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https://github.com/dms-codes/letters_counter
Letter Frequency Analyzer This Python script analyzes the frequency of letters in a given text and returns the top three most frequently occurring letters.
https://github.com/dms-codes/letters_counter
frequency letter python
Last synced: 2 days ago
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Letter Frequency Analyzer This Python script analyzes the frequency of letters in a given text and returns the top three most frequently occurring letters.
- Host: GitHub
- URL: https://github.com/dms-codes/letters_counter
- Owner: dms-codes
- Created: 2022-09-23T15:30:28.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-01T10:22:25.000Z (over 1 year ago)
- Last Synced: 2023-10-01T11:37:01.699Z (over 1 year ago)
- Topics: frequency, letter, python
- Language: Python
- Homepage: https://github.com/dms-codes/letters_counter
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Letter Frequency Analyzer
This Python script analyzes the frequency of letters in a given text and returns the top three most frequently occurring letters.
## Usage
1. Replace the `words` variable with the text you want to analyze.
```python
words = "The little red fox jumped over a fence and bit a python"
```2. Run the script.
3. The script will process the text and create a dictionary (`res`) to store the frequency of each letter (case-insensitive).
4. It then sorts the dictionary items by frequency in descending order and returns the top three most frequently occurring letters along with their frequencies.
5. The result will be displayed in the console.
6. You can adjust the input text in the `words` variable to analyze the letter frequency of different texts.
## Example
For the given input text:
```
The little red fox jumped over a fence and bit a python
```The script will output the top three most frequently occurring letters and their frequencies:
```
[('e', 7), ('t', 5), ('o', 4)]
```## License
This script is provided under the [MIT License](LICENSE).
```You can customize the script and README.md file as needed, and use it to analyze the letter frequency of different texts.