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Automated Exploratory Data Analysis. Simplifying Data Exploration
I am unsure of what the signature for describe_server() is meaning what speaking of table_catalog. Is this something I define to use later within aeda?
I am trying to use with SQL Server on prem and within Azure. But I am unaware of any catalogs that may exist or what they may be named.
It would be great to have some docstrings explaining this or some examples of what it might mean for each item in the function signature.
To group continuous variables in groups of 5 to 20 classes with recommended number near \sqrt{n} so a class frequency can be computed.
Using number of rows and number of columns from summary_v2 and processing time from summary_v3.
Analyse a database transaction log and compare with the metadata to check what tables and columns are utilised and which one aren't. Provide a report of usage based on the transaction log.
It is overwriting the data, it should behave by default on update mode when the table was updated less than a month ago.
Encapsulate SQL code and reference it by engine: 'sqlserver', 'mysql', 'postgres', 'sqlite', etc.
When selecting columns to analyse allow to leave columns out of the analysis.
Given two datasets, compare them through their metadata and find probability of similarities in their fields.
Save the status to resume it in a next session.
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