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https://www.ibm.com/support/knowledgecenter/en/SS3RA7_15.0.0/com.ibm.spss.crispdm.help/crisp_exploration_report_writing.htm
Writing a Data Exploration Report. As you create graphs and run statistics on the available data, start forming hypotheses about how the data can answer the technical and business goals. Task List. Take notes on your findings for inclusion in the data exploration report. …
https://searchbusinessanalytics.techtarget.com/definition/data-exploration
Dec 01, 2018 · Data exploration methods. Companies can conduct data exploration via a combination of automated and manual methods. Analysts commonly use automated tools such as data visualization software for data exploration because these tools allow users to quickly and simply view most of the relevant features of a data set. From this step, users can identify variables that are likely to have …
https://open.factset.com/products/data-exploration/en-us
Jul 24, 2018 · FactSet Data Exploration eliminates the cost of trialing data locally by providing everything needed to analyze new content with a simple log in. The environment is also available for purchase as an annual subscription.
http://support.sas.com/documentation/cdl/en/webeditorug/68254/HTML/default/p1kvawzsn7oo14n1mqlk9wiv3hrm.htm
The Data Exploration task provides graphs that can be used to explore the relationships among selected variables. ... In the Tasks section, expand the Statistics folder and double-click Data Exploration. The user interface for the Data Exploration task opens. ...
https://www.ibm.com/cloud/garage/dte/tutorial/data-exploration-and-discovery/
Information Analyzer (IA) enables users to better understand their data. It can automatically profile, classify, validate, and govern, data, upon discovery of new sources. It uses pre-built and custom rules that will apply meaning and quality measurements, which are available for users of the data and interested parties.
https://www.sisense.com/glossary/data-exploration/
Data exploration can use a combination of manual methods and automated tools such as data visualizations, charts, and initial reports. This process makes deeper analysis easier because it can help target future searches and begin the process of excluding irrelevant data points and search paths that may turn up no results.
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