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Democratizing Application Development with AppSheet

You're reading from   Democratizing Application Development with AppSheet A citizen developer's guide to building rapid low-code apps with the powerful features of AppSheet

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803241173
Length 396 pages
Edition 1st Edition
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Authors (3):
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Suvrutt Gurjar Suvrutt Gurjar
Author Profile Icon Suvrutt Gurjar
Suvrutt Gurjar
Koichi Tsuji Koichi Tsuji
Author Profile Icon Koichi Tsuji
Koichi Tsuji
Takuya Miyai Takuya Miyai
Author Profile Icon Takuya Miyai
Takuya Miyai
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1 – Introduction and Getting Started
2. Chapter 1: Getting Started with AppSheet FREE CHAPTER 3. Part 2 – App Editor and Main Features
4. Chapter 2: Understanding App Editor and Data Sources 5. Chapter 3: Presenting App Data with UX/Views 6. Chapter 4: Manipulating Data with Functions and Expressions 7. Chapter 5: Manipulating Data with Behaviors and Actions 8. Chapter 6: Controlling App Users and Data Security 9. Chapter 7: Managing the App Environment 10. Part 3 – Advanced Features and External Services
11. Chapter 8: Automating Recurring Data Changes and Scheduling Tasks 12. Chapter 9: Using Intelligence and Advanced Features 13. Chapter 10: Extending App Capabilities with Third-Party Services 14. Part 4 – App Templates and Tricks for App Building
15. Chapter 11: Building More Apps with App Templates 16. Chapter 12: Tips and Tricks 17. Chapter 13: Appendix 18. Index 19. Other Books You May Enjoy

Preparing your data in the right format

Before building a new app with AppSheet, the data source for your app needs to be in place. Throughout this book, we are using Google Sheets as the data source for our sample app and demonstration. To proceed, please make sure you have a spreadsheet for your own exercise to start to build your application, and ensure the data is stored in a tabular format. A tabular format is simply information presented in the form of a table with rows and columns, where the first row at the top always represents the name of columns and each row represents a subset of the data. A quick way to see whether your data is in a tabular format is to check whether a new subset of the data will be appended at the last row as a new record, instead of being added as a new column.

Figure 2.1 – Monthly income and cost table in a tabular format

Figure 2.1 is an example table, presenting the monthly income and cost for a company in simplified...

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