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December 2004PLUTO DATA DICTIONARY TABLE OF CONTENTS Page No. Introduction and Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Field
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How to fill out pluto data dictionary

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Step 1: Begin by gathering all the necessary information about the Pluto data that you want to document.
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Step 2: Create a new document or open an existing one to serve as the data dictionary.
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Step 3: Start with the basic metadata of the Pluto data, such as the data source, data format, and date of creation.
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Step 4: List down all the variables or fields present in the Pluto data.
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Step 5: For each variable, provide a clear and concise description of its meaning and purpose.
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Step 6: Specify the data type of each variable, such as integer, string, date, etc.
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Step 7: Include any relevant units of measurement for numerical variables.
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Step 8: If there are any validation rules or constraints for the variables, document them as well.
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Step 9: Add any dependencies or relationships between variables, if applicable.
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Step 10: Document any additional information that may be important for understanding or using the Pluto data.
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Step 11: Review and revise the data dictionary for accuracy and completeness.
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Step 12: Share the completed data dictionary with the intended audience who will be using or analyzing the Pluto data.

Who needs pluto data dictionary?

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Pluto data dictionary is useful for data scientists, analysts, researchers, and anyone working with Pluto data.
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Government agencies and organizations that handle Pluto data can also benefit from having a data dictionary.
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Data administrators and database developers can use the data dictionary to ensure data consistency and standardization.
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Pluto data dictionary is essential for data documentation and data governance purposes.
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Individuals or teams involved in data analysis, data mining, or data integration can also find the data dictionary helpful.
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The Pluto data dictionary is a resource that outlines the variables and data elements associated with the PLUTO dataset, which provides detailed information about real estate properties in New York City.
Typically, organizations or individuals involved in real estate transaction reporting in New York City are required to file the Pluto data dictionary.
To fill out the Pluto data dictionary, individuals should follow the specific guidelines provided by the relevant authority, ensuring that all required fields are accurately completed based on property data.
The purpose of the Pluto data dictionary is to provide a comprehensive framework for understanding the PLUTO dataset, ensuring consistency and accuracy in property data reporting.
Required information includes property characteristics such as type, location, zoning, ownership details, and any changes in property status or assessment.
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