So I have a table (person), that contains columns such as persons name, age, eye-color, favorite movie.
How do I find the most popular eye color(s), returning just the eye color (not the count) using SQL (Microsft Access), without using top as there might be multiple colours with the same count.
Thank you
SELECT
EyeColor
FROM
Person
GROUP BY
EyeColor
HAVING
COUNT(*) = (
SELECT MAX(i.EyeColorCount) FROM (
SELECT COUNT(*) AS EyeColorCount FROM Person GROUP BY EyeColor
) AS i
)
In Access, I think you need something on the lines of:
SELECT First(t.Eyecolor) AS FirstOfEyeColor
FROM (SELECT p.EyeColor, Count(p.EyeColor) AS C
FROM Person p
GROUP BY p.EyeColor
ORDER BY Count(p.EyeColor) DESC) AS t;
Related
I have read in various websites about the count() function but I still cannot make this work.
I made a small table with (id, name, last name, age) and I need to retrieve all columns plus a new one. In this new column I want to display how many times a name shows up or repeats itself in the table.
I have made test and can retrieve but only COLUMN NAME with the count column, but I haven't been able to retrieve all data from the table.
Currently I have this
select a.n_showsup, p.*
from [test1].[dbo].[person] p,
(select count(*) n_showsup
from [test1].[dbo].[person])a
This gives me all data on output but on the column n_showsup it gives me just the number of rows, now I know this is because I'm missing a GROUP BY but then when I write group by NAME it shows me a lot of records. This is an example of what I need:
You can use window functions, if you RDBMS supports them:
select t.*, count(*) over(partition by name) n_showsup
from mytable t
Alternatively, you can join the table with an aggregation query that counts the number of occurences of each name:
select t.*, x.n_showsup
from mytable t
inner join (select name, count(*) n_showsup from mytable group by name) x
on x.name = t.name
While the window function approach (#GMB's answer) is the right way to go, thinking through this from a subquery approach (like you were headed towards) would look something like:
select p.*, a.n_showsup
from [test1].[dbo].[person] p
INNER JOIN (
select name, count(*) n_showsup
from [test1].[dbo].[person]
GROUP BY name
) a ON p.name = a.name
This is VERY close to what you had, the difference is that we are grouping that subquery by name (so we get a count by name) and we can use that in the join criteria which we do with the ON clause on that INNER JOIN.
You should really never ever use a comma in your FROM clause. Instead use a JOIN.
I need to show the ID (which is unique in every case) and the name, which is sometimes different. In my code I only want to show the names IF they are unique.
I tried with both distinct and count(*)=1, nothing solves my problem.
SELECT DISTINCT id, name
FROM person
GROUP BY id, name
HAVING count(name) = 1;
The result is still showing the names multiple times
By "unique", I assume you mean names that only appear once. That is not what "distinct" means in SQL; the use of distinct is to remove duplicates (either for counting or in a result set).
If so:
SELECT MAX(id), name
FROM person
GROUP BY name
HAVING COUNT(*) = 1;
If your DBMS supports it, you can use a window function:
SELECT id, name
FROM (
SELECT id, name, COUNT(*) OVER(PARTITION BY name) AS NameCount -- get count of each name
FROM person
) src
WHERE NameCount = 1
If not, you can do:
SELECT id, name
FROM person
WHERE name IN (
SELECT name
FROM person
GROUP BY name
HAVING COUNT(*) = 1 -- Only get names that occur once
)
I have the following SQL related question:
Let us assume I have the following simple data table:
I would like to identify the most common street address and place it in column 3:
I think this should be fairly straight-forward using COUNT? Not quite sure how to go about it though. Any help is greatly appreciated
Regards
This is a very long method that I just wrote. It only lists the most frequent address. You have to get these values and insert them into the table. See if it works for you:
select * from
(select d.company, count(d.address) as final, c.maxcount,d.address
from dbo.test d inner join
(select a.company,max(a.add_count) as maxcount from
(select company,address,count(address) as add_count from dbo.test group by company,address)a
group by a.company) c
on (d.company = c.company)
group by d.company,c.maxcount,d.address)e
where e.maxcount=e.final
Here is a query in standard SQL. It first counts records per company and address, then ranks them per company giving the most often occurring address rank #1. Then it only keeps those best ranked address records, joins with the table again and shows the results.
select
mytable.company,
mytable.address,
ranked.address as most_common_address
from mytable
join
(
select
company,
address,
row_number() over (partition by company oder by cnt desc) as rn
from
(
select
company,
address,
count(*) over (partition by company, address) as cnt
from mytable
) counted
) ranked on ranked.rn = 1
and ranked.company = mytable.company
and ranked.address = mytable.address;
This select statement will give you the most frequent occurrence. Let us call this A.
SELECT `value`,
COUNT(`value`) AS `value_occurrence`
FROM `my_table`
GROUP BY `value`
ORDER BY `value_occurrence` DESC
LIMIT 1;
To INSERT this into your table,
INSERT INTO db (col1, col2, col3) VALUES (val1, val2, A)
Note that you want that whole select statment for A!
You don't mention your DBMS. Here is a solution for Oracle.
select
company,
address,
(
select stats_mode(address)
from mytable this_company_only
where this_company_only.company = mytable.company
) as most_common_address
from mytable;
This looks a bit clumsy, because STATS_MODE is only available as an aggregate function, not as an analytic window function.
I have the following problem (simplified):
I have a table that contains animals, e.g:
ID Type Birthday
1 Dog 1.1.2011
2 Cat 2.1.2009
3 Horse 5.1.2009
4 Cat 10.6.1999
5 Horse 9.3.2006
I know that all the animals belong to one "family". From each family I now want to see all the offspring, but I do not want to see the entry for the "founder of the family".
So for the simple sample above I just want to see this:
ID Type Birthday
2 Cat 2.1.2009
3 Horse 5.1.2009
So far I haven't been able to find a way of grouping the entries and then removing the first entry from each group. I was only able to find how to remove specific lines.
Is it even possible to solve this problem?
Thank you very much for your help. It is much appreciated.
A simple SQL(not necessary efficient can be:)
select
id, type, birthday
from animals
left join
(select type, min(birthday) min_birthday
from animals
group by type) a
on a.type=animals.type and a.min_birthday = animals.birthday
where a.type is null;
For best efficiency you can use an analytical function:
select id, type, birthday
from(
select
id,
type,
birthday,
row_number() over (partition by type order by birthday) as rnk
from animals
) a
where rnk >=2
For more examples with analytical functions, you can read this article
In SQL Server you can do:
select
id, type, birthday
from (
select
id, type, birthday,
row_number() over (partition by type order by birthday asc) r
from
animals
) q
where r > 1
The row_number() functions is rumoured to work also in DB2, but I don't know under which circumstances/versions.
The exists variant:
select id, type, birthday
from animals a
where exists (select null from animals e
where e.type = a.type and e.birthday < a.birthday)
(Edited, following comments.)
Say I have a list of student names and their marks. I want to find out the highest mark and the student, how can I write one select statement to do that?
Assuming you mean marks rather than remarks, use:
select name, mark
from students
where mark = (
select max(mark)
from students
)
This will generally result in a fairly efficient query. The subquery should be executed once only (unless your DBMS is brain-dead) and the result fed into the second query. You may want to ensure that you have an index on the mark column.
If you don't want to use a subquery:
SELECT name, remark
FROM students
ORDER BY remark DESC
LIMIT 1
select name, remarks
from student
where remarks =(select max(remarks) from student)
If you are using a database that supports windowing,
SELECT name, mark FROM
(SELECT name, mark, rank() AS rk
FROM student_marks OVER (ORDER BY mark DESC)
) AS subqry
WHERE subqry.rk=1;
This probably does not run as fast as the mark=(SELECT MAX(mark)... style query, but it would be worth checking out.
In SQL Server:
SELECT TOP 1 WITH TIES *
FROM Students
ORDER BY Mark DESC
This will return all the students that have the highest mark, whether there is just one of them or more than one. If you want only one row, drop the WITH TIES specifier. (But the actual row is not guaranteed to be always the same then.)
You can create view and join it with original table:
V1
select id , Max(columName)
from t1
group by id
select * from t1
where t1.id = V1.id and t1.columName = V1.columName
this is right if you need Max Values with related info
I recently had a need for something "kind of similar" to this post and wanted to share a technique. Say you have an Order and OrderDetail table, and you want to return info from the Order table along with the product name associated with the highest priced detail row. Here's a way to pull that off without subtables, RANK, etc.. The key is to create and aggregate that combined the key and value from the detailed table and then just max on that and substring out the value you want.
create table CustOrder(ID int)
create table CustOrderDetail(OrderID int, Price money, ProdName varchar(20))
insert into CustOrder(ID) values(1)
insert into CustOrderDetail(OrderID,Price,ProdName) values(1,10,'AAA')
insert into CustOrderDetail(OrderID,Price,ProdName) values(1,50,'BBB')
insert into CustOrderDetail(OrderID,Price,ProdName) values(1,10,'CCC')
select
o.ID,
JoinAggregate=max(convert(varchar,od.price)+'*'+od.prodName),
maxProd=
SUBSTRING(
max(convert(varchar,od.price)+'*'+od.prodName)
,CHARINDEX('*',max(convert(varchar,od.price)+'*'+convert(varchar,od.prodName))
)+1,9999)
from
CustOrder o
inner join CustOrderDetail od on od.orderID = o.ID
group by
o.ID