Open bobbingwide opened 7 months ago
localhost/rcorguk_wp246/wp_posts/ https://c17064.sgvps.net/phpmyadmin/index.php?route=/sql&db=rcorguk_wp246&table=wp_posts&pos=0
Showing rows 0 - 22 (23 total, Query took 0.0076 seconds.)
SELECT length( post_title), count(*) FROM wp_posts
where post_type = 'bigram' and post_status = 'publish' group by length( post_title );
length( post_title) count(*)
3 8
5 6
6 9
7 37
8 108
9 243
10 387
11 492
12 459
13 506
14 404
15 329
16 224
17 156
18 115
19 72
20 48
21 18
22 12
23 8
24 5
25 1
55 1
Count of B-words
SELECT length(meta_value), meta_value, count(*)
FROM `wp_postmeta`
where meta_key = 'B-word'
group by length( meta_value );
localhost/rcorguk_wp246/wp_postmeta/ https://c17064.sgvps.net/phpmyadmin/index.php?route=/sql&db=rcorguk_wp246&table=wp_postmeta&pos=0
Showing rows 0 - 12 (13 total, Query took 0.0035 seconds.)
SELECT length(meta_value), count(*) FROM wp_postmeta
where meta_key = 'B-word' group by length( meta_value );
length(meta_value) count(*)
1 7
2 16
3 95
4 217
5 224
6 186
7 162
8 87
9 61
10 16
11 12
12 5
20 1
Count of S-words
SELECT length(meta_value), meta_value, count(*)
FROM `wp_postmeta`
where meta_key = 'S-word' group by length( meta_value );
Aha! There are 3648 bigrams but only 1089 S-Words and B-words that leaves 2559 posts which don't have S-words or B-words.
These are Sampled Bigrams where the S-word and B-word have been saved as taxonomy terms and don't have post meta values for the same things.
So, we can't use the above SQL.
We have to use something more complicated.
Write some blocks which can be used to display information in Statistically boring.
Use SQL like this to display the chart of SB's counts by length
Perhaps another to count them by second letters?