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@@ -7,7 +7,8 @@ Accessed either via the SQL Manager program on the laptop, the `psql` terminal c
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Have created an experimental table called `public.coup_tall_april` containing data from April 2017 in a "tall" format, using code from Jason:
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```sql
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-CREATE TABLE public.coup_tall_April AS
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+
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+CREATE TABLE public.coup_tall_april AS
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SELECT a.icp_id
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, a.read_date
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, c.period
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@@ -21,12 +22,15 @@ WHERE a.read_date >= to_date('01/04/2017','dd/mm/yyyy')
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and a.content_code ~ ('UN|CN|EG')
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GROUP BY 1, 2, 3
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ORDER BY 1, 2, 3;
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+
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```
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This data looks like:
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```sql
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+
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SELECT * FROM public.coup_tall_april limit 10;
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+
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```
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icp_id | read_date | period | kwh_tot | kwh_un | kwh_cn
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@@ -48,3 +52,131 @@ SELECT * FROM public.coup_tall_april limit 10;
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* `kwh_cn` is the demand in kwh that the company has some level of control over, e.g. by systems that turn off and on water heaters remotely. This ought to be relatively stable, although in many cases this will be 0.
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* `kwh_un` is the uncontrolled demand, i.e. the rest.
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* `kwh_tot` is the sum of the other kwh measurements for this half-hour
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+
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+## Statistics
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+
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+This dataset includes 34278 distinct ICPs: `SELECT COUNT(DISTINCT icp_id) FROM public.coup_tall_april;`
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+
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+Not every day has the same number of ICPs recorded for it(?):
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+
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+```sql
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+
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+SELECT read_date, COUNT(DISTINCT icp_id) AS d_icp
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+FROM public.coup_tall_april
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+GROUP BY read_date;
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+
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+```
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+
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+ read_date | d_icp
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+------------+-------
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+ 2017-04-01 | 34080
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+ 2017-04-02 | 34070
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+ 2017-04-03 | 34082
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+ 2017-04-04 | 34085
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+ 2017-04-05 | 34083
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+ 2017-04-06 | 34078
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+ 2017-04-07 | 34084
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+ 2017-04-08 | 34085
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+ 2017-04-09 | 34079
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+ 2017-04-10 | 34097
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+ 2017-04-11 | 34102
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+ 2017-04-12 | 34095
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+ 2017-04-13 | 34127
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+ 2017-04-14 | 34127
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+ 2017-04-15 | 34128
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+ 2017-04-16 | 34122
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+ 2017-04-17 | 34119
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+ 2017-04-18 | 34161
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+ 2017-04-19 | 34178
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+ 2017-04-20 | 34181
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+ 2017-04-21 | 34190
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+ 2017-04-22 | 34187
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+ 2017-04-23 | 34178
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+ 2017-04-24 | 34190
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+ 2017-04-25 | 34180
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+ 2017-04-26 | 34199
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+ 2017-04-27 | 34193
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+ 2017-04-28 | 34194
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+ 2017-04-29 | 34179
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+ 2017-04-30 | 34162
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+Days have similar averages (within the same month), but sometimes values are negative:
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+
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+```sql
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+
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+SELECT read_date, min(kwh_tot), Avg(kwh_tot), max(kwh_tot)
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+FROM public.coup_tall_april
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+GROUP BY read_date;
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+
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+```
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+
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+ read_date | min | avg | max
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+------------+---------+------------------------+--------------------
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+ 2017-04-01 | 0.0 | 0.41225447048611111114 | 30.928
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+ 2017-04-02 | 0.0 | 0.42826891265531748365 | 28.153
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+ 2017-04-03 | 0.0 | 0.43139900216145374882 | 28.041
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+ 2017-04-04 | 0.0 | 0.44293095264290254757 | 31.111
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+ 2017-04-05 | 0.0 | 0.44780382081976351847 | 29.100999999999999
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+ 2017-04-06 | 0.0 | 0.43275886569047479314 | 28.067
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+ 2017-04-07 | 0.0 | 0.42198233958748973126 | 37.413
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+ 2017-04-08 | 0.0 | 0.42289754718595667695 | 25.908
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+ 2017-04-09 | 0.0 | 0.43495351487230650355 | 30.373
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+ 2017-04-10 | 0.0 | 0.42881511692133227754 | 26.791
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+ 2017-04-11 | 0.0 | 0.42526183459425644637 | 35.234
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+ 2017-04-12 | -30.530 | 0.44193485420638412283 | 29.818
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+ 2017-04-13 | 0.0 | 0.44908520990222795247 | 31.721
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+ 2017-04-14 | 0.0 | 0.43110074745314071950 | 27.167
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+ 2017-04-15 | 0.0 | 0.41132879527074542899 | 30.746
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+ 2017-04-16 | 0.0 | 0.41155711552175527034 | 26.713
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+ 2017-04-17 | 0.0 | 0.42657600420586769836 | 27.751
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+ 2017-04-18 | 0.0 | 0.43113055579949845344 | 34.414
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+ 2017-04-19 | 0.0 | 0.43415263473579495584 | 26.547
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+ 2017-04-20 | 0.0 | 0.43513854431799342716 | 27.124
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+ 2017-04-21 | 0.0 | 0.43824147350589841087 | 30.365
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+ 2017-04-22 | 0.0 | 0.42576349014245180919 | 31.112
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+ 2017-04-23 | 0.0 | 0.44098844956307176160 | 31.099
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+ 2017-04-24 | 0.0 | 0.43441511284976113876 | 27.109
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+ 2017-04-25 | 0.0 | 0.43805378632728691245 | 25.776
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+ 2017-04-26 | 0.0 | 0.44017528594890688813 | 26.907
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+ 2017-04-27 | 0.0 | 0.44285652216828005733 | 29.544
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+ 2017-04-28 | 0.0 | 0.43437889688249400482 | 29.598
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+ 2017-04-29 | -31.624 | 0.45286084474384856201 | 31.874
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+ 2017-04-30 | 0.0 | 0.46408289668832816191 | 31.960
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+
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+Three values in this table are negative:
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+
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+```sql
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+
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+SELECT * FROM public.coup_tall_april WHERE kwh_tot < 0 OR kwh_un < 0 OR kwh_cn < 0;
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+
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+```
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+
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+ icp_id | read_date | period | kwh_tot | kwh_un | kwh_cn
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+---------+------------+--------+---------+---------+--------
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+ I017181 | 2017-04-12 | 19 | -30.530 | -30.585 | 0.055
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+ I019141 | 2017-04-29 | 37 | -31.445 | -31.445 | 0
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+ I019141 | 2017-04-29 | 38 | -31.624 | -31.624 | 0
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+
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+There are 334 values in this table where the `icp_id` ends in 17:
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+
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+```sql
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+
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+SELECT COUNT (DISTINCT icp_id) FROM public.coup_tall_april WHERE icp_id LIKE '%17';
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+
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+SELECT DISTINCT icp_id FROM public.coup_tall_april WHERE icp_id LIKE '%17' ORDER BY icp_id LIMIT 10;
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+
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+```
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+
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+ icp_id
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+---------
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+ I000117
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+ I000217
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+ I000417
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+ I000517
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+ I000617
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+ I000817
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+ I001117
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+ I001217
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+ I001317
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+ I001417
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