<a target="_blank" href="https://youtu.be/hSacbwmVsCs">Data formatting</a> refers to the process of organizing and structuring data in a specific way to make it more usable, readable, and compatible with various software applications and systems. Proper data formatting is crucial for data analysis, storage, and communication. Here are some common aspects of data formatting:
<ol>
<li>Data Types: Data formatting includes specifying the data type for each piece of information. Common data types include integers, floats, strings, dates, and booleans. Using the appropriate data type ensures data accuracy and efficient storage.
</li>
<li>Data Structure: Data can be organized into different structures, such as tables, lists, arrays, or key-value pairs. The choice of structure depends on the specific use case and the type of data being stored or processed.
</li>
<li>Delimiters: When working with text-based data like CSV (Comma-Separated Values) or TSV (Tab-Separated Values) files, you need to specify the delimiter (e.g., comma, tab, semicolon) that separates data fields.
</li>
<li>Data Encoding: When dealing with character data, you must consider character encoding standards like UTF-8, UTF-16, or ASCII. Choosing the appropriate encoding ensures that special characters are correctly represented.
</li>
</ol>

[**Data formatting**](https://youtu.be/hSacbwmVsCs) refers to the process of organizing and structuring data in a specific way to make it more usable, readable, and compatible with various software applications and systems. Proper data formatting is crucial for data analysis, storage, and communication. Here are some common aspects of data formatting:

1. **Data Types:** Data formatting includes specifying the data type for each piece of information. Common data types include integers, floats, strings, dates, and booleans. Using the appropriate data type ensures data accuracy and efficient storage.
    
2. **Data Structure:** Data can be organized into different structures, such as tables, lists, arrays, or key-value pairs. The choice of structure depends on the specific use case and the type of data being stored or processed.
    
3. **Delimiters:** When working with text-based data like CSV (Comma-Separated Values) or TSV (Tab-Separated Values) files, you need to specify the delimiter (e.g., comma, tab, semicolon) that separates data fields.
    
4. **Data Encoding:** When dealing with character data, you must consider character encoding standards like UTF-8, UTF-16, or ASCII. Choosing the appropriate encoding ensures that special characters are correctly represented.

Data Formatting