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.

Saving Data Preparation for a Dataset

• Navigate to the Dataset List page for a Repo Sync Project.

• Select a Dataset from the list.

• Click the Data Preparation icon.

• The Data Preparation page opens displaying the dataset in the grid format.

• Apply the required transforms on the data set. For example, Click the Auto Prep option to apply the default transforms that are part of Auto Prep.

• The Transformations List gets displayed with the default transforms provided under the Auto Prep option.

• Click the Proceed option.

• Provide a name for the Data Preparation

• Click the Back icon to go back.

• A notification message appears to inform the users that the data preparation has been saved.

Accessing the Saved Data Preparation

Once the user has saved a data preparation inside any Dataset, they will be redirected to the Dataset list page.

• Select the same Dataset from the list where a Data Preparation is saved.

• Click the Data Preparation icon for the same Dataset.

• The Preparation List window opens listing all the saved data preparations for the concerned Dataset.

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.