Data Analysis Write For Us
Data analysis is the science of examining raw data to conclude that information. Many data analysis techniques and processes have been automatic into mechanical processes and algorithms that work on raw data for human consumption.
Data analysis is based on various software tools, including spreadsheets, data picturing and reporting tools, data extraction programs, or open-source languages for further data manipulation.
Types of Data Analysis
Data analysis falls into four basic types:
Descriptive analysis: This describes what has happened during a given period. Has the number of views increased? Are sales stronger this month than last?
Diagnostic analysis: This focuses more on why something occurred. This includes more diverse data inputs and a bit of assumption. Did the weather affect beer sales? Did that last marketing campaign impact sales?
Predictive Analytics – This carries over to what will likely happen soon. What ensued to sales the last time we had a hot summer?
Prescriptive analytics: This suggests a course of action. Suppose the probability of a hot summer is measured as an average of these five climate models to be greater than 58%. In that case, we should add an evening shift to the brewery and rent an additional tank to increase production.
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Cleansing
Transforming
Modeling Data
Data mining
Text Analytics
Data integration
Process
Raw Data
Custodians
Experiments
Structured data
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