I have a crosstab query in MSAccess that displays the count of the occurrences of each column heading. I would like to substitute an 'X' in place of any integer.
I can change the word Count in both places of the TRANSFORM statement to First, and it will display the Column Heading in each row in place of the Count, but I cannot get it to insert the 'X' ...
Header looks like this:
| Site ID | 737 | 747 | 757 | ...
Result looks like this:
| Site 15 | 5 | 5 | 5 | ...
Desired result:
| Site 15 | X | X | X | ...
SQL:
TRANSFORM Count([tblPART-TO-AIRCRAFT].ACType) AS CountOfACType
SELECT [tblPART-TO-AIRCRAFT].[SITE ID]
FROM [tblPART-TO-AIRCRAFT]
GROUP BY [tblPART-TO-AIRCRAFT].[SITE ID]
PIVOT [tblPART-TO-AIRCRAFT].[ACType];
Consider:
TRANSFORM IIf(Count(*) IS NULL, Null, "X") AS CountOfACType
SELECT [tblPART-TO-AIRCRAFT].[SITE ID]
FROM [tblPART-TO-AIRCRAFT]
GROUP BY [tblPART-TO-AIRCRAFT].[SITE ID]
PIVOT [tblPART-TO-AIRCRAFT].[ACType];
Related
I am trying to create a custom SQL report that will give me a percentage of DispositionCodes that are clicked after a customer service rep ends a call with a customer.
I am currently using a COUNT Alias to count how many times a Disposition code is assigned to a customer call. I would then like to summarize that DispositionCount alias into another column called "Total". Then I would like to see the percentage of times that a disposition code is selected by calculating DispositionCount / Total. Is it possible to SUM an alias to give me a Total count, and then calculate a percentage based off of two Alias columns?
CURRENT QUERY:
SELECT
WrapupData,
ISNULL(WrapupData, 'No Dispos Code Entered') as DispositionCode,
COUNT(CASE WHEN WrapupData IS NULL THEN 0 ELSE 1 END) AS DispositionCount
FROM Termination_Call_Detail tcd
LEFT JOIN dbo.t_Call_Type ct ON ct.CallTypeID = tcd.CallTypeID
GROUP BY
WrapupData
CURRENT OUTPUT
+---------------------+-------------------------+---------------------+
| | | |
+---------------------+-------------------------+---------------------+
| WrapupData | DispositionCode | DispositionCount |
| NULL | No Dispos Code Entered | 8 |
| Appointment Request | Appointment Request | 3 |
+---------------------+-------------------------+---------------------+
DESIRED OUTPUT
+---------------------+-------------------------+------------------+------------------+
| WrapupData | DispositionCode | DispositionCount |Total | Percentage|
| NULL | No Dispos Code Entered | 8 | 11 | 72.72 |
| Appointment Request | Appointment Request | 3 | 11 | 27.27 |
+---------------------+-------------------------+------------------+------------------+
I have tried count(sum(WrapupData))
but WrapupData is varchar and invalid for sum operator.
I have also tried count(sum(DispositionCount))
but DispositionCount comes back as an Invalid column name (I'm assuming because it's an Alias and is only temporary)
Any help or suggestions would be greatly appreciated!
You could use analytic functions here:
SELECT
WrapupData,
ISNULL(WrapupData, 'No Dispos Code Entered') AS DispositionCode,
COUNT(WrapupData) AS DispositionCount,
SUM(COUNT(WrapupData)) OVER () AS Total,
100.0 * COUNT(WrapupData) / SUM(COUNT(WrapupDatalse)) OVER () AS Percentage
FROM Termination_Call_Detail tcd
LEFT JOIN dbo.t_Call_Type ct
ON ct.CallTypeID = tcd.CallTypeID
GROUP BY
WrapupData;
The here is to use SUM() with a window over the entire table, post aggregation, to find the total. We can also find the percentage by normalizing the count using this sum.
I have an MS Access Query which returns the following sample data:
+-----+------+------+
| Ref | ANS1 | ANS2 |
+-----+------+------+
| 123 | A | A |
| 234 | B | B |
| 345 | C | C |
| 456 | D | E |
| 567 | F | G |
| 678 | H | I |
+-----+------+------+
Is it possible to have Access return the overall percentage where ANS1 = ANS2?
So my new query would return:
50
I know how to get a count of the records returned by the original query, but not how to calculate the percentage.
Since you're looking for a percentage of some condition being met across the entire dataset, the task can be reduced to having a function return either 1 (when the condition is validated), or 0 (when the condition is not validated), and then calculating an average across all records.
This could be achieved in a number of ways, one example might be to use a basic iif statement:
select avg(iif(t.ans1=t.ans2,1,0)) from YourTable t
Or, using the knowledge that a boolean value in MS Access is represented using -1 (True) or 0 (False), the expression can be reduced to:
select -avg(t.ans1=t.ans2) from YourTable t
In each of the above, change YourTable to the name of your table.
If you know how to get a count, then apply that same knowledge twice:
SELECT Count([ANS1]) As MatchCount FROM [Data]
WHERE [ANS1] = [ANS2]
divided by the total count
SELECT Count([ANS1]) As AllCount FROM [Data]
To combine both of these in a basic SQL query, one needs a "dummy" query since Access doesn't allow selection of only raw data:
SELECT TOP 1
((SELECT Count([ANS1]) As MatchCount FROM [Data] WHERE [ANS1] = [ANS2])
/
(SELECT Count([ANS1]) As AllCount FROM [Data]))
AS MatchPercent
FROM [Data]
This of course assumes that there is at least one row... so it doesn't divide by zero.
I have 2 tables. The first table contains following columns: Start_latitude, start_longitude, end_latitude, end_longitude, sum. The sum column is empty and needs to be filled based on second table.
The second table contains 3 columns: point_latitude, point_longitude
Table 1
-------------------------
|45 | 50 | 46 | 51 | null|
----|---------------------
|45 | 54 | 46 | 57 | null|
--------------------------
Table2:
---------------
| 45.5 | 55.2 |
---------------
| 45.8 | 50.6 |
---------------
| 45.2 | 56 |
---------------
The null values in table1-row1 would be 1 while in row2 it would be 2. It is the count of number of points that lie within the bounding box.
I can do it in python by writing functions to read values between dataframes. How can this be done in Postgresql. This is a sample problem statement that I came up with for my situation.
Update
This version was tested on PostgreSql 9.3 using SQL Fiddle
UPDATE table1 a
SET sum = sub.point_count
FROM (SELECT a.start_lat, a.end_lat, a.start_lon, a.end_lon, COUNT(*) as point_count
FROM table1 a, table2 b
WHERE b.point_lat BETWEEN start_lat AND a.end_lat
AND b.point_lon BETWEEN a.start_lon AND a.end_lon
GROUP BY a.start_lat, a.end_lat, a.start_lon, a.end_lon) as sub
WHERE a.start_lat = sub.start_lat
AND a.end_lat = sub.end_lat
AND a.start_lon = sub.start_lon
AND a.end_lon = sub.end_lon;
Original answer
Here is my solution, it is tested on MySQL but there is nothing specific about this code so it should work on PostgreSql as well
UPDATE table1 a,
(SELECT a.start_lat, a.end_lat, a.start_lon, a.end_lon, COUNT(*) as count
FROM table1 a, table2 b
WHERE b.point_lat BETWEEN start_lat AND a.end_lat
AND b.point_lon BETWEEN a.start_lon AND a.end_lon
GROUP BY a.start_lat, a.end_lat, a.start_lon, a.end_lon) as sub
SET sum = count
WHERE a.start_lat = sub.start_lat
AND a.end_lat = sub.end_lat
AND a.start_lon = sub.start_lon
AND a.end_lon = sub.end_lon
Note that this query would be much shorter if table1 contained a PK Id column.
ID | Col2 | Col3 | SequenceNum
--------------------------------
1 | x | 12 | 5
2 | y | 11 | 6
3 | a | 45 | 7
100 | b | 23 | 8
101 | a | 16 | 9
102 | b | 28 | 10
4 | a | 9 | 11
5 | b | 26 | 12
6 | x | 100 | 13
I have an SSRS report at the moment which you can enter the ID for and it'll show you data for those ID's. For example lets say you enter start ID 2 end ID 5 it'll report back 2,3,4,5 with Col2 and Col3 data.
But what I really want to happen is for it to return 2,3,100,101,102,3,4,5
I believe may be some way to cross reference the SequenceNum column but I'm fairly new to SQL and SSRS can anyone help?
So an user would enter a parameters...
start-ID = 2 which has a SequenceNum of 6
and end-ID = 5 which has an SequenceNum of 12
Extract your starting and ending sequence numbers from value supplied by starting id and ending id respectively and use them in WHERE condition as below
DECLARE #StartingSeqNum INT, #EndingSeqNum
SELECT #StartingSeqNum = SeqNum FROM tableName WHERE ID = #start_id
SELECT #EndingSeqNum = SeqNum FROM tableName WHERE ID = #end_id
SELECT Col2,Col3
FROM tableName
WHERE SeqNum BETWEEN #StartingSeqNum AND #EndingSeqNum
As you are using SSRS you can specify a Value and a Label for your parameters.
Create a dataset with the following SQL as the source:
select distinct ID as Label
,SequenceNum as Value
from YourTable
order by SequenceNum
And then in the properties for your parameter, in Available Values select Get values from query and then select the above dataset. Set the Value field and Label field as your label and value columns and then click OK. You will need to do this for your start and end parameters, using the same dataset.
Your parameters will now be drop down menus that display the ID value to the user, but passes the SequenceNum value to your query. You can then use these to filter your main dataset.
I am trying to select the max value from one column, while grouping by another non-unique id column which has multiple duplicate values. The original database looks something like:
mukey | comppct_r | name | type
65789 | 20 | a | 7n
65789 | 15 | b | 8m
65789 | 1 | c | 1o
65790 | 10 | a | 7n
65790 | 26 | b | 8m
65790 | 5 | c | 1o
...
This works just fine using:
SELECT c.mukey, Max(c.comppct_r) AS ComponentPercent
FROM c
GROUP BY c.mukey;
Which returns a table like:
mukey | ComponentPercent
65789 | 20
65790 | 26
65791 | 50
65792 | 90
I want to be able to add other columns in without affecting the GROUP BY function, to include columns like name and type into the output table like:
mukey | comppct_r | name | type
65789 | 20 | a | 7n
65790 | 26 | b | 8m
65791 | 50 | c | 7n
65792 | 90 | d | 7n
but it always outputs an error saying I need to use an aggregate function with select statement. How should I go about doing this?
You have yourself a greatest-n-per-group problem. This is one of the possible solutions:
select c.mukey, c.comppct_r, c.name, c.type
from c yt
inner join(
select c.mukey, max(c.comppct_r) comppct_r
from c
group by c.mukey
) ss on c.mukey = ss.mukey and c.comppct_r= ss.comppct_r
Another possible approach, same output:
select c1.*
from c c1
left outer join c c2
on (c1.mukey = c2.mukey and c1.comppct_r < c2.comppct_r)
where c2.mukey is null;
There's a comprehensive and explanatory answer on the topic here: SQL Select only rows with Max Value on a Column
Any non-aggregate column should be there in Group By clause .. why??
t1
x1 y1 z1
1 2 5
2 2 7
Now you are trying to write a query like:
select x1,y1,max(z1) from t1 group by y1;
Now this query will result only one row, but what should be the value of x1?? This is basically an undefined behaviour. To overcome this, SQL will error out this query.
Now, coming to the point, you can either chose aggregate function for x1 or you can add x1 to group by. Note that this all depends on your requirement.
If you want all rows with aggregation on z1 grouping by y1, you may use SubQ approach.
Select x1,y1,(select max(z1) from t1 where tt.y1=y1 group by y1)
from t1 tt;
This will produce a result like:
t1
x1 y1 max(z1)
1 2 7
2 2 7
Try using a virtual table as follows:
SELECT vt.*,c.name FROM(
SELECT c.mukey, Max(c.comppct_r) AS ComponentPercent
FROM c
GROUP BY c.muke;
) as VT, c
WHERE VT.mukey = c.mukey
You can't just add additional columns without adding them to the GROUP BY or applying an aggregate function. The reason for that is, that the values of a column can be different inside one group. For example, you could have two rows:
mukey | comppct_r | name | type
65789 | 20 | a | 7n
65789 | 20 | b | 9f
How should the aggregated group look like for the columns name and type?
If name and type is always the same inside a group, just add it to the GROUP BY clause:
SELECT c.mukey, Max(c.comppct_r) AS ComponentPercent
FROM c
GROUP BY c.muke, c.name, c.type;
Use a 'Having' clause
SELECT *
FROM c
GROUP BY c.mukey
HAVING c.comppct_r = Max(c.comppct_r);