I have Inventory data that is in the following format:
Column D | Column E | Column F
Pack Qty | Pack Price | Total Qty
This is followed by multiple rows with various numerical values, with the odd blank row.
To calculate the stock value of any particular product/line, I use =F2/D2*E2.
To calculate the total value of stock I tried {=Sum(F:F/D:D*E:E)} but it returns a #Div/0! error.
As mentioned, some rows are blank. Some items have 0 price, others have 0 stock on hand.
I would like to avoid having to total each line in a new column then total that column.
Try this:
{=SUM(IFERROR(F:F/D:D*E:E,0))}
You can simply wrap your division inside IFERROR() and return 0.
{=SUM(IFERROR(F:F/D:D,0)*E:E)}
Related
I want to calculate sumproduct in netezza table, where one column is fixed. In frist column (A) I have some numbers in DISCOUNT are discount factors. As a result I want to get sumproduct bewteen A and DISCOUNT, where DISCOUNT always start from first row.
Number in RESULTS:
14,54535 = 5/(1+2%)+3/(1+3%)+7/(1+4%),
9.737293 = 3/(1+2%)+7/(1+3%)
6.862745 = 7/(1+2%)
Always when copunting the next number in columns RESULT, we ignore the previous values from A, but always use the DISCOUNT from MATURITY=1 forward.
MATURITY
A
R
DISCOUNT
RESULT
1
5
2%
98.0392...%
14,54535...
2
3
3%
97.0874...%
9.737293...
3
7
4%
97.0874...%
6.862745...
Is the any way to do that in Neteza? Without using multiple joins for rates/discounts? Since the dimension of data can vary.
I am not sure if my database design is good for this tricky case and I also ask for help how the query for this could look like.
I plan a query with the following table:
search_array | value | id
-----------------------+-------+----
{XYa,YZb,WQb} | b | 1
{XYa,YZb,WQb,RSc,QZa} | a | 2
{XYc,YZa} | c | 3
{XYb} | a | 4
{RSa} | c | 5
There are 5 main elements in the search_array: XY, YZ, WQ, RS, QZ and 3 Values: a, b, c that are concardinated to each element.
Each row has also one value: a, b or c.
My aim is to find all rows that fit to a specific row in this sense: At first it should be checked if they have any same main elements in their search_arrays (yellow marked in the example).
As example:
Row id 4 an row id 5 wouldnt match because XY != RS.
Row id 1, 2 and 3 would match two times because they have all XY and YZ.
Row id 1 and 2 would even match three times because they have also WQ in common.
And second: if there is a Main Element match it should be 'crosschecked' if the lowercase letters after the Main Elements fit to the value of the other row.
As example: The only match for Row id 1 in the table would be Row id 4 because they both search for XY and the low letters after the elements match each value of the two rows.
Another match would be ROW id 2 and 5 with RS and search c to value c and search a to value a (green and orange marked).
My idea was to cut the search_array elements in the query in two parts with the RIGHT and LEFT command for strings. But I dont know how to combine the subqueries for this search.
Or would be a complete other solution faster? Like splitting the search array into another table with the columns 'foregin key' to the maintable, 'main element' and 'searched_value'. I am not sure if this is the best solution because the program would all the time switch to the main table to find two rows out of 3 million rows to compare their searched_values to the values?
Thank you very much for your answers and your time!
You'll have to represent the data in a normalized fashion. I'll do it in a WITH clause, but it would be better to store the data in this fashion to begin with.
WITH unravel AS (
SELECT t.id, t.value,
substr(u.val, 1, 2) AS arr_main,
substr(u.val, 3, 1) AS arr_val
FROM mytable AS t
CROSS JOIN LATERAL unnest(t.search_array) AS u(val)
)
SELECT a.id AS first_id,
a.value AS first_value,
b.id AS second_id,
b.value AS second_value,
a.arr_main AS main_element
FROM unravel AS a
JOIN unravel AS b
ON a.arr_main = b.arr_main
AND a.arr_val = b.value
AND b.arr_val = a.value;
I'm using vespa to view some data. Consider the following data
id product brand
1 a b1
2 b b1
3 c b1
4 d b2
5 e b3
I tried grouping to display the data from brand field. I had a field with price and I wrote a query like this
SELECT * FROM s_data where default contains "soap" | all(group(brand) each(output(sum(price))));
Basically, I don't want to calculate the sum of price, all I want is distinct values from the field 'brand'. Is there a way to do that in vespa?
all(group(brand) each(output(count())))
Gives you all the unique values of the brand field attribute along with their occurrences count. If you really don't need the count you can ignore it in the output.
when I run the following script:
tbl: update prob: 1?100 from tbl;
I was expecting that I get a new column created with each row having a random number. However, I get back a column containing the same number for all the rows in the table.
How do I resolve this? I need to update my existing table and not create a table from scratch.
When you are using 1?100 you are only requesting 1 random value within the range of 0-100. If you use 10?100, you will be returned a list of 10 random values between 0-100.
So to do this in an update you want to use something like this
tbl:([]time:5?.z.p;sym:5?`3;price:5?10f;qty:5?10)
time sym price qty
-----------------------------------------------
2012.02.19D18:34:27.148501760 gkn 8.376952 9
2008.07.29D20:23:13.601434560 odo 7.041609 3
2007.02.07D08:17:59.482332864 pbl 0.955069 9
2001.04.27D03:36:44.475531384 aph 1.127308 2
2010.03.03D03:35:55.253069888 mgi 0.7663449 6
update r:abs count[i]?0h from tbl
time sym price qty r
-----------------------------------------------------
2012.02.19D18:34:27.148501760 gkn 8.376952 9 23885
2008.07.29D20:23:13.601434560 odo 7.041609 3 19312
2007.02.07D08:17:59.482332864 pbl 0.955069 9 10372
2001.04.27D03:36:44.475531384 aph 1.127308 2 25281
2010.03.03D03:35:55.253069888 mgi 0.7663449 6 27503
Note that I am using type short and abs to return positive values.
You need to seed your initial data, using something like rand(time), otherwise it will use the same seed, and thus, give the same sequence of random numbers.
EDIT: Per https://code.kx.com/wiki/Reference/SystemCommands
Use \S?n, where n is any integer.
EDIT2: Check out https://code.kx.com/wiki/Reference/SystemCommands#.5CS_.5Bn.5D_-_random_seed for how to use random numbers, please.
Just generate as many random numbers as you have rows using count tbl:
First create your table tbl:
tbl:([]date:reverse .z.d-til 100;price:sums 100?1f)
date price
--------------------
2018.04.26 0.2426471
2018.04.27 0.6163571
2018.04.28 1.179559
..
Then add a column of random numbers between 0 and 100:
update rdn:(count tbl)?100 from tbl
date price rdn
------------------------
2018.04.26 0.2426471 25
2018.04.27 0.6163571 33
2018.04.28 1.179559 13
..
I'm working on a report that shows transactions grouped by type.
Type Total income
------- --------------
A 575
B 244
C 128
D 45
E 5
F 3
Total 1000
I only want to provide details for transaction types that represent more than 10% of the total income (i.e. A-C). I'm able to do this by applying a filter to the group:
Type Total income
------- --------------
A 575
B 244
C 128
Total 1000
What I want to display is a single row just above the total row that has a total for all the types that have been filtered out (i.e. the sum of D-F):
Type Total income
------- --------------
A 575
B 244
C 128
Other 53
Total 1000
Is this even possible? I've tried using running totals and conditionally hidden rows within the group. I've tried Iif inside Sum. Nothing quite seems to do what I need and I'm butting up against scope issues (e.g. "the value expression has a nested aggregate that specifies a dataset scope").
If anyone can give me any pointers, I'd be really grateful.
EDIT: Should have specified, but at present the dataset actually returns individual transactions:
ID Type Amount
---- ------ --------
1 A 4
2 A 2
3 B 6
4 A 5
5 B 5
The grouping is done using a row group in the tablix.
One solution is to solve that in the SQL source of your dataset instead of inside SSRS:
SELECT
CASE
WHEN CAST([Total income] AS FLOAT) / SUM([Total income]) OVER (PARTITION BY 1) >= 0.10 THEN [Type]
ELSE 'Other'
END AS [Type]
, [Total income]
FROM Source_Table
See also SQL Fiddle
Try to solve this in SQL, see SQL Fiddle.
SELECT I.*
,(
CASE
WHEN I.TotalIncome >= (SELECT Sum(I2.TotalIncome) / 10 FROM Income I2) THEN 10
ELSE 1
END
) AS TotalIncomePercent
FROM Income I
After this, create two sum groups.
SUM(TotalIncome * TotalIncomePercent) / 10
SUM(TotalIncome * TotalIncomePercent)
Second approach may be to use calculated column in SSRS. Try to create a calculated column with above case expression. If it allows you to create it, you may use it in the same way as SQL approach.
1) To show income greater than 10% use row visibility condition like
=iif(reportitems!total_income.value/10<= I.totalincome,true,false)
here reportitems!total_income.value is total of all income textbox value which will be total value of detail group.
and I.totalincome is current field value.
2)add one more row to outside of detail group to achieve other income and use expression as
= reportitems!total_income.value-sum(iif(reportitems!total_income.value/10<= I.totalincome,I.totalincome,nothing))