histogram.sql provides functions which make it easy to generate text-based histograms from within PostgreSQL!
By David @wolever Wolever
For example:
psql# WITH email_lengths AS (
-# SELECT length(email) AS length
-# FROM auth_user
-# )
-# SELECT * FROM show_histogram((SELECT histogram(length, 12, 32, 10) FROM email_lengths))
bucket | range | count | overflow | bar | cumbar | cumsum | cumpct
--------+---------+-------+----------+--------------------------------------+--------------------------------+--------+-------------------
0 | [12,14) | 17 | -4 | =======-- | == | 21 | 0.056
1 | [14,16) | 83 | 0 | ==================================== | ======== | 104 | 0.277333333333333
2 | [16,18) | 18 | 0 | ======== | ========== | 122 | 0.325333333333333
3 | [18,20) | 34 | 0 | =============== | ============ | 156 | 0.416
4 | [20,22) | 46 | 0 | ==================== | ================ | 202 | 0.538666666666667
5 | [22,24) | 44 | 0 | =================== | ==================== | 246 | 0.656
6 | [24,26) | 61 | 0 | ========================== | ========================= | 307 | 0.818666666666667
7 | [26,28) | 26 | 0 | =========== | =========================== | 333 | 0.888
8 | [28,30) | 13 | 0 | ====== | ============================ | 346 | 0.922666666666667
9 | [30,32) | 11 | 18 | =====++++++++ | ============================== | 375 | 1
(10 rows)Install with:
$ curl https://raw.githubusercontent.com/wolever/pg-histogram/master/histogram.sql | psqlThe count column is the number of values which were within the bucket's range. For example, if the range is [10, 12), 10 and 11 would fall inside the bucket's range.
The overflow column is the number of values which fell outside the bucket's range. It is always zero except for the first bucket, where it may be negative, and the last bucket, where it may be positive. For example, if the first bucket's range is [10, 12) and the values are 9, 10, 11, then the first bucket's count will be 2 (for 10 and 11), and the first bucket's overflow will be -1 (for 9).
The bar column is a bar graph showing the count and overflow for each bucket. The overflow, if present, will be shown with - for the first bucket, and + on the last bucket.
The cumbar column is a bar graph showing the cumulative sum sum (ie, where the last bar will always be 100%).
The cumsum and cumpct are the cumulative sum and cumulative percent.
The histogram aggregate function accepts three arguments:
histogram(value, minimum_value, maximum_value, number_of_buckets)And returns histogram_result[], which can be passed to show_histogram:
psql# SELECT UNNEST(histogram(generate_series, 10, 20, 10)) from generate_series(5, 25);
unnest
----------------------
(1,-5,6,0,"[10,11)")
(1,0,1,1,"[11,12)")
(1,0,1,2,"[12,13)")
(1,0,1,3,"[13,14)")
...
(10 rows)
psql# SELECT * FROM show_histogram((SELECT histogram(generate_series, 10, 20, 10) from generate_series(5, 25)));
bucket | range | count | overflow | bar | cumbar | cumsum | cumpct
--------+---------+-------+----------+-------------------------------------+--------------------------------+--------+-------------------
0 | [10,11) | 1 | -5 | =====------------------------- | ========= | 6 | 0.285714285714286
1 | [11,12) | 1 | 0 | ===== | ========== | 7 | 0.333333333333333
...
8 | [18,19) | 1 | 0 | ===== | ==================== | 14 | 0.666666666666667
9 | [19,20) | 1 | 6 | =====++++++++++++++++++++++++++++++ | ============================== | 21 | 1
(10 rows)The histogram_version function returns the current version:
psql# SELECT histogram_version();
histogram_version
-------------------
0.1.0
(1 row)