Featured Post

Python Set Operations Explained: From Theory to Real-Time Applications

Image
A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...

7 Features of Tableau Self-service Engine

Tableau introduced the Self-Service tool. This Tool helps user queries while importing data from multiple sources. This project is called Project Maestro. This is an additional feature for the data analysis engine.




Self-Service Engine in Tableau


  • The visual ways of inspecting, joining and editing data. Results could then be piped into Tableau for analysis.
  • Speedier data import and analysis. Tableau's new data engine works based on Hyper technology. You can see now faster to import and analyze large data sets with Tableau.
  • Hundreds of thousands of records being imported per second, as well as being visualized in real-time as the import process continued. This engine developed based on feedback from the user community.
  • It supports natural language queries.
  • Tableau is aiming for true natural speech, not merely being able to type in questions that require using exact field names and functions.
  • The example is you can ask questions like Tell me the cheapest houses in near California.
  • Tableau would suggest visualizations and other analyses based on your data set. Pre-built recommended dashboards from cloud services, including combining data from multiple services.


Also read

Tableau 9 for data science-Real life data science exercises

Comments

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

Big Data: Top Cloud Computing Interview Questions (1 of 4)

Python placeholder '_' Perfect Way to Use it