Natural data languages (NDLs) are a powerful tool for interacting with data. They allow users to query data using natural language, making it easy for people of all levels of technical expertise to access and analyze information.
Obsidian
Obsidian is a free and open-source note-taking app that supports NDLs. It allows users to create notes in Markdown, which is a simple markup language that is easy to learn. Obsidian also supports a number of plugins that can enhance its functionality, including plugins that allow users to query data using NDLs.
Time and Color
Two of the most useful features of NDLs are the ability to query data by time and by color. This can be done using the following syntax:
-
time:followed by a date or time range -
color:followed by a color
For example, the following query would return all notes that were created in the last week:
time:last week
The following query would return all notes that are tagged with the color green:
color:green
Change
NDLs can also be used to query data that has changed over time. This can be done using the following syntax:
change:since [date or time]
For example, the following query would return all notes that have been changed since last week:
change:since last week
Why Natural Data Languages Matter
NDLs matter because they make it easy for people of all levels of technical expertise to access and analyze information. They can be used to query data from a variety of sources, including databases, spreadsheets, and text files.
Benefits of Natural Data Languages
NDLs offer a number of benefits, including:
- Easy to use: NDLs are easy to learn and use, even for people who have no experience with programming.
- Powerful: NDLs are a powerful tool for querying data. They can be used to retrieve information from a variety of sources, including databases, spreadsheets, and text files.
- Flexible: NDLs are flexible and can be used to query data in a variety of ways. They can be used to retrieve simple information, such as the number of customers in a database, or more complex information, such as the trends in sales over time.
How to Use Natural Data Languages
To use NDLs, you first need to install a plugin that supports them. Once you have installed the plugin, you can start querying data using natural language.
Tips and Tricks
Here are a few tips and tricks for using NDLs:
- Use specific language: When querying data, be as specific as possible. This will help you get the most accurate results.
- Use filters: Filters can be used to narrow down your results. For example, you can use a filter to only return notes that are tagged with a certain color.
- Use sorting: Sorting can be used to organize your results. For example, you can sort your results by date or by title.
Step-by-Step Approach to Using Natural Data Languages
To use NDLs, follow these steps:
- Install a plugin that supports NDLs.
- Open the data source that you want to query.
- Start typing your query in natural language.
- Press Enter to execute your query.
Example Applications
Here are a few example applications of NDLs:
- Customer service: NDLs can be used to quickly and easily find information about customers, such as their contact information, purchase history, and support tickets.
- Sales: NDLs can be used to track sales data, such as the number of sales, the average sale value, and the top-selling products.
- Marketing: NDLs can be used to track marketing data, such as the number of visitors to a website, the number of leads generated, and the number of conversions.
Creative New Word: DataScribing
DataScribing is a new word that we have created to describe the process of using NDLs to query data. DataScribing is a powerful tool that can be used to access and analyze information quickly and easily.
Tables
| Feature | Description |
|---|---|
| Time | Query data by time range |
| Color | Query data by color |
| Change | Query data that has changed over time |
| Filters | Narrow down your results |
| Sorting | Organize your results |
| Example Application | Use Case |
|---|---|
| Customer service | Find information about customers |
| Sales | Track sales data |
| Marketing | Track marketing data |
Conclusion
NDLs are a powerful tool for interacting with data. They are easy to use, powerful, and flexible. NDLs can be used to query data from a variety of sources, including databases, spreadsheets, and text files. They can be used to retrieve simple information, such as the number of customers in a database, or more complex information, such as the trends in sales over time.