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Enhance a dataset using OpenAI

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Enhance a dataset using OpenAI   Attend the course: Enhance your dataset using OpenAI What you will learn: Create and use data frames Create and use data api's Use Python OpenAI to enhance data: This Python lesson demonstrates how to use OpenAI to enhance and standardize data stored in an Excel spreadsheet.  The program reads an Excel file into a pandas DataFrame,  processes the records in manageable batches,  sends the data to an OpenAI model for improvement,  and writes the enhanced results back into a new Excel file. You will maintain the original structure of the dataset by keeping the existing column names unchanged while improving data quality, such as correcting spelling, standardizing formatting, and cleaning company and address information. This approach allows Python users to automate large-scale data enhancement tasks while preserving the original spreadsheet format.   Attend the course: Enhance your dataset using OpenAI  

What Is a Data Dictionary in Microsoft SQL?

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What Is a Data Dictionary in Microsoft SQL? SQL 1 Hour Taster Course : Follow link for details and to book A data dictionary is a document or database that stores information about a Microsoft SQL database rather than the actual data itself. It acts as a reference guide that explains how the database is organized. A data dictionary includes details such as: Tables – The different sections where related data is stored. Columns – The individual fields in each table, such as Name or Date of Birth . Data types – The kind of information each column can hold, such as text, numbers, or dates. Constraints – Rules that help keep data accurate, for example requiring a value or preventing duplicates. Relationships – How different tables are connected to one another. A data dictionary can also provide extra information, including: Field definitions – A description of what each column is used for. Allowed values – The values that can be entered into a field. Ownership details – Who is r...