I have recently written a script in t-SQL which uses dynamic SQL to generate a table. The output of the script varies, depending on when it is run. The output is something like this:
Group 2010 2011 2012 2013
A 1 2 3 2
B 4 3 3 4
C 4 3 1 1
However, each year another year is added onto the table, meaning the table size varies.
e.g.
Group 2010 2011 2012 2013 2014
A 1 2 3 2 2
B 4 3 3 4 2
C 4 3 1 1 3
I need to be able to access the data in this table via access to generate some reports, so require some sort of view or function to get the data.
What is the best way of doing this?
if you have to use this output in report. Than you have to fix column name in SQL as below.
Group year4 year3 year2 year1
A 1 2 3 2
B 4 3 3 4
C 4 3 1 1
and in report tools you can convert year1 = current year, year2 = current year - 1 and so on.
update 2
using this method you can easily design your report.
Group year5 year4 year3 year2 year1
A 1 2 3 2 2
B 4 3 3 4 2
C 4 3 1 1 3
Related
I have the Following Output:
Sno
Value Stream
Duration
Inspection
1
Test1
3
1
2
ON
14
0
3
Start
5
0
4
Test1
5
1
5
OFF
0
1
6
Start
0
1
7
Test2
0
1
8
ON
3
1
9
START
0
1
10
Test2
2
2
I want to merge the same value after that before START values charge to after ON. For example S.no 4 will merge to s.no4.
1 | Test1 | 8 | 2 |
If the combination is not equal then don't allow it to merge. For Example, we have to consider only On/Start. If the condition is OFF/Start then don't allow to merge. E.g. S.no 5 and 6 OFF/Start then don't allow to merge s.no 4 & 7.
I think you are talking about summarization not merging:
select [Value Stream],
min(Sno) as First_Sno,
sum(Duration) as total_Duration,
sum(Inspection) as Inspection
from yourtable
group by [Value Stream]
Will give you the result
I have a table with the following format:
ID Estation Y M D H N Nh h Cl
1 78357 2017 5 1 1 0 0 -9001 0
2 78357 2017 5 1 2 0 0 -9001 0
3 78357 2017 5 1 3 1 1 750 5
I want to convert the data in this table to the following format:
ID Estation Y M D H Var Value
1 78357 2017 5 1 1 N 0
2 78357 2017 5 1 2 N 0
3 78357 2017 5 1 3 N 1
4 78357 2017 5 1 1 Nh 0
5 78357 2017 5 1 2 Nh 0
6 78357 2017 5 1 3 Nh 1
7 78357 2017 5 1 1 h -9001
8 78357 2017 5 1 2 h -9001
9 78357 2017 5 1 3 h 750
10 78357 2017 5 1 1 Cl 0
11 78357 2017 5 1 2 Cl 0
12 78357 2017 5 1 3 Cl 5
Due to the amount of registration I must take from one format to another I want to do it using Google Refine. Someone has any idea how to do it?.
You can do this in Google Refine (now called OpenRefine) using the Transpose option.
In the 'N' column click the drop down menu and choose "Transpose -> Transpose cells across columns into rows"
In the screen shown choose "N" as the "From Column" and "(last column)" as the "To Column"
Choose to Transpose into Two New Columns. Call the Key column "Var" and the Value column "Value"
Check the box that says "Fill down in other columns"
Click Transpose
This should give you the various variables & values in a single column with multiple rows
To sort in the order you give in your example maybe challenging. If you Sort the Var col in reverse alphabetical order it is close although not quite - not sure how important this is to you.
Remember in OpenRefine you have to choose to Reorder Rows Permanently to commit the new sort order.
You may have to transform the ID column to renumber with unique IDs. You can do this with the GREL rowIndex+1 once you have got the sort order correct
I have this table:
id sort_ord
0 6
1 7
2 2
3 3
4 4
5 5
6 8
Why does this query:
UPDATE table
SET sort_ord=(
SELECT count(*)
FROM table AS pq
WHERE sort_ord<table.sort_ord
ORDER BY sort_ord
)
WHERE(sort_ord>=0)
Produce:
id sort_ord
0 4
1 5
2 0
3 1
4 2
5 4
6 6
I was expecting all sort_ord fields to subtract by 2.
Here is defined: https://www.sqlite.org/isolation.html
About this link i can interpret, you has several instances for one query (update table and select count table) and independent of each other.
When you are in update sort_data(5) id 5, you have new data for read on every "SET sot_ord" (understanding what say about isolation), and now the result is 4.
Every select is a new instance and a new data reading
id sort_ord
0 4
1 5
2 0
3 1
4 2
5 5**
6 8**
I have 1 Virtual cube consists of 2 cubes.
Example of fact table of 1st cube.
id object_id time_id date_id state
1 10 2 1 0
2 11 5 1 0
3 10 7 1 1
4 10 3 1 0
5 11 4 1 0
6 11 7 1 1
7 10 8 1 0
8 11 5 1 0
9 10 7 1 1
10 10 9 1 2
Where State: 0 - Ok, 1 - Down, 2 - Unknown
For this cube I have one measure StateCount it should count States for each object_id.
Here for example we have such result:
for 10 : 3 times Ok , 2 times Down, 1 time Unknown
for 11 : 3 times Ok , 1 time Down
Second cube looks like this:
id object_id time_id date_id status
1 10 2 1 0
2 11 5 1 0
3 10 7 1 1
4 10 3 1 1
5 11 4 1 1
Where Status: 0 - out, 1 - in. I keep this in StatusDim.
In this table I keep records that should not be count. If object have status 1 that means that I have exclude it from count.
If we intersect these tables and use StateCount we will receive this result:
for 10 : 2 times Ok , 1 times Down, 1 time Unknown
for 11 : 2 times Ok , 1 time Down
As far as i know, i must use calculated member with IIF condition. Currently I'm trying something like this.
WITH MEMBER [Measures].[StateTimeCountDown] AS(
iif(
[StatusDimDown.DowntimeHierarchy].[DowntimeStatus].CurrentMember.MemberValue
<> "in"
, [Measures].[StateTimeCount]
, null )
)
The multidimensional way to do this would be to make attributes from your state and status columns (hopefully with user understandable members, i. e. using "Ok" and not "0"). Then, you can just use a normal count measure on the fact tables, and slice by these attributes. No need for complex calculation definitions.
I am working with MS Access 2007. I have 2 tables: Types of Soda, and Likeability.
Types of Soda are: Coke, Pepsi, Dr. Pepper, and Mello Yellow
Likeability is a lookup with these options: Liked, Disliked, No preference
I know how to count the number of Cokes or Mello Yellows in the table using DCount("[Types]", "[Types of Soda]", "[Types]" = 'Coke')
I also know how to count the number of Liked, Disliked, No preference.
("[Perception]", "[Likeability]", "[Perception]" = 'Liked')
But, what if I need to count the number of "Likes" by Type.
i.e. the table should look like this:
Coke | Pepsi | Dr. Pepper | Mello Yellow
Likes 9 2 12 19
Dislikes 2 45 1 0
No Preference 0 12 14 15
I know in Access I can create a cross tab queries, but my tables are joined by an ID. So my [Likeability] table has an ID column, which is the same as the ID column in my [Types] table. That's the relationship, and that's what connects my tables.
My problem is that I don't know how to apply the condition for counting the likes, dislikes, etc, for ONLY the Types that I specify. It seems like I first have to check the [Likeability] table for "Likes", and cross reference the ID with the ID in the [Types] table.
I am very confused, and you may be too, now. But all I want to do is count the # of Likes and Dislikes for each type of soda.
Please help.
Its not really clear (to me anyway) what your tables look like so lets assume the following
tables
Soda
------
Soda_ID (Long Integer (Increment))
Soda_Name (Text(50)
Perception
------
Perception_ID (Long Integer (Increment))
Perception_Name (Text(50)
Likeability
-----------
Likeability_ID (Long Integer (Increment))
Soda_ID (Long Integer)
Perception_ID (Long Integer)
User_ID (Long Integer)
Data
Soda_Id Soda_Name
------- ---------
1 Coke
2 Pepsi
3 Dr. Pepper
4 Mello Yellow
Perception_ID Perception_Name
------------- ---------
1 Likes
2 Dislikes
3 No Preference
Likeability_ID Soda_ID Perception_ID User_ID
-------------- ------- ------------- -------
1 1 1 1
2 2 1 1
3 3 1 1
4 4 1 1
5 1 2 2
6 2 2 2
7 3 2 2
8 4 2 2
9 1 3 3
10 2 3 3
11 3 3 3
12 4 3 3
13 1 1 5
14 2 2 6
15 2 2 7
16 3 3 8
17 3 3 9
18 3 3 10
Transform query You could write a query like this
TRANSFORM
Count(l.Likeability_ID) AS CountOfLikeability_ID
SELECT
p.Perception_Name
FROM
Soda s
INNER JOIN (Perception p
INNER JOIN Likeability l
ON p.Perception_ID = l.Perception_ID)
ON s.Soda_Id = l.Soda_ID
WHERE
p.Perception_Name<>"No Preference"
GROUP BY
p.Perception_Name
PIVOT
s.Soda_Name;
query output
Perception_Name Coke Dr_ Pepper Mello Yellow Pepsi
--------------- ---- ---------- ------------ -----
Dislikes 1 1 1 3
Likes 2 1 1 1