Writing Stats is a simple app to help you understand your writing.
Type or paste some text into the text area on the left-hand side. You can also load text from a file or URL.
To load a local file, click the Browse button. After you select a file from
disk, the app will display it in the text area.
To load text from a URL, enter the address into the textbox and click Load.
After you have some text, click Run to perform the analysis. Results are
organized into boxes on the right-hand side.
Click on chart components to reveal additional information.
The first analysis box displays simple counters for the number of paragraphs, sentences, and words in the input text.
If you want to exclude some text from the analysis, add a # or % character at the start of a paragraph.
To focus on a section, use markers %start% and %end% at the start of a paragraph to demarcate analysis boundaries.
The structure box shows a bar plot with the number of words in each sentence.
Long sentences can be hard to understand. Tall spikes in the plot may thus indicate areas for revision.
Bars in the plot are color-coded by paragraph. Long stretches of same-color bars may be signs to split complex paragraphs into smaller parts.
The frequent words analysis displays the most commonly used words. High-frequency words can bring out the topic/focus of your writing. But they may also indicate poor vocabulary.
The first plot shows frequencies of words anywhere in a sentence. Small words like ‘the’ or ‘in’ are omitted; remaining words are ordered by decreasing frequency.
The second plot focuses on the leading words within sentences. This plot includes small words like “The” or “In”.
"The frequent words analysis ..."
"The first plot shows frequencies ..."
"The second plot focuses on ..."
These examples highlight repeated sentence structure.
k-mers are sequences of characters. They may capture entire words or only portions thereof. For example, the sequence ‘errifi’ is a 6-mer (it contains six characters) of the word ‘terrific’.
Enriched k-mers are sequences that are over-represented in a sentence or paragraph. Enrichment can be an intentional technique to create emphasis. However, repeated k-mers may also indicate repetitive style.
In the first plot, unusual k-mers are identified per sentence. Numeric scores represent the relative k-mer frequency in a sentence compared to the whole text.
"If the difference between two numbers is not zero, then they are different."
All the words in this sentence are distinct, but the k-mer 'differ' is repeated twice.
The second plot shows unusual k-mers in paragraphs. Technically, the statistic is the chi-square.
Here you can explore text patterns of interest to you. Just write a word or k-mer to display all the sentences matching that pattern.
You can search for patterns using regular expressions.
For example, to search for words that start with 'no', enter the expression ^no
As another example, to search for words that end with 'ly', enter ly$
Writing Stats provides some unique writing aids, but it draws inspiration from existing tools.
Hemingway app scores text for readability. It also helps identify problem words and phrases.
Grammarly performs spelling and grammar checks.