extract valuable insights. There are various types of data, including qualitative (like text) and quantitative (like numbers). For instance, analyzing sales data (quantitative) can help a company understand which products are selling best. For more data-related info, check out a rel='nofollow' href="https://www.nannostomus.com/"https://www.nannostomus.com//a. It's a great resource!