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deltaray

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Deltaray offers a wide array of functions and operators to transform and manipulate your data, enabling you to prepare it for analysis, create new features, and gain deeper insights. These tools provide a powerful and flexible way to tailor your data to your specific needs.

  Create your own functions to perform specific data transformations tailored to your unique requirements. 

Deltaray offers a user-friendly interface and visual tools to apply these functions and operators, making data manipulation intuitive and efficient. You can also write custom code in Deltaray to create more complex data transformations as needed.

Explore the powerful transformation functions and operators available in Deltaray.

Data Transformation Functions and Operators

Before you can analyze and gain meaningful insights from your data, it's essential to clean and preprocess it. Data cleaning involves removing inconsistencies, errors, and redundancies, while preprocessing prepares your data for analysis and transformation. Deltaray offers various tools and techniques to streamline this process.

Data Cleaning and Preprocessing Techniques

Error Correction and Data Standardization:

By performing these cleaning and preprocessing steps, you ensure that your data is ready for analysis. Deltaray offers visual and programmatic interfaces for these tasks, enabling you to manage and transform your data effectively.

Learn how to remove errors, inconsistencies, and duplicate data in Deltaray.

Cleaning and Preprocessing Data

Deltaray empowers you to go beyond the initial data you import and create new fields and measures that provide deeper insights. Derived fields are new columns calculated based on existing data, while calculated measures are derived values that summarize or aggregate data.

  Determine if you require new fields that can't be obtained directly from your existing data. For example:

  Deltaray provides various functions for creating derived fields:

  Choose the appropriate data type for your new derived field (e.g., numeric, text, date).

  Provide a descriptive name for your derived field.

  Decide how you want to summarize or aggregate your data. Common measures include:

  If you're creating measures across groups, specify the field you want to group your data by. 

  Define the formula to calculate your measure based on the chosen aggregation and grouping. 

 Give your calculated measure a descriptive name. 

Deltaray makes creating derived fields and calculated measures intuitive. You can use visual interfaces to select fields, functions, and operators, or leverage Deltaray's query language to craft more complex formulas. These capabilities enhance your data exploration by providing insights not readily available in your initial data.

Discover how to create new data fields and calculations based on existing data.