Each quarter's sales data is contained in a row in the data source.
Account 1's 4 quarters of sales data would be in 4 separate records, each containing the account name, quarter number, and count of items purchased.
The report should show, in each detail row: account name, q1 count, q2 count, q3 count, q4 count, total year count.
I'm new to Crystal, but it seems like this should be easy; how would I do this?
I'd probably create the result list using some slightly complex sql and they just display it on the Crystal report...but if you're wanting to accomplish this entirely inside Crystal, take a look at http://aspalliance.com/1041_Creating_a_Crosstab_Report_in_Visual_Studio_2005_Using_Crystal_Reports.all.
Here's a stab at the SQL that would be required...
select
accountName,
(select sum(itemCount) from myTable where quarterName = 'q1') as q1Count,
(select sum(itemCount) from myTable where quarterName = 'q2') as q2Count,
(select sum(itemCount) from myTable where quarterName = 'q3') as q3Count,
(select sum(itemCount) from myTable where quarterName = 'q4') as q4Count,
(select sum(itemCount) from myTable) as yearCount
from myTable
group by accountName ;
If your data source has the sales date in it (and I assume it would), you can create a formula called #SalesQuarter:
if month({TableName.SalesQuarter}) in [1,2,3] then '1' else
if month({TableName.SalesQuarter}) in [4,5,6] then '2' else
if month({TableName.SalesQuarter}) in [7,8,9] then '3'
else '4'
You can then add a cross-tab to your report, and use the new #SalesQuarter field as the column header of your cross-tab.
This assumes your sales are all within the same year.
Add a group on {account}
In the group footer add a Running total for each quarter.
For each quarter, create a running total with following settings:
Running Total Name: create a unique name for each formula, for example Q1,Q2,Q3,Q4
Field to summarize: {items purchased}
Type of summary: sum
Evaluate: Use a formula - {quarter number}= --should be 1,2,3, or 4, depending on which quarter you are summing
Reset: On Change of Group {account}
Related
I have 2 tables
sales table
weekly sales, store, date
store table
store, type, size
my sales table has multiple years, multiple stores and multiple types. I'm trying to get the avg sales by sqft for each store type per year. I have a sub query that shows the sales by sqft for each store but Im having trouble then rolling it up into my main query to get the avg by type
Anything jumps out with my final query?
SELECT
date_part('year', sales.date) AS year,
stores.type,
AVG(sales_by_sqft)
FROM
(SELECT
SUM((sales.weekly_sales)/stores.size) AS sales_by_sqft
FROM SALES
INNER JOIN stores ON sales.store = stores.store
GROUP BY sales.store) AS sq
FROM sales
INNER JOIN stores ON sales.store = stores.store
WHERE date_part('year', date) = 2012
GROUP BY year, stores.type;
getting a syntax error on the second FROM statement
I figured it out. AVG doesn't work on money. Once I changed that data type to integer, it all fell in place
SELECT
year,
type,
ROUND(AVG(sales_by_sqft),2)AS avg_sales_by_sqft
FROM
(SELECT
date_part('year', sales.date) AS year,
stores.type,
sales.store,
stores.size,
SUM(sales.weekly_sales) AS total_sales,
SUM(sales.weekly_sales)/ AVG(stores.size) AS sales_by_sqft
FROM sales
INNER JOIN stores ON sales.store = stores.store
GROUP BY year, stores.type, sales.store, stores.size) AS sq
GROUP BY 1,2
ORDER BY 1,3 DESC;
I have a Table that I am using to pull order details in SSRS that has when the price of a product number was changed. It has Data Changed and Updated Cost.
I am pairing up two different tables to create a report that is the cost of the package at the time of the order. Here is how I am pulling my data:
SELECT
WAREHOUSE.ActPkgCostHist.ItemNo AS [ActPkgCostHist ItemNo]
,WAREHOUSE.ActPkgCostHist.ActPkgCostDate
,WAREHOUSE.ActPkgCostHist.ActPkgCost
,ORDER.OrderHist.OrderNo
,ORDER.OrderHist.ItemNo AS [OrderHist ItemNo]
,ORDER.OrderHist.DispenseDt
FROM
WAREHOUSE.ActPkgCostHist
INNER JOIN ORDER.OrderHist
ON WAREHOUSE.ActPkgCostHist.ItemNo = ORDER.OrderHist.ItemNo
Catalog=ShippedOrders
ActPkgCostHist Table has What the cost of an Item was and what date the cost was changed.
OrderHist Table has the complete details of the order except the ActPkgCost at the time of the purchase.
I am attempting to create a table that Has order number, the date of the order and the package cost at the time of the order.
The ROW_NUMBER function is very useful for cases like this.
SELECT WAREHOUSE.ActPkgCostHist.ItemNo AS [ActPkgCostHist ItemNo]
,WAREHOUSE.ActPkgCostHist.ActPkgCostDate
,WAREHOUSE.ActPkgCostHist.ActPkgCost
,ORDER.OrderHist.OrderNo
,ORDER.OrderHist.ItemNo AS [OrderHist ItemNo]
,ORDER.OrderHist.DispenseDt
FROM ORDER.OrderHist
INNER JOIN (
SELECT ItemNo, ActPkgCostDate, ActPkgCost
, ROW_NUMBER() OVER (PARTITION BY ItemNo ORDER BY ActPkgCostDate DESC) as RN
FROM WAREHOUSE.ActPkgCostHist
--if there are future dated changes, limit ActPkgCostDate to be <= the current date
) ActPkgCostHist on ActPkgCostHist.ItemNo = OrderHist.ItemNo
WHERE RN = 1
What this subquery does is group the cost history by ItemNo. Then for each one, it ranks the changes by recency with the most recent change being 1. Then in the main query you filter it to just rows with a 1.
For each item in each order you have to find the latest cost date and use it when joining with the cost table
SELECT C.ItemNo AS [ActPkgCostHist ItemNo],
C.ActPkgCostDate,
C.ActPkgCost,
O.OrderNo,
O.ItemNo AS [OrderHist ItemNo],
O.DispenseDt
FROM WAREHOUSE.ActPkgCostHist AS C
-- JOIN order detail with cost table in order to define the cost date per item/order
INNER JOIN (SELECT Max(CH.ActPkgCostDate) AS ItemCostDate,
OH.OrderNo,
OH.ItemNo,
OH.DispenseDt
FROM WAREHOUSE.ActPkgCostHist AS CH
INNER JOIN ORDER.OrderHist AS OH
ON CH.ItemNo = OH.ItemNo
-- Get the latest cost date only from dates before order date
WHERE CH.ActPkgCostDate <= OH.DispenseDt
GROUP BY OH.OrderNo,
OH.ItemNo,
OH.DispenseDt) AS O
ON C.ItemNo = O.ItemNo
AND C.ActPkgCostDate = O.ItemCostDate
I have a table (table1) has fact data. Let's say (products, start, end, value1, month[calculated column]) are the columns and start and end columns are timestamp.
What I am trying to have is a table and bar chart which give me sum of value1 for each month divided by a factor number according to each month (this report is a yearly bases. I mean, I load the data into qlik sense for one year).
I used the start and end to generate autoCalendar as a timestamp field in qlik sense data manager. Then, I get the month from start and store it in the calculated column "month" in the table1 using the feature of autoCalendar (Month(start.autoCalendar.Month)).
After that, I created another table having two columns (month, value2) the value2 column is a factor value which I need it to divide the value1 according to each month. that's mean (sum(value1) /1520 [for January], sum(value2) / 650 [for February]) and so on. Here the month and month columns are relational columns in qlik sense. then I could in my expression calculated the sum(value1) and get the targeted value2 which compatible with the month for the table2.
I could make the calculation correctly. but still one thing is missed. The data of the products does not have value (value1 ) in every month. For example, let's say that I have a products (p1,p2...). I have data in the table 1 for (Jun, Feb, Nov), and for p2 for (Mrz, Apr,Mai, Dec). Hence, When the data are presented in a qlik sense table as well as in a bar chart I can see only the months which have values in the fact table. The qlik sense table contains (2 dimensions which are [products] and [month] and the measure is m1[sum(value1)/value2]).
What I want to have a yearly report showing the 12 months. and in my example I can see for p1 (only 3 months) and for p2 (4 months). When there is no data the measure column [m1] 0 and I want to have the 0 in my table and chart.
I am think, it might be a solution if I can show the data of the the qlik sense table as right outer join of my relation relationship (table1.month>>table2.month).So, is it possible in qlik sense to have outer join in such an example? or there is a better solution to my problem.
Update
Got it. Not sure if that this is the best approach but in this cases I usually fill the missing records during the script load.
// Main table
Sales:
Load
*,
ProductId & '-' & Month as Key_Product_Month
;
Load * Inline [
ProductId, Month, SalesAmount
P1 , 1 , 10
P1 , 2 , 20
P1 , 3 , 30
P2 , 1 , 40
P2 , 2 , 50
];
// Get distinct products and assign 0 as SalesAmount
Products_Temp:
Load
distinct ProductId,
0 as SalesAmount
Resident
Sales
;
join (Products_Temp) // Cross join in this case
Load
distinct Month
Resident
Sales
;
// After the cross join Products_Temp table contains
// all possible combinations between ProductId and Month
// and for each combination SalesAmount = 0
Products_Temp_1:
Load
*,
ProductId & '-' & Month as Key_Product_Month1 // Generate the unique id
Resident
Products_Temp
;
Drop Table Products_Temp; // we dont need this anymore
Concatenate (Sales)
// Concatenate to main table only the missing ProductId-Month
// combinations that are missing
Load
*
Resident
Products_Temp_1
Where
Not Exists(Key_Product_Month, Key_Product_Month1)
;
Drop Table Products_Temp_1; // not needed any more
Drop Fields Key_Product_Month1, Key_Product_Month; // not needed any more
Before the script:
After the script:
The table link in Qlik Sense (and Qlikview) is more like full outer join. if you want to show the id only from one table (and not all) you can create additional field in the table you want and then perform your calculations on top of this field instead on the linked one. For example:
Table1:
Load
id,
value1
From
MyQVD1.qvd (qvd)
;
Table2:
Load
id,
id as MyRightId
value2
From
MyQVD2.qvd (qvd)
;
In the example above both tables will still be linked on id field but if you want to count only the id values in the right table (Table2) you just need to type
count( MyRightId )
I know this questions has been answered and I quite like Stefan's approach but hope my answer will help other users. I recently ran into something similar and I used a slightly different logic with the following script:
// Main table
Sales:
Load * Inline [
ProductId, Month, SalesAmount
P1 , 1 , 10
P1 , 2 , 20
P1 , 3 , 30
P2 , 1 , 40
P2 , 2 , 50
];
Cartesian:
//Create a combination of all ProductId and Month and then load the existing data into this table
NoConcatenate Load distinct ProductId Resident Sales;
Join
Load Distinct Month Resident Sales;
Join Load ProductId, Month, SalesAmount Resident Sales; //Existing data loaded
Drop Table Sales;
This results in the following output table:
The Null value in the new (bottom-most) row can stay like that but if you prefer replacing it then use Map..Using process
Suppose I have a table with quantity column.
CREATE TABLE transfers (
user_id integer,
quantity integer,
created timestamp default now()
);
I'd like to iteratively go thru a partition using window functions, but access the output rows, not the input table rows.
To access the input table rows I could do something like this:
SELECT LAG(quantity, 1, 0)
OVER (PARTITION BY user_id ORDER BY created)
FROM transfers;
I need to access the previous output row to calculate the next output row. How can i access the lag row in the output? Something like:
CREATE VIEW balance AS
SELECT LAG(balance.total, 1, 0) + quantity AS total
OVER (PARTITION BY user_id ORDER BY created)
FROM transfers;
Edit
This is a minimal example to support the question of how to access the previous output row within a window partition. I don't actually want a sum.
It seems you attempt to calculate a running sum. Luckily that's just what Sum() window function does:
WITH transfers AS(
SELECT i, random()-0.3 AS quantity FROM generate_series(1,100) as i
)
SELECT i, quantity, sum(quantity) OVER (ORDER BY i) from transfers;
I guess, looking at the question, that the only you need is to calculate a cumulative sum.
To calculate a cumulative summ use this query:
SELECT *,
SUM( CASE WHEN quantity IS NULL THEN 0 ELSE quantity END)
OVER ( PARTITION BY user_id ORDER BY created
ROWS BETWEEN unbounded preceding AND current row
) As cumulative_sum
FROM transfers
ORDER BY user_id, created
;
But if you want more complex calculations, especially containing some conditions (decisions) that depend on a result from prevoius row, then you need a recursive approach.
i am trying to run an export on a system that only allows t-sql. i know enough of php to make a foreach loop, but i don't know enough of t-sql to generate multiple rows for a given quantity.
i need a result to make a list of items with "1 of 4" like data included in the result
given a table like
orderid, product, quantity
1000,ball,3
1001,bike,4
1002,hat,2
how do i get a select query result like:
orderid, item_num, total_items,
product
1000,1,3,ball
1000,2,3,ball
1000,3,3,ball
1001,1,4,bike
1001,2,4,bike
1001,3,4,bike
1001,4,4,bike
1002,1,2,hat
1002,2,2,hat
You can do this with the aid of an auxiliary numbers table.
;WITH T(orderid, product, quantity) AS
(
select 1000,'ball',3 union all
select 1001,'bike',4 union all
select 1002,'hat',2
)
SELECT orderid, number as item_num, quantity as total_items, product
FROM T
JOIN master..spt_values on number> 0 and number <= quantity
where type='P'
NB: The code above uses the master..spt_values table - this is just for demo purposes I suggest you create your own tally table using one of the techniques here.
If you are on SQL Server 2005 or later version, then you can try a recursive CTE instead of a tally table.
;WITH CTE AS
(
SELECT orderid, 1 item_num, product, quantity
FROM YourTable
UNION ALL
SELECT orderid, item_num+1, product, quantity
FROM CTE
WHERE item_num < quantity
)
SELECT *
FROM CTE
OPTION (MAXRECURSION 0)
I'm not on a computer with a database engine where I can test this, so let me know how it goes.
Well, IF you know the maximum value for the # of products for any product (and it's not too big, say 4), you can:
Create a helper table called Nums containing 1 integer column n, with rows containing 1,2,3,4
Run
SELECT * from Your_table, Nums
WHERE Nums.n <= Your_table.quantity