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 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, derive valuable insights, and identify trends and patterns that may have been hidden in the raw data.

• 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.