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I suggest a radially new approach with crosstab() from the additional module tablefunc. You need to install it once per database. Detailed instructions:

• PostgreSQL Crosstab Query

SELECT k.name, keyword_id, project_id, now()::date AS the_date
     , t AS today, y As yesterday, w AS week, m AS month
FROM   crosstab(
 $$SELECT rn
        , pk.keyword_id
        , pk.project_id
        , d.created_at
        , COALESCE(pr.pos, 0) AS pos
   FROM  (SELECT *, row_number() OVER () AS rn FROM project_keyword) pk
   CROSS  JOIN (
      VALUES
         (now()::date)
       , (now()::date - 1)
       , (now()::date - 7)
       ,((now() - interval '1 month')::date)
     ) d(created_at)
   LEFT JOIN (
      SELECT keyword_id
           , project_id
           , created_at::date AS created_at
           , min(position) AS pos
      FROM   project_report
      GROUP  BY keyword_id, project_id, created_at::date
      ) pr USING (keyword_id, project_id, created_at)
   ORDER  BY pk.rn, d.created_at$$

   ,$$VALUES
         (now()::date)
       , (now()::date - 1)
       , (now()::date - 7)
       , ((now() - interval '1 month')::date)$$
   ) ct (rn int, keyword_id int, project_id int
       , t int, y int, w int, m int)
JOIN   keyword k USING (keyword_id);

Returns:

name    keyword_id   project_id   the_date     today   yesterday   week   month
Cheese  1            1            2014-07-11   1       1           1      0
Monitor 2            1            2014-07-11   2       2           2      0
Apple   3            1            2014-07-11   9       9           9      0
Apple1  4            1            2014-07-11   0       0           0      0
Iphone  5            1            2014-07-11   0       33          34     0