將統計彙總套用到時間序列資料

PostgreSQL 的時間序列分析

Jasmin Ludolf

Content Developer, DataCamp

統計彙總

  • 彙總函式:MIN(), MAX(), SUM(), AVG(), COUNT()
  • 統計彙總:平均與中位數

四個人在看著呈現分析與統計視覺化的看板的插圖。

PostgreSQL 的時間序列分析

計算平均數

SELECT
  AVG(views)::INTEGER as avg_views
  title
FROM dc_news_fact
JOIN dc_news_dim USING(id)
GROUP BY title
ORDER BY avg_views DESC;
|avg_views|title                      |
|---------|---------------------------|
|      207|For the Wealthiest, a Pr...|
|       12|Pet surrenders on rise a...|
|       12|Argentina's New Presiden...|
|        7|These 5 charts prove tha...|
|        7|How Is the Economy Doing...|
PostgreSQL 的時間序列分析

每日平均瀏覽數

WITH day_views AS (
  SELECT id, ts::DATE AS date, SUM(views) AS views
  FROM dc_news_fact
  GROUP BY id, date
)
SELECT
  AVG(views)::INTEGER AS avg
  title
FROM day_views JOIN dc_news_dim USING(id)
GROUP BY title
ORDER BY avg DESC;
PostgreSQL 的時間序列分析

每日平均瀏覽數

| avg|title                                                            |
|----|-----------------------------------------------------------------|
|9855|For the Wealthiest, a Private Tax System That Saves Them Billions|
| 579|Pet surrenders on rise as Fort McMurray's economy falls          |
| 574|Argentina's New President Moves Swiftly to Shake Up the Economy  |
| 352|How Is the Economy Doing? Politics May Decide Your Answer        |
| 348|These 5 charts prove that the economy does better under ...      |
PostgreSQL 的時間序列分析

每日平均瀏覽數

SELECT
  (SUM(views)/COUNT(DISTINCT ts::DATE))::INTEGER as avg,
  title
FROM dc_news_fact JOIN dc_news_dim USING(id)
GROUP BY title 
ORDER BY avg DESC;
|avg |title                                                            |
|----|-----------------------------------------------------------------|
|9855|For the Wealthiest, a Private Tax System That Saves Them Billions|
| 579|Pet surrenders on rise as Fort McMurray's economy falls          |
| 574|Argentina's New President Moves Swiftly to Shake Up the Economy  |
...
PostgreSQL 的時間序列分析

離散與連續中位數

  • 離散中位數:最接近中間位置的第一個值

  • 連續中位數:將資料集一分為二的值

元素個數為奇數

  • 序列 = (1, 2, 3, 4, 5)
  • 離散中位數 = 3
  • 連續中位數 = 3

元素個數為偶數

  • 序列 = (1, 2, 3, 4)
  • 離散中位數 = 2
  • 連續中位數 = 2.5
PostgreSQL 的時間序列分析

依序集合彙總函式

  • PERCENTILE_DISC()
  • PERCENTILE_CONT()
  • 依序集合彙總函式:PERCENTILE_DISC(fraction) WITHIN GROUP (ORDER BY field)
SELECT
  PERCENTILE_CONT(0.5) WITHIN GROUP
  (ORDER BY value) AS median_cont,
  PERCENTILE_DISC(0.5) WITHIN GROUP
  (ORDER BY value) AS median_disc
FROM
(
  VALUES
  (1,1), (1,2), (1,3), (1,4), (1,5),
  (2,1), (2,5), (2,7), (2,11), (2,11)
) AS t (id, value)
GROUP BY id;
PostgreSQL 的時間序列分析

依序集合彙總函式

|median_cont|median_disc|
|-----------|-----------|
|        3.0|          3|
|        7.0|          7|
PostgreSQL 的時間序列分析

中位數、分位數、百分位數、四分位

  • 中位數是一種百分位數
  • 百分位數是一種分位數

 

  • 分位數:將樣本切成近乎等分的子集合
    • 四分位(四等分)
    • 十分位(十等分)
PostgreSQL 的時間序列分析

計算四分位數

SELECT
  PERCENTILE_DISC(0.25) WITHIN GROUP (ORDER BY value) AS ptile_25,
  PERCENTILE_DISC(0.5) WITHIN GROUP (ORDER BY value) AS ptile_50,
  PERCENTILE_DISC(0.75) WITHIN GROUP (ORDER BY value) AS ptile_75
FROM
(
  VALUES 
  (1,1), (1,2), (1,3), (1,4), (1,5)
) AS t (id, value)
GROUP BY id;
|ptile_25|ptile_50|ptile_75|
|--------|--------|--------|
|       2|       3|       4|
PostgreSQL 的時間序列分析

計算離散四分位數陣列

SELECT
  PERCENTILE_DISC(ARRAY[0.25, 0.5, 0.75]) 
  WITHIN GROUP (ORDER BY value) AS median_disc
FROM (
  VALUES
  (1,1), (1,2), (1,3), (1,4), (1,5) )
  AS t (id, value)
GROUP BY id;
|median_disc|
|-----------|
|{2,3,4}    |
PostgreSQL 的時間序列分析

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PostgreSQL 的時間序列分析

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