Android application 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 developed by JuziPie is listed under category Tools. According to Google Play 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 achieved more than 500,000 installs. 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 currently has 18,035 ratings with average rating value of 4.57. The current percentage of ratings achieved in last 30 days is 1.18%, percentage of ratings achieved in last 60 days is 2.57%. 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 has the current market position #29932 by number of ratings. A sample of the market history data for 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 can be found below. Last update on 2024-04-07.
| Title: | 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 |
|---|---|
| Developer: | JuziPie |
| Category: | Tools |
| Price: | Free |
| System: | Android |
| Total ratings: | 18035 |
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| Growth (30 days): | 1.18% |
| Growth (60 days): | 2.57% |
| Average rating: | 4.57 |
| Installs (achieved): | 500,000+ |
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| Installs (estimated): | 1,000,000 |
| 5 star ratings: | 14,245 |
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| 4 star ratings: | 2,131 |
| 3 star ratings: | 507 |
| 2 star ratings: | 169 |
| 1 star ratings: | 879 |
Screenshots
Download level stats
| 2021-08-14: | Android application 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 achieved 500,000 installs. |
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| 2020-02-01: | Android application 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 achieved 100,000 installs. |
| 2019-12-15: | Android application 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 achieved 50,000 installs. |
| 2019-10-02: | Android application 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 achieved 10,000 installs. |
| 2019-09-21: | Android application 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排 achieved 5,000 installs. |
Ratings
Number of ratings for 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排.
Number of ratings for 萬年曆-日曆老黃曆農民曆黃道吉日放假調休安排.
Installs (*estimated)
Estimated number of installs on Google Play.
Estimated number of installs on Google Play.
Average rating
Average rating value on Google Play. Given by active users of the application.
Average rating value on Google Play. Given by active users of the application.
Market lead percentage
Ratings count comparing to the market leading app.
Ratings count comparing to the market leading app.
Rating distribution
Rating distribution given by active users.
Rating distribution given by active users.
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