Set time frame for SRS Item Info, Review Info, and Accuracy Info:
Tip: Click a date data point on one of these charts and use arrow keys to move through single dates.
SRS Item Info
Settings
Review Info
Settings
Average "Reviews Per Day" chart over days.
Accuracy Info
Settings
Average all accuracy charts over days.
Time Info
Settings
Item Type DataSRS Stage Data
Average time chart over days.
Info Table
Settings
Column time span of months and days.
Change time interval offset (shift table):
Offset:
Interval
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Start Date
End Date
Reviews
↳ 部首
↳ 漢字
↳ 単語
Lessons
↳ 部首
↳ 漢字
↳ 単語
Correct*
↳ 部首
↳ 漢字
↳ 単語
Accuracy
↳ 部首
↳ 漢字
↳ 単語
↳ 意味
↳ 部首
↳ 漢字
↳ 単語
↳ 読み
↳ 部首
↳ 漢字
↳ 単語
* Correct is the percentages of items correctly answered in both reading and meaning first try which thus rise in SRS stage (this is the percentage shown at the end of reviews); Accuracy is the percentage of correct answers given out of the total amount of answers, including double wrong answers as well as reading and meaning answers (this is the percentage shown while doing reviews; used by WK stats)
Word Info
Tip: Click data points to be able to scroll through the word data and to be able to click on individual words to be led to their respective WaniKani site.
Word Walls
User Info
Combined Averages
Word Progress
四字熟語 (Yojijukugo)
These idioms in the form of four character compounds are called 四字熟語. You should already be able to read these:
This is a WaniKani statistics website similar to WK stats. Its goal is to provide the user with more information about their WaniKani achievements. It focuses primarily on showing the user their personal Japanese learning history with WaniKani but also displays some different statistics from all categories.
Contact
If you find some bugs or have an idea for some other stats just @ me in the WaniKani community (@saraqael). Preferably, leave a comment on the main thread for this web app.
Credits
@UInt2048 for implementing Level Projections and being a great contributor to this project as a whole. @Hubbit200 for helping out in all areas, such as design and feature implementation. @rfindley for creating the WaniKani Open Framework. And also everyone else who is always commenting in the main thread, thank you!