Welcome to the Column Types Overview for the wpDataTables plugin! This page provides a summary of all the column types available in our plugin. Click on each column type to explore detailed information and features. At the bottom of this page, you will find a sample table showcasing all these column types.
Different column types:
1. String columns
String columns are designed to store and display textual data such as names, descriptions, and comments.
Learn more about string columns
2. Integer columns
Integer columns are used to store whole numbers. They are perfect for representing quantities, IDs, and counts.
Learn more about integer columns
3. Float columns
Float columns hold decimal numbers, which are useful for values that require precision, such as ratings or measurements.
Learn more about float columns
4. Date columns
Date columns are used to store calendar dates. This type is suitable for recording dates like birthdates, event dates, and deadlines.
5. DateTime columns
DateTime columns capture both date and time information. They are ideal for scheduling events, logging activities, or recording timestamps.
6. Image columns
Image columns allow you to display images within your table. This feature is great for profile pictures, product images, and visual content.
Learn more about image columns
7. E-mail link columns
E-mail Link columns hold email addresses and create clickable mailto links, allowing users to send emails directly from the table.
Learn more about E-mail link columns
8. URL link columns
URL Link columns store hyperlinks to external websites or resources. This column type enables you to create clickable links for easy access to online content.
Learn more about URL link columns
9. Attachment columns
Attachment columns let users link to downloadable files such as resumes, reports, or other documents. This feature is useful for sharing additional resources.
Learn more about adding attachment to tables.
10. Time columns
Time columns store specific times of the day. They are useful for tracking appointment times, work hours, or event durations.
Here’s a manual table that illustrates each of the column types listed above. This example highlights how these columns can be effectively utilized in practical scenarios.
| wdt_ID | wdt_created_by | wdt_created_at | wdt_last_edited_by | wdt_last_edited_at | Name | Age | Date of Birth | GPA | Profile Picture | Interview DateTime | Website | CV | Application Submitted: | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sara | 06/08/2024 11:11 AM | Sara | 12/08/2024 12:44 PM | Jane Doe | 29 | 15/02/1994 | 3.75 |  |
20/08/2024 12:00 AM | [email protected] | Jane's Financial Report | 09:29 AM | |
| 2 | Sara | 06/08/2024 11:11 AM | Sara | 12/08/2024 12:46 PM | Michael Smith | 35 | 20/06/1988 | 3.60 |  |
21/08/2024 12:00 AM | [email protected] | Michaels' Statistics | 07:29 PM | |
| 3 | Sara | 06/08/2024 11:11 AM | Sara | 12/08/2024 12:51 PM | Emily Johnson | 42 | 30/04/1981 | 3.85 |  |
22/08/2024 12:00 AM | [email protected] | Emily's Market Research | 01:29 AM | |
| Name | Age | Date of Birth | GPA | Interview DateTime | Website | CV | Application Submitted: |
