Data Preparation

Data preparation is the process of collecting, cleaning, and transforming raw data into a format that can be easily analyzed and used for various applications.

Data Preparation involves gathering, refining, and converting raw data is a critical step in data analysis and machine learning, as the quality and accuracy of the data used directly impact the accuracy and reliability of the results. The data preparation is to ensure that the data is accurate, complete, consistent, and relevant to the analysis. By using this action, the data scientist can make more informed decisions, extract valuable insights, and unveil concealed trends and patterns within the raw data.

Please Note: The BDB Data Science Lab provides an option to access this functionality on the Dataset List page.

• Navigate to the Dataset list page.

• Select a Dataset from the list.

• Click the Data Preparation icon.

• The Data Preparation page opens.

Please Note:

• The details on how to use the Data Preparation option are described in the Data Preparation section under the Data Center.

• 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.