I have a table, where every row has its own date (year of purchase), I should select the purchases grouped into year intervals.
Example:
Zetor 1993
Zetor 1993
JOHN DEERE 2001
JOHN DEERE 2001
JOHN DEERE 2001
Means I have 2 zetor purchase in 1993 and 3 john deere purchase in 2001. I should select the count of the pruchases grouped into these year intervals:
<=1959
1960-1969
1970-1979
1980-1989
1990-1994
1995-1999
2000-2004
2004-2009
2010-2013
I have no idea how should I do this.
The result should look like this on the example above:
<=1959
1960-1969 0
1970-1979 0
1980-1989 0
1990-1994 2
1995-1999 0
2000-2004 3
2004-2009 0
2010-2013 0
Create table with intervals:
tblRanges([RangeName],[Begins],[Ends])
Populate it with your intervals
Use GROUP BY with your table tblPurchases([Item],YearOfDeal):
SELECT tblRanges.RangeName, Count(tblPurchases.YearOfDeal)
FROM tblRanges INNER JOIN tblPurchases ON (tblRanges.Begins <= tblPurchases.Year) AND (tblRanges.Ends >= tblPurchases.YearOfDeal)
GROUP BY tblRanges.RangeName;
You may wish to consider Partition for future use:
SELECT Partition([Year],1960,2014,10) AS [Group], Count(Stock.Year) AS CountOfYear
FROM Stock
GROUP BY Partition([Year],1960,2014,10)
Input:
Tractor Year
Zetor 1993
Zetor 1993
JOHN DEERE 2001
JOHN DEERE 2001
JOHN DEERE 2001
Pre 59 1945
1960 1960
Result:
Group CountOfYear
:1959 1
1960:1969 1
1990:1999 2
2000:2009 3
Reference: http://office.microsoft.com/en-ie/access-help/partition-function-HA001228892.aspx
Related
I have a table called balances. I want to get the most recent balance for each user, forever every financial year and its corresponding date it was updated.
name
balance
financial_year
date_updated
Bob
20
2021
2021-04-03
Bob
58
2019
2019-11-13
Bob
43
2019
2022-01-24
Bob
-4
2019
2019-12-04
James
92
2021
2021-09-11
James
86
2021
2021-08-18
James
33
2019
2019-03-24
James
46
2019
2019-02-12
James
59
2019
2019-08-12
So my desired output would be:
name
balance
financial_year
date_updated
Bob
20
2021
2021-04-03
Bob
43
2019
2022-01-24
James
92
2021
2021-09-11
James
59
2019
2019-08-12
I've attempted this but found that using max() sometimes does not work since I use it across multiple columns
SELECT name, max(balance), financial_year, max(date_updated)
FROM balances
group by name, financial_year
select NAME
,BALANCE
,FINANCIAL_YEAR
,DATE_UPDATED
from (
select t.*
,row_number() over(partition by name, financial_year order by date_updated desc) as rn
from t
) t
where rn = 1
NAME
BALANCE
FINANCIAL_YEAR
DATE_UPDATED
Bob
43
2019
24-JAN-22
Bob
20
2021
03-APR-21
James
59
2019
12-AUG-19
James
92
2021
11-SEP-21
Fiddle
The problem is not that you use max() across multiple columns but the fact, that max() returns the maximum value. In your example, the highest balance of Bob in financial year 2019 was 58. The 'highest' (last) date_updated was 2022-01-24, but at this time the balance was 43.
What you're looking for is the balance at the time the balance was updated last within a financial year per user, that is something like
SELECT b.name, b.financial_year, b.balance, b.date_updated
FROM balances b
INNER JOIN (SELECT name, financial_year, max(date_updated) last_updated
FROM balances GROUP BY name, financial_year) u
ON b.name = u.name AND b.financial_year = u.financial_year AND b.date_updated = u.last_updated;
I'm trying to create a table to add all Medals won by the participant countries in the Olympics.
I scraped the data from Wikipedia and have something similar to this:
Year
Country_Name
Host_city
Host_Country
Gold
Silver
Bronze
1986
146
Los Angeles
United States
41
32
30
1986
67
Los Angeles
United States
12
12
12
And so on
I double-checked the data for some years, and it seems very accurate. The Country_Name has an ID because I have a Country_ID table that I created and updated the names with the ID:
Country_ID
Country_Name
1986
1
1986
2
So far so good. Now I want to create a new table where I'll have all countries in a specific year and the total medals for that country. I managed to easily do that for countries that participated in an edition, here's an example for the 1896 edition:
INSERT INTO Cumultative_Medals_by_Year(Country_ID, Year, Culmutative_Gold, Culmutative_Silver, Culmutative_Bronze, Total_Medals)
SELECT a.Country_Name, a.Year, SUM(a.Gold) As Cumultative_Gold, SUM(a.Silver) As Cumultative_Silver, SUM(a.Bronze) As Cumultative_Bronze, SUM(a.Gold) + SUM(a.Silver) + SUM(a.Bronze) AS Total_Medals
FROM Country_Medals a
Where a.Year >= 1896 AND Year < 1900
Group By a.Country_Name, a.Year
And I'll have this table:
Country_ID
Year
Cumultative_Gold
Cumultative_Silver
Cumultative_Bronze
Total_Medals
6
1986
2
0
0
5
7
1986
2
1
2
5
35
1986
1
2
3
6
46
1986
5
4
2
11
49
1986
6
5
2
13
51
1986
2
3
2
7
52
1986
10
18
19
47
58
1986
2
1
3
6
85
1986
1
0
1
2
131
1986
1
2
0
3
146
1986
11
7
2
20
To add the other editions I just have to edit the dates, "Where a.Year >= 1900 AND Year < 1904", for example.
INSERT INTO Cumultative_Medals_by_Year(Country_ID, Year, Culmutative_Gold, Culmutative_Silver, Culmutative_Bronze, Total_Medals)
SELECT a.Country_Name, a.Year, SUM(a.Gold) As Cumultative_Gold, SUM(a.Silver) As Cumultative_Silver, SUM(a.Bronze) As Cumultative_Bronze, SUM(a.Gold) + SUM(a.Silver) + SUM(a.Bronze) AS Total_Medals
FROM Country_Medals a
Where a.Year >= 1900 AND Year < 1904
Group By a.Country_Name, a.Year
And the table will grow.
But I'd like to also add all the other countries for the year 1896. This way I'll have a full record of all countries. So for example, you see that Country 1 has no medals in the 1896 Olympic edition, but I'd like to also add it there, even if the sum becomes NULL (where I'll update with a 0).
Why do I want that? I'd like to do an Animated Bar Chart Race, and with the data I have, some counties go "away" from the race. For example, the US didn't participate in the 1980 Olympics, so for a brief moment, the Bar for the US in the chart goes away just to return in 1984 (when it participated again). Another example is the Soviet Union, even though they do not participate anymore, it's the second participant with most medals won (only behind the US), but as the country does not have more participation after 1988, the bar just goes away after that year. By keeping a record of medals for all countries in all editions would prevent that from happening.
I'm pretty sure there are lots of countries that have won metals that were not around in 1896. But if you want a row for every country and every year, then generate the rows you want using cross join. Then join in the available information:
select c.Country_Name, y.Year,
SUM(cm.Gold) As Cumulative_Gold,
SUM(cm.Silver) As Cumulative_Silver,
SUM(cm.Bronze) As Cumulative_Bronze,
COALESCE(SUM(cm.Gold), 0) + COALESCE(SUM(cm.Silver), 0) + COALESCE(SUM(cm.Bronze), 0) AS Total_Medals
from (select distinct year from Country_Medals) y cross join
(select distinct country_name from country_medals) c left join
country_medals cm
on cm.year = y.year and
cm.country_name = c.country_name
group By c.Country_Name, y.Year
In the project I am currently working on in my company, I would like to show sales related KPIs together with Customer Score metric on SQL / Tableau / BigQuery
The primary key is order id in both tables. However, order date and the date we measure Customer Score may be different. For example the the sales information for an order that is released in Feb 2020 will be aggregated in Feb 2020, however if the customer survey is made in March 2020, the Customer Score metric must be aggregated in March 2020. And what I would like to achieve in the relational database is as follows:
Sales:
Order ID
Order Date(m/d/yyyy)
Sales ($)
1000
1/1/2021
1000
1001
2/1/2021
2000
1002
3/1/2021
1500
1003
4/1/2021
1700
1004
5/1/2021
1800
1005
6/1/2021
900
1006
7/1/2021
1600
1007
8/1/2021
1900
Customer Score Table:
Order ID
Customer Survey Date(m/d/yyyy)
Customer Score
1000
3/1/2021
8
1001
3/1/2021
7
1002
4/1/2021
3
1003
6/1/2021
6
1004
6/1/2021
5
1005
7/1/2021
3
1006
9/1/2021
1
1007
8/1/2021
7
Expected Output:
KPI
Jan-21
Feb-21
Mar-21
Apr-21
May-21
June-21
July-21
Aug-21
Sep-21
Sales($)
1000
2000
1500
1700
1800
900
1600
1900
AVG Customer Score
7.5
3
5.5
3
7
1
I couldn't find a way to do this, because order date and survey date may/may not be the same.
For sample data and expected output, click here.
I think what you want to do is aggregate your results to the month (KPI) first before joining, as opposed to joining on the ORDER_ID
For example:
with order_month as (
select date_trunc(order_date, MONTH) as KPI, sum(sales) as sales
from `testing.sales`
group by 1
),
customer_score_month as (
select date_trunc(customer_survey_date, MONTH) as KPI, avg(customer_score) as avg_customer_score
from `testing.customer_score`
group by 1
)
select coalesce(order_month.KPI,customer_score_month.KPI) as KPI, sales, avg_customer_score
from order_month
full outer join customer_score_month
on order_month.KPI = customer_score_month.KPI
order by 1 asc
Here, we aggregate the total sales for each month based on the order date, then we aggregate the average customer score for each month based on the date the score was submitted. Now we can join these two on the month value.
This results in a table like this:
KPI
sales
avg_customer_score
2021-01-01
1000
null
2021-02-01
2000
null
2021-03-01
1500
7.5
2021-04-01
1700
3.0
2021-05-01
1800
null
2021-06-01
900
5.5
2021-07-01
1600
3.0
2021-08-01
1900
7.0
2021-09-01
null
1.0
You can pivot the results of this table in Tableau, or leverage a case statement to pull out each month into its own column - I can elaborate more if that will be helpful
Good morning, I've searched in the forum one doubt that I have but the results that I've seen didn't give me a solution.
I have two tables.
CARS:
Id Model
1 Seat
2 Audi
3 Mercedes
4 Ford
BREAKDOWNS:
IdBd Description Date Price IdCar
1 Engine 01/01/2020 500 € 3
2 Battery 05/01/2020 0 € 1
3 Wheel's change 10/02/2020 110,25 € 4
4 Electronic system 15/03/2020 100 € 2
5 Brake failure 20/05/2020 0 € 4
6 Engine 25/05/2020 400 € 1
I wanna make a query that shows the number of breakdowns by month with 0€ of cost.
I have this query:
SELECT Year(breakdowns.[Date]) AS YEAR, StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH, Count(*) AS [BREAKDOWNS]
FROM cars LEFT JOIN breakdowns ON (cars.Id = breakdowns.IdCar AND breakdowns.[Price]=0)
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
HAVING ((Year([breakdowns].[Date]))=[Insert a year:])
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]);
And the result is (if I put year '2020'):
YEAR MONTH BREAKDOWNS
2020 January 1
2020 May 1
And I want:
YEAR MONTH BREAKDOWNS
2020 January 1
2020 February 0
2020 March 0
2020 May 1
Thanks!
The HAVING condition should be in WHERE (otherwise it changes the Outer to an Inner join). But as long as you don't use columns from cars there's no need to join it.
To get rows for months without a zero price you should switch to conditional aggregation (Access doesn't support Standard SQL CASE, but IIF?).
SELECT Year(breakdowns.[Date]) AS YEAR,
StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH,
SUM(CASE WHEN breakdowns.[Price]=0 THEN 1 ELSE 0 END) AS [BREAKDOWNS]
FROM breakdowns
JOIN cars
ON (cars.Id = breakdowns.IdCar)
WHERE ((Year([breakdowns].[Date]))=[Insert a year:])
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]
I have a set of data that lists each employee ever employed in a certain type of department at many cities, and it lists each employee's begin and end date.
For example:
name city_id start_date end_date
-----------------------------------------
Joe Public 54 3-19-1994 9-1-2002
Suzi Que 54 10-1-1995 9-1-2005
What I want is each city's employee count for each year in a particular period. For example, if this was all the data for city 54, then I'd show this as the query results if I wanted to show city 54's employee count for the years 1990-2005:
city_id year employee_count
-----------------------------
54 1990 0
54 1991 0
54 1992 0
54 1993 0
54 1994 1
54 1995 2
54 1996 2
54 1997 2
54 1998 2
54 1999 2
54 2000 2
54 2001 2
54 2002 2
54 2003 1
54 2004 1
54 2005 1
(Note that I will have many cities, so the primary key here would be city and year unless I want to have a separate id column.)
Is there an efficient SQL query to do this? All I can think of is a series of UNIONed queries, with one query for each year I wanted to get numbers for.
My dataset has a few hundred cities and 178,000 employee records. I need to find a few decades' worth of this yearly data for each city on my dataset.
replace 54 with your parameter
select
<city_id>, c.y, count(t.city_id)
from generate_series(1990, 2005) as c(y)
left outer join Table1 as t on
c.y between extract(year from t.start_date) and extract(year from t.end_date) and
t.city_id = <city_id>
group by c.y
order by c.y
sql fiddle demo