Examples of using Data exploration in English and their translations into Chinese
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Self-service empowers developers, data scientists and data analysts to conduct data exploration directly.".
The refinement process can incorporate data exploration, preparation, correlation and contextualization, labeling and annotating, unification and integration, and application of security and governance policies.
This paves the way for fully cloud-based operation, including data management, code editing and sharing, execution, debugging, collaboration, analysis, data exploration, and visualization.
The first is data exploration.
Data Exploration Variable Identification Uni-Variate.
Data exploration usually starts with a question.
Data exploration has reached a new level.
Visualization becomes a means of data exploration.
Big data exploration and discovery platform.
The Rensselaer Institute for Data Exploration and Applications.
Visualization can become a means of data exploration.
This usually also involves some level of data exploration.
Note that data exploration is also called exploratory data analysis.
Data exploration is an inevitable part of predictive modeling.
Big data represents a new era in data exploration and utilization.
Exploration is necessary, articulate the objectives of data exploration.
TIBCO Spotfire Cloud is analytics software-as-a-service designed for data exploration.
When data exploration stops yielding insight, you need stronger tools.
Let's look at what data exploration is and why it's important.