Data Profile
Data profiling refers to the process of examining and analyzing data to understand its structure, quality, and content.
Last updated
Data profiling refers to the process of examining and analyzing data to understand its structure, quality, and content.
Last updated
Check out the given illustration to get full view of the Data Profile option.
Data profiling is a critical step in the Data Science model creation process. Data profiling involves analyzing and assessing the quality of data to identify any issues or anomalies that could affect the accuracy and effectiveness of the data science model. By performing data profiling, data scientists can gain insights into data quality, structure, completeness, and consistency, which helps them make better decisions about data preprocessing, data cleaning, and data transformation.
Steps to view the Data Profile:
Navigate to the Dataset list.
Select a Dataset from the list.
Click the Data Profile icon.
The Data Profile page opens displaying the Data Set information, Variable Types, Warnings, Variables, Correlation chart, missing values, sample.
Please Note:
Check out the illustration provided in the beginning to get the full view of the Data Profile page.
Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. Click here to get redirected to the quick start flow page.
