Getting the Best-Personalized Deals: Part 4 — Data Analysis (video)
Part 4: Learn how you can perform personalized analysis to find the best shoe bargains using Data Refinery’s coding operations.
In the previous post (Part 3), we demonstrated how to prepare the raw data to normalize, transform and extract features for analysis. You learned how to combine data to enrich it for your use case. You used the user interface to transform data and visualizations step-by-step, to speed up the process.
Data Refinery provides numerous coding operations for data preparation and analysis. You can mix and match user interface operations and coding operations, giving you the ease of use combined with flexibility to build complex flows. You can use the templates to jump-start the analysis. You can use any of the over 50 templates provided by the tool. In-context help and content assist are available at every step, should you get stuck. Out of the box, operations are available. In addition, you can build complex operations to build your analysis flow. A few common examples are working with multiple columns in a single operation to select, aggregate, sort, filter or derive one or more columns.
In the previous video, the Data Scientist prepared data for shoes that matched her brand preferences and offered discounts.
In this video, the Data Scientist will perform her personalized analysis to find the best bargains.
You will get an introduction to coding operations and learn how to:
- Use coding operations and content assist to convert templates into executable code
- Customize the templates to transform multiple columns in a single operation
- Do’s and don’ts for coding operations
Do’s and Don’t for coding operations
As shown in the video, you can customize the coding operations to work with multiple columns. This flexibility leads to a productive analysis building experience. Ensure that you only use the functions that are provided in the content assist.
IBM’s Data Refinery is available with Watson Studio, Watson Knowledge Catalog on public cloud, private cloud, and Watson Studio Desktop.
Get started for free at: https://www.ibm.com/cloud/data-refinery
