Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Here are 26,242 public repositories matching this topic... ...
public AnalysisData withData(List> data) Set the data property: Additional Source Data. Parameters: data - the data value to set. Returns: the AnalysisData object itself.withDetectorDefinition public AnalysisData withDetectorDefinition(DetectorDefinition detectorDefinition) Set the detectorDefinition prop...
Such a solution is easier to provision and delivers business value faster while avoiding the compatibility and access issues of a legacy system that has separate solutions for reporting, discovery, analysis, and recommendations. A platform that resides in the cloud but can access data in on-...
Here are 269 public repositories matching this topic... Language:All Sort:Most stars lmcinnes/umap Star7.5k Uniform Manifold Approximation and Projection visualizationmachine-learningdimensionality-reductionumaptopological-data-analysis UpdatedNov 29, 2024 ...
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Topic analysis– You can use this analysis to extract the main topics from larger data sets. For instance, you can use it to analyze customer feedback or product reviews. The main goal is to check out the underlying sentiment in the data set. ...
Parent topic:The Data Analysis Tool Workflow to build Analyses Here is the workflow to build an analyses. Following are few common tasks to start building Analyses: Create a useful analysis:Before creating your first analysis, you can construct a useful analysis over a single Analytic View. This...
Financial analysts face data overload and integration issues. LSEG Datastream simplifies data analysis, enhances collaboration, and enables smarter insights. LSEG The future of managed services – five key trends for the next three years Explore five key trends in managed services driving financial firm...
Analysis Settings Topic-specific Guides User ID Calculation Logic Data Export Using Sampling Analysis Managing the Default Data Processing Location Setting Multiple Data Processing Locations Attribution Usage Guide Using Activation Attribution Using Petal Ads Attribution (Outside the Chinese Mainla...
data where each sample has its own unique ID. For example, each person in our dataset on the Titanic has a given ID value, even if that person has the same name as someone else. Identity values help us navigate in a dataset, but our data analysis doesn't directly involve those v...