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Business Intelligence with Microsoft Power BI - with Material - Column from Examples - Alphanumeric

Business Intelligence with Microsoft Power BI - with Material - Column from Examples - Alphanumeric

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains how to handle alpha numerical data using Power Query. It covers extracting specific elements like first names, numbers, and text from mixed data. The tutorial demonstrates using the 'column from example' feature to simplify data extraction and highlights the importance of training the tool to recognize patterns. It also discusses the backend functions involved in the process and concludes with the benefits of using Power Query for data cleaning and visualization.

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5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What feature is used to extract specific parts of alpha numerical data?

Column from example

Data filter

Text splitter

Number extractor

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key challenge when extracting the last number from mixed data?

Finding the middle number

Teaching the system to recognize patterns

Identifying the first text

Separating text from numbers

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is mentioned as being used in the backend for data extraction?

Nested M functions

VLOOKUP

Data merge

Text join

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is necessary to improve the accuracy of text extraction from alpha numerical data?

Continuous training of the system

Using more columns

Increasing data size

Reducing text length

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one benefit of using Power Query for data handling?

It is only for text data

It helps in creating visuals and dashboards

It requires no training

It can only handle numerical data

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