EXCEL DATA: Using JSON Data

The video tutorial explains how to use Excel to parse and manage JSON data. It covers the basics of JSON, its universality, and how it can be integrated into Excel using Power Query. The tutorial demonstrates importing JSON data, converting it into tables, and using Excel's data management tools to sort and filter the data. Advanced techniques for handling large datasets, such as airline delays, are also discussed, showcasing the flexibility and power of Excel in data analysis.

What makes JSON a universal data format?

• It requires special software to be read.

• It is text-based and can be read by any system.

• It is only compatible with web applications.

• It is binary and can be read by any system.

What tool in Excel is used to import JSON data?

• Power Query

• Solver

• Macro Recorder

• Data Analysis Toolpak

What is the first step in converting JSON data to a table in Excel?

• Using the 'Text to Columns' feature

• Clicking 'Save As' and choosing Excel format

• Using the 'To Table' button in Power Query

• Manually typing the data into Excel

When handling complex JSON data, what is a crucial step to ensure correct data extraction?

• Ignoring the applied steps

• Choosing the correct entry point for the table

• Using only default settings

• Skipping the navigation step

What type of data was used as an example of complex JSON data?

• Weather data

• Stock market data

• Airline delays

• Social media posts

How can you sort data in Excel to find the most delayed flights?

• Sort by number of flights

• Sort by total minutes of delay

• Sort by carrier code

• Sort by airport code

Which airports were identified as having significant delays in the example?

• Miami and Orlando

• Boston and Philadelphia

• Atlanta and Chicago

• Los Angeles and San Francisco