Explore a range of training programs in Oracle Analytics designed to boost your skills: https://social.ora.cl/6007NQExN
In this tutorial, we’ll take on the role of workbook authors completing self-service data preparation to learn how to replace missing or null values in a dataset in Oracle Fusion Data Intelligence (FDI). Replacing missing or null values and re-organizing them into appropriate categories improves data quality for analysis. FDI will identify missing or null values from uploaded datasets. This tutorial reviews how to recategorize these values, offering cleaner, higher-quality datasets for analysis.
Check out detailed instructions on how to replace missing or null values in a dataset: https://social.ora.cl/6001NQEIR
Like what you learned about Oracle Fusion Data Intelligence? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle CloudWorld – https://social.ora.cl/60035eVvJ
Contact Analytics Cloud Sales – https://social.ora.cl/6005cxq9x
Learn More about Oracle Analytics Cloud – https://social.ora.cl/6007cxsiB
Analytics Cloud Customer Success Stories – https://social.ora.cl/6000cxsog
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X (Twitter): https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp