Hello,
In this thread /t/Script-Request-Tracker-for-All-Reviews-Completed/9655/1 Druciakb requested a script to count all the reviews a user has done.
That was a pretty interesting idea, I thought, so I made a Greasmonkey/Tampermonkey userscript that puts a small section on the dashboard with a button to show a table of all the Radical/Kanji/Vocab reviews you have done.
It shows a table with a row for each of your levels, with total radical/Kanji/Vocab reviews and correct/incorrect totals, also a total of all reviews for each level. Then a main total at the bottom.
It uses the jQuery ajax functions so it creates the table and then the results populate as each level’s data is returned (the results are async of course). It takes a couple of seconds for mine to finish returning.
Update Aug 29 2015
Version 0.1.0
I have given this a bit of an overhaul.
By default it now counts reviews more like Wanikani does. There is one correct answer per review per item, and one reading/meaning pair per review for Kanji and Vocab.
There can be multiple wrong answers per review but this doesn’t affect the count, it does affect the accuracy.
Enter API key. If there is no API Key available the button will be red.
Once you enter your key it will be saved and the button will be green.
If you don’t want to have you API Key stored any more click the button, delete the key, and press OK. It wll be deleted from jStorage.
By default it now treats Kanji or Vocab Reading/Meaning pair as one review, the same as WK does. It also counts one correct answer per review session.
Accuracy is still based on total correct answers versus total incorrect answers.
Once you press the “Review Count Analysis” button it goes grey to avoid muliple sets of queries running at once. Pressing “Clear Results” enables it again.
I still think it is quite interesting to see how many time you have entered answers for items, so that option is still available. Open the Display Options and check the “Display as total answers entered” box.
It’s on Greasy Fork.
https://greasyfork.org/en/scripts/12018-wanikani-review-count-analysis