Data Exploration

You can explore data using one of the visual operators in the Exploration category.

You can use the operator properties to fine-tune the visual output, run the operator, and then view the chart or graph in Team Studio. The correlation operator can provide information about correlation and covariance.

Most exploration operators that produce visual output do not generate data to send to succeeding operators (they are terminal operators). Line Chart, Summary Statistics (either for DB or HD), and Variable Selection are the exceptions, producing data that you can send to a subsequent operator. See their help for more information.

  • Visualizing data with charts and graphs
    Data visualization is at its most effective when you know which visualization type gives you the best understanding of the data.
  • Explore Visual Results
    Team Studio uses Plotly charts and graphs to enhance how you interact with your data. Plotly is available to the Explore operators, to many Model operators, and for all associated results shown in Touchpoints and HTML reports. The topics in this section discuss tips and tricks to use these visualizations to the fullest extent. Note the location of each of these features in the diagrams.
  • Correlation and Covariance
    Correlation and covariance are statistical mathematical expressions that describe the degree at which two random variables or sets of random variables change their values in similar ways.
  • Information Value and Weight of Evidence Analysis
    Information Value analysis is a data exploration technique that helps determine which columns in a data set have predictive power or influence on the value of a specified dependent variable.
Related concepts