1. scraping_text.py - data scraping.
2. data_cleaning.py - remove commas, emojis and duplicate comments.
3. plotting_graph.py - frequency analysis and plotting graph, where the y axis is the frequency of occurrence of the symbol, and x is the letter.
4. encryption.py - encrypt text by the method of frequency analysis and decryption using frequency analysis.
5. syllables_splitting.py - splitting words into syllables. To split words into syllables, I use rusyllab/rusyllab.py. It's from https://github.com/Koziev/rusyllab.
6. check_syllable.py - each incorrect word( you need to select it manually) is split into syllables and we search for the most similar syllables for each syllable.

Frequency of occurrence of symbols in the form of a graph:

Frequency of occurrence of characters in the form of a table:

Frequency of syllable occurrence:

https://habr.com/ru/post/513926/