refactor: fortune_status_statistics.md

Use tables to better display statistical results
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Moon
2024-03-06 23:42:30 +08:00
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2 changed files with 26 additions and 30 deletions

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# Distribution of fortune
### 2000 IPs for 365 days, two groups in total
| Fortune Status | Percentage (1st time) | Percentage (2nd time) |
|-----------------|------------------------|------------------------|
| 大吉 | 20.33% | 20.30% |
| 中吉 | 14.37% | 14.34% |
| 小吉 | 10.57% | 10.59% |
| 吉 | 14.49% | 14.44% |
| 末吉 | 10.14% | 10.24% |
| 中平 | 14.29% | 14.40% |
| 凶 | 8.64% | 8.60% |
| 大凶 | 7.17% | 7.09% |
# Distribution statistics of daily fortune events
Statistical method: The sum of the number of fortune events that occurred for 2,000 random IPs on the same day.
The x-axis is the index value and the y-axis is the number of times.
| 宜 (Good Fortune) | 忌 (Bad Fortune) |
|------------------------------------------------|----------------------------------------------|
| ![Good Fortune](./good_fortune_statistics.png) | ![Bad Fortune](./bad_fortune_statistics.png) |
[Statistics code](./main.js)

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# 運勢出現分佈
### 2000個IP 365天 共兩組
大吉: 20.33%
中吉: 14.37%
小吉: 10.57%
吉: 14.49%
末吉: 10.14%
中平: 14.29%
凶: 8.64%
大凶: 7.17%
大吉: 20.30%
中吉: 14.34%
小吉: 10.59%
吉: 14.44%
末吉: 10.24%
中平: 14.40%
凶: 8.60%
大凶: 7.09%
# 當天宜忌出現分佈統計
### 2000個IP 共兩組
統計方法隨機2000個IP在同一天內出現的宜忌項目總數和
![](./good_fortune_statistics.png)
![](./bad_fortune_statistics.png)
[統計程式](./main.js)