I am running a query where the results look something like this:
JOHN JILL GARY JANE JEFF MICK
RED | NOPE | OK | OK | OK | OK | OK |
ORANGE | OK | OK | OK | OK | OK | OK |
YELLOW | OK | OK | NOPE | OK | NOPE | OK |
GREEN | OK | OK | OK | OK | OK | OK |
BLUE | OK | OK | OK | OK | OK | OK |
INDIGO | OK | NOPE | OK | OK | OK | OK |
VIOLET | OK | OK | OK | OK | OK | NOPE |
I want to filter out the records where all columns are OK. I only want to see results where one or more of the columns contain a NOPE result.
I have tried lots of different variations where this <> to that or that = this and I give up, I need help.
WHERE JOHN+JILL+GARY+JANE+JEFF+MICK <> 'okokokokokok'
assuming that the number of columns is constant then a where clause looking for where all are OK with a not flip should do it.
WHERE (NOT ((JOHN = 'OK') AND (JILL = 'OK') AND (GARY = 'OK') AND (JANE = 'OK') AND (JEFF= 'OK') AND (MICK = 'OK')))
Perhaps a WHERE clause that looks like this:
WHERE JOHN = 'NOPE'
OR JILL = 'NOPE'
OR GARY = 'NOPE'
OR JANE = 'NOPE'
OR JEFF = 'NOPE'
OR MICK = 'NOPE'
Related
I wasn't able to google my way to figuring this out. I'm still very new to TSQL and I thought I could solve this with a self joins and sub queries. But I'm getting to many results and don't know how to tame them. I appreciate the help. It's nice to see all the different methods people suggest for the same problem. I know I get tunnel vision when trying to solve a problem, when it's better to try it from a different angle.
My goal is this. I want to Return the HouseholdID of all Households whose PersonID's HairColor don't all match each other. Whatever the color may be. So below HouseHoldID 200 would return since their PersonID's HairColor differ from each other. Unlike HouseHoldID 300 whose PersonID's HairColor do match each other.
HouseholdMember
+------------+-----------------+-----------+
| MemberID | HouseholdID | PersonID |
+------------+-----------------+-----------+
| 100 | 200 | 1 |
| 101 | 200 | 2 |
| 102 | 200 | 3 |
| 103 | 300 | 4 |
| 104 | 300 | 5 |
| 105 | 300 | 6 |
+------------+-----------------+-----------+
Person
+------------+-----------------+-----------+------------+
| PersonID | FirstName | LastName | HairColor |
+------------+-----------------+-----------+------------+
| 1 | Josh | Smith | Brown |
| 2 | Jerry | Smith | Black |
| 3 | Ethan | Smith | Red |
| 4 | Mike | Jones | Black |
| 5 | Devan | Jones | Black |
| 6 | Todd | Jones | Black |
+------------+-----------------+-----------+------------+
Household
+---------------+-----------------+----------------+
| HouseholdID | Name | Address |
+---------------+-----------------+----------------+
| 200 | Smith's | 123 Candy Dr |
| 300 | Jones's | 812 Dentist Ln |
+---------------+-----------------+----------------+
One option uses aggregation:
WITH cte AS (
SELECT hm.HouseholdID
FROM HouseholdMember hm
INNER JOIN Person p ON hm.PersonID = p.PersonID
GROUP BY hm.HouseholdID
HAVING COUNT(DISTINCT p.HairColor) > 1
)
SELECT *
FROM Household
WHERE HouseholdID IN (SELECT HouseholdID FROM cte);
Demo
I have question regarding how to make a calculated pivot table from several query results on PostgreSQL. I've managed to make three queries results but don't have any idea how to combine and calculate all the data into a single table. I've tried to google it but found out that most of the question is about how to make a pivot table from a single table, which I'm able to do using sum, case, and group by. Well, Here's the simplified version of my query results
Query from query 1 which contains gross value
| city | code | gross |
|-------|------|--------|
| city1 | 21 | 194793 |
| city1 | 25 | 139241 |
| city1 | 28 | 231365 |
| city2 | 21 | 282025 |
| city2 | 25 | 334458 |
| city2 | 28 | 410852 |
| city3 | 21 | 109237 |
Result from query 2 which contains positive adjustments
| city | code | adj_pos |
|-------|------|---------|
| city1 | 21 | 16259 |
| city1 | 25 | 13634 |
| city1 | 28 | 45854 |
| city2 | 25 | 18060 |
| city2 | 28 | 18220 |
Result from query 3 which contains negative adjustments
| city | code | adj_neg |
|-------|------|---------|
| city1 | 25 | 23364 |
| city2 | 21 | 27478 |
| city2 | 25 | 23474 |
And what I want to to is to create something like this
| city | 21_gross | 25_gross | 28_gross | 21_pos | 25_pos | 28_pos | 21_neg | 25_neg | 28_neg |
|-------|----------|----------|----------|--------|--------|--------|--------|--------|--------|
| city1 | 194793 | 139241 | 231365 | 16259 | 13634 | 45854 | | 23364 | |
| city2 | 282025 | 334458 | 410852 | | 18060 | 18220 | 27478 | 23474 | |
| city3 | 109237 | | | | | | | | |
or probably final calculation which come from gross + positive adjustment -
negative adjustment from each city on each code like this
| city | 21_nett | 25_nett | 28_nett |
|-------|---------|---------|---------|
| city1 | 211052 | 129511 | 277219 |
| city2 | 254547 | 329044 | 429072 |
| city3 | 109237 | 0 | 0 |
Any suggestion will be appreciated. Thank you!
I think the best you can achieve is to get the pivoting part as JSON - http://sqlfiddle.com/#!17/b7d64/23:
select
city,
json_object_agg(
code,
coalesce(gross,0) + coalesce(adj_pos,0) - coalesce(adj_neg,0)
) as js
from q1
left join q2 using (city,code)
left join q3 using (city,code)
group by city
I would like to subtract promoters and detractors in Tableau by creating a new column. Thanks for all the help!
Customer Type Table (I would like to create the NPS field as shown below):
+---------+------------+----------+-----------+--------------+
| Quarter | Detractors | Passives | Promoters | NPS |
+---------+------------+----------+-----------+--------------+
| Q1 15 | 40.56 | 23.56 | 35.79 | =35.79-40.56 |
| ... | ... | ... | ... | ... |
+---------+------------+----------+-----------+--------------+
Simply create a calculated field (called NPS):
[Promoters] - [Detractors]
This will add a new field to every row of your partition called NPS.
Check out the Tableau online help on calculated fields - this is a skill well worth learning.
I understand the OPs question. The data comes in like this:
+---------+---------------+------+
| Quarter | Customer Type | Score|
+---------+------------+---------+
| Q1 15 | Detractors | 25 |
| Q1 15 | Promoters | 32 |
| Q1 15 | Passives | 45 |
| Q1 15 | Detractors | 17 |
| Q1 15 | Detractors | 28 |
| ... | ... | ... |
+---------+------------+---------+
And when brought into Tableau, the [Customer Type] field is put in the Column shelf and this arranges the data like the table below. The OP wants to calculate the [NPS] column (Promoters - Detractors).
+---------+------------+----------+-----------+--------------+
| Quarter | Detractors | Passives | Promoters | NPS |
+---------+------------+----------+-----------+--------------+
| Q1 15 | 40.56 | 23.56 | 35.79 | =35.79-40.56 |
| ... | ... | ... | ... | ... |
+---------+------------+----------+-----------+--------------+
I hope this clarifies. I am stuck with a similar situation (I want a column that shows the difference between 2015 and 2016):
+---------+-------+-------+------------+
| Measure | 2015 | 2016 | Difference |
+---------+---------------+------------+
| # Hires | 100 | 115 | 15 |
| # Terms | 9 | 6 | 3 |
+---------+---------------+------------+
I believe the steps are similar. I hope someone can help.
Hello and warm greetings to you all,
I am having some challenges writing a complex query in posgresql. the fact is i'm having problem writing this particular query period, and your help is kindly needed. lets get to it.
here are my tables
[products_tb] [client_tb] [sales_tb]
+--------------+ +-------------+ +-------------+--------------+-----+
| product_name | | client_name | | client_name | product_name | qty |
+--------------+ +-------------+ +-------------+--------------+-----+
| shoe | | john | | john | shoe | 20 |
+--------------+ +-------------+ +-------------+--------------+-----+
| belt | | bob | | john | belt | 9 |
+--------------+ +-------------+ +-------------+--------------+-----+
| kim | | bob | shoe | 2 |
+-------------+ +-------------+--------------+-----+
| bob | belt | 98 |
+-------------+--------------+-----+
| kim | shoe | 46 |
+-------------+--------------+-----+
| kim | belt | 3 |
+-------------+--------------+-----+
[query output] # this output will be displayed using php and html
+----------+-------+------+-----+-----+
| products | Total | john | bob | kim |
+----------+-------+------+-----+-----+
| shoe | 68 | 20 | 2 | 46 |
+----------+-------+------+-----+-----+
| belt | 110 | 9 | 98 | 3 |
+----------+-------+------+-----+-----+
I am trying to write a query which will allow me to produce the table [query output]. Any help will be much appreciated.
Thank you very much.
A version without using cross_tab:
select p.product_name, sum(s.qty),
sum(CASE WHEN c.client_name='john' THEN s.qty END) as john,
sum(CASE WHEN c.client_name='bob' THEN s.qty END) as bob,
sum(CASE WHEN c.client_name='kim' THEN s.qty END) as kim
from products_tb AS p
JOIN sales_tb AS s ON p.product_name=s.product_name
JOIN clients_tb AS c ON c.client_name=s.client_name
GROUP BY p.product_name;
http://sqlfiddle.com/#!12/afc9a/10
Here's one way of doing it using standard SQL:
SELECT st.product_name AS products,
SUM(st.qty) AS Total,
(SELECT SUM(st_john.qty)
FROM sales_tb st_john
WHERE client_name = 'john' AND st_john.product_name = st.product_name) AS john,
(SELECT SUM(st_bob.qty)
FROM sales_tb st_bob
WHERE client_name = 'bob' AND st_bob.product_name = st.product_name) AS bob,
(SELECT SUM(st_kim.qty)
FROM sales_tb st_kim
WHERE client_name = 'kim' AND st_kim.product_name = st.product_name) AS kim
FROM sales_tb st
GROUP BY product_name
See SQL Fiddle Demo
I have been trying to simplify a semi-complex table that I have by adding named fields, without a problem, until I get to the vsum operator. I had the formula set to $M=vsum($3..#-4) which works, however I am continuously having to add and remove items from those fields, which changes the column numbering. This results in me having to change the field specifications of the vsum range after every update/change. I thus tried naming the top field and bottom fields with the thought of supplying the named variables to vsum, giving me a table similar to the following:
| / | <> | <> |
|---+--------+---------|
| | Title1 | Title 2 |
|---+--------+---------|
| _ | | START |
| | name | 1000 |
| | name | 3456 |
| | name | 123 |
| ^ | | END |
|---+--------+---------|
| _ | | MT |
| # | Total | #ERROR |
| # | | |
|---+--------+---------|
#+TBLFM: $MT=vsum($START..$END)
This is the debug formula output from the above table:
Substitution history of formula
Orig: vsum($START..$END)
$xyz-> vsum((1000)..(123))
#r$c-> vsum((1000)..(123))
$1-> vsum((1000)..(123))
-----------^
Error: Expected `)'
I have tried embrasing the named field variables in parenthesis, and several other ways but have thus far not been able to get this to work. I am hoping I am just missing something and being blind, but perhaps this is not possible to do?
I have also tried the sum-up function with no success as well. Thank you in advance for your assistance.
The following solution works by using #II and #III to refer to all entries between the second and third hline.
| / | <> | <> |
|---+--------+---------|
| | Title1 | Title 2 |
|---+--------+---------|
| | name | 1000 |
| | name | 3456 |
| | name | 123 |
|---+--------+---------|
| _ | | MT |
| # | Total | 4579 |
| # | | |
|---+--------+---------|
#+TBLFM: $MT=vsum(#II..#III)
Documentation: http://orgmode.org/manual/References.html#References