Qlikview - Target missing where no actual value - qlikview
I have a fact table of Delay by Date by Category (and many other Fields). I have another (target) table of DelayTarget by Month and Category.
I am currently associating the target table to the fact table on Month & Category but when there is no Delay for a given Category in a given Month, then the DelayTarget value does not display in my dashboard.
How do I associate the DelayTarget to all Months in my main dataset - even when there is no Delay to report? I think I want to create a Zero value for Delay when it is null but I don't know how to do this or if this is the best method.
You need to create MasterCalendar to fill gap in dates.
I can give you more detailed answer but the best would be to share you data model (ctrl +T) and some example data from tables (or even better just.qvw)
Related
Power BI: Measure for Date difference depending on other columns
I hope everybody is doing fine! :) I have a table like the one in my "Example" picture. Let's say it is data about certain products and a certain assembly status (i.e. column "Status"). In "Status Date" I can see the date on which the product has been in the specific status. I only added dates for ID 1 to make the table easier. Table What I am looking for is a measure in Power BI to calculate the difference (in days or month doesn't matter) between the dates. I don't want to use the number in the Status (e.g. 1 for Stat 1) to identify the order of the dates. To make it even harder, I may want to filter out Stat 2 for some reason. In that case I want the measure to automatically adapt and calculate the difference between Stat 3 and Stat 1. I have the feeling that this is possible in a single formular using a measure which would be the optimal solution from my point of view. I hope there's someone who can help me! Thanks in advance. Daniel
How to populate all possible combination of values in columns, using Spark/normal SQL
I have a scenario, where my original dataset looks like below Data: Country,Commodity,Year,Type,Amount US,Vegetable,2010,Harvested,2.44 US,Vegetable,2010,Yield,15.8 US,Vegetable,2010,Production,6.48 US,Vegetable,2011,Harvested,6 US,Vegetable,2011,Yield,18 US,Vegetable,2011,Production,3 Argentina,Vegetable,2010,Harvested,15.2 Argentina,Vegetable,2010,Yield,40.5 Argentina,Vegetable,2010,Production,2.66 Argentina,Vegetable,2011,Harvested,15.2 Argentina,Vegetable,2011,Yield,40.5 Argentina,Vegetable,2011,Production,2.66 Bhutan,Vegetable,2010,Harvested,7 Bhutan,Vegetable,2010,Yield,35 Bhutan,Vegetable,2010,Production,5 Bhutan,Vegetable,2011,Harvested,2 Bhutan,Vegetable,2011,Yield,6 Bhutan,Vegetable,2011,Production,3 Image of the above csv: Now there is a very small country lookup table which has all possible countries the source data can come with, listed. PFB: I want to have the output data's number of columns always fixed (this is to ensure the reporting/visualization tool doesn't get dynamic number columns with every day's new source data ingestions depending on the varying distinct number of countries present). So, I've to somehow join the source data with the country_lookup csv and populate all those columns with default value as F. Every country column would be binary with T or F being the possible values. The original dataset from the above has to be converted into below: Data (I've kept the Amount field unsolved for column Type having Derived Yield as is, rather than calculating them below for a better understanding and for you to match with the formulae): Country,Commodity,Year,Type,Amount,US,Argentina,Bhutan,India,Nepal,Bangladesh US,Vegetable,2010,Harvested,2.44,T,F,F,F,F,F US,Vegetable,2010,Yield,15.8,T,F,F,F,F,F US,Vegetable,2010,Production,6.48,T,F,F,F,F,F US,Vegetable,2010,Derived Yield,(2.44+15.2)/(6.48+2.66),T,T,F,F,F,F US,Vegetable,2010,Derived Yield,(2.44+7)/(6.48+5),T,F,T,F,F,F US,Vegetable,2010,Derived Yield,(2.44+15.2+7)/(6.48+2.66+5),T,T,T,F,F,F US,Vegetable,2011,Harvested,6,T,F,F,F,F,F US,Vegetable,2011,Yield,18,T,F,F,F,F,F US,Vegetable,2011,Production,3,T,F,F,F,F,F US,Vegetable,2011,Derived Yield,(6+10)/(3+9),T,T,F,F,F,F US,Vegetable,2011,Derived Yield,(6+2)/(3+3),T,F,T,F,F,F US,Vegetable,2011,Derived Yield,(6+10+2)/(3+9+3),T,T,T,F,F,F Argentina,Vegetable,2010,Harvested,15.2,F,T,F,F,F,F Argentina,Vegetable,2010,Yield,40.5,F,T,F,F,F,F Argentina,Vegetable,2010,Production,2.66,F,T,F,F,F,F Argentina,Vegetable,2010,Derived Yield,(2.44+15.2)/(6.48+2.66),T,T,F,F,F,F Argentina,Vegetable,2010,Derived Yield,(15.2+7)/(2.66+5),F,T,T,F,F,F Argentina,Vegetable,2010,Derived Yield,(2.44+15.2+7)/(6.48+2.66+5),T,T,T,F,F,F Argentina,Vegetable,2011,Harvested,10,F,T,F,F,F,F Argentina,Vegetable,2011,Yield,90,F,T,F,F,F,F Argentina,Vegetable,2011,Production,9,F,T,F,F,F,F Argentina,Vegetable,2011,Derived Yield,(6+10)/(3+9),T,T,F,F,F,F Argentina,Vegetable,2011,Derived Yield,(10+2)/(9+3),F,T,T,F,F,F Argentina,Vegetable,2011,Derived Yield,(6+10+2)/(3+9+3),T,T,T,F,F,F Bhutan,Vegetable,2010,Harvested,7,F,F,T,F,F,F Bhutan,Vegetable,2010,Yield,35,F,F,T,F,F,F Bhutan,Vegetable,2010,Production,5,F,F,T,F,F,F Bhutan,Vegetable,2010,Derived Yield,(2.44+7)/(6.48+5),T,F,T,F,F,F Bhutan,Vegetable,2010,Derived Yield,(15.2+7)/(2.66+5),F,T,T,F,F,F Bhutan,Vegetable,2010,Derived Yield,(2.44+15.2+7)/(6.48+2.66+5),T,T,T,F,F,F Bhutan,Vegetable,2011,Harvested,2,F,F,T,F,F,F Bhutan,Vegetable,2011,Yield,6,F,F,T,F,F,F Bhutan,Vegetable,2011,Production,3,F,F,T,F,F,F Bhutan,Vegetable,2011,Derived Yield,(2.44+7)/(6.48+5),T,F,T,F,F,F Bhutan,Vegetable,2011,Derived Yield,(10+2)/(9+3),F,T,T,F,F,F Bhutan,Vegetable,2011,Derived Yield,(6+10+2)/(3+9+3),T,T,T,F,F,F The image of the above expected output data for a structured look at it: Part 1 - Part 2 - Formulae for populating Amount Field for Derived Type: Derived Amount = Sum of Harvested of all countries with T (True) grouped by Year and Commodity columns divided by Sum of Production of all countries with T (True)grouped by Year and Commodity columns. So, the target is to have a combination of all the countries from source and calculate the sum of respective Harvested and Production values which then has to be divided. The commodity can be more than one in the actual scenario for any given country, but that should not bother as the summation of amount happens on grouped commodity and year. Note: The users in the frontend can select any combination of countries. The sole purpose of doing it in the backend rather than dynamically doing it in the frontend is because AWS QuickSight (our visualisation tool), even though can populate sum on selected column filters but doesn't yet support calculation on those derived summed fields. Hence, the entire calculation of all combination of countries has to be pre-populated (very naive approach) in order to make it available in report on dynamic users selection of countries. Also if you've any better approach (than the above naive approach mentioned in note) to solve this problem, you are most welcome to guide me. I've also posted a question on the same problem without writing my expected approach for experts to show me the path on how we can solve this kind of a problem better than this naive approach. If you want to help solve it with some other technique, you're most welcome, here is the link to that question. Any help shall be greatly acknowledged.
Calculated Attribute - Min and Max Valid Date
We have some data inside a table (Dimension) with historical values.
Like this (Small example)
ProductId is our Primary Key (and then is unique)
Code is our Business Key
Color and Type are our historical values
In Analysis Services (Tabular mode), our users want to build a report on that values.
Client usage Could be:
(1) If they only want to see the code ('CAR' in our example) the result would be:
(2) If they want to see the code and the Color:
Same for all the attributes that we can have and all the combinations.
Do you know how to solve this?
Can we add some logic in a calculated attribute
Thank you,
Arnaud
In essence, you want to aggregate by date? So, for any set of attributes you put in your pivot table, you want to show the earliest ValidFrom date and the latest ValidTo date that applies? To accomplish this in SSAS Tabular, import the table and hide the columns ValidFrom & ValidTo. (To hide a column, right click it in Visual Studio and select Hide from Client Tools.) Then, create 2 measures. For example: Valid From := MIN([ValidFrom]) Valid To := MAX([ValidTo]) Note the extra space in the names to distinguish them from the column names. You could also call them something completely different. (E.g. Earliest Valid From Date) When people connect to your cube, people will use these 2 measures rather than the columns from the original table. (They won't even see the columns because you've hidden them.) If their pivot table includes all the attributes above (Product ID, Code, Color, Type), then the table will look exactly like your original table. If they only show Code, then your table will look like your (1). If they only show Code & Color, then your table will look like (2).
Qlikview line chart with multiple expressions over time period dimension
I am new to Qlikview and after several failed attempts I have to ask for some guidance regarding charts in Qlikview. I want to create Line chart which will have: One dimension – time period of one month broke down by days in it One expression – Number of created tasks per day Second expression – Number of closed tasks per day Third expression – Number of open tasks per day This is very basic example and I couldn’t find solution for this, and to be honest I think I don’t understand how I should setup my time period dimension and expression. Each time when I try to introduce more then one expression things go south. Maybe its because I have multiple dates or my dimension is wrong. Here is my simple data: http://pastebin.com/Lv0CFQPm I have been reading about helper tables like Master Callendar or “Date Island” but I couldn’t grasp it. I have tried to follow guide from here: https://community.qlik.com/docs/DOC-8642 but that only worked for one date (for me at least). How should I setup dimension and expression on my chart, so I can count the ID field if Created Date matches one from dimension and Status is appropriate? I have personal edition so I am unable to open qwv files from other authors. Thank you in advance, kind regards!
My solution to this would be to change from a single line per Call with associated dates to a concatenated list of Call Events with a single date each. i.e. each Call will have a creation event and a resolution event. This is how I achieve that. (I turned your data into a spreadsheet but the concept is the same for any data source.)
Calls:
LOAD Type,
Id,
Priority,
'New' as Status,
date(floor(Created)) as [Date],
time(Created) as [Time]
FROM
[Calls.xlsx]
(ooxml, embedded labels, table is Sheet1) where Created>0;
LOAD Type,
Id,
Priority,
Status,
date(floor(Resolved)) as [Date],
time(Resolved) as [Time]
FROM
[Calls.xlsx]
(ooxml, embedded labels, table is Sheet1) where Resolved>0;
Key concepts here are allowing QlikView's auto-conatenate to do it's job by making the field-names of both load statements exactly the same, including capitalisation. The second is splitting the timestamp into a Date and a time. This allows you to have a dimension of Date only and group the events for the day. (In big data sets the resource saving is also significant.) The third is creating the dummy 'New' status for each event on the day of it's creation date.
With just this data and these expressions
Created = count(if(Status='New',Id))
Resolved = count(if(Status='Resolved',Id))
and then
Created-Resolved
all with full accumulation ticked for Open (to give you a running total rather than a daily total which might go negative and look odd) you could draw this graph.
For extra completeness you could add this to the code section to fill up your dates and create the Master Calendar you spoke of. There are many other ways of achieving this
MINMAX:
load floor(num(min([Date]))) as MINTRANS,
floor(num(max([Date]))) as MAXTRANS
Resident Calls;
let zDateMin=FieldValue('MINTRANS',1);
let zDateMax=FieldValue('MAXTRANS',1);
//complete calendar
Dates:
LOAD
Date($(zDateMin) + IterNo() - 1, '$(DateFormat)') as [Date]
AUTOGENERATE 1
WHILE $(zDateMin)+IterNo()-1<= $(zDateMax);
Then you could draw this chart. Don't forget to turn Suppress Zero Values on the Presentation tab off.
But my suggestion would be to use a combo rather than line chart so that the calls per day are shown as discrete buckets (Bars) but the running total of Open calls is a line
Modeling products pricing structure
I need to model a rather complex pricing structure for some of our products. Today we lookup the prices manually. Here's a picture with explanations of the "matrix" that we use today: Sample model (sorry for the link - but I'm not allowed to post images because I've just opened my account.) Now I need to transfer this model to a RDBMS system (SQL Server 2008 R2). The entry point when looking up a price is the Category, then the yearly interval and finally the interval depending on how many products we're selling on this order. The result of the query should be two prices. Do you have any suggestions on how to model this? I was thinking of modeling it as a matrix with a RowNumber, CellNumber and a CellValue. But then I need another table for describing what is contained in each cell (by referencing the row and cell numbers). If doing that, I could just include the prices in that description table. But that doesn't seem like the best solution. Do you have any hints/solutions on how to model this problem the best way?
I think I would make something like this: Categories are separated into its own table. Each row in the price table are uniquely identified by the category and starting point of the sold and shipped range. I don't think you would need to specify ending point in the table (since the end point of a range should be the starting point of the next range minus one). Edit: With this model, you will need to add a row in the Prices table for each combination of category, units sold-interval and units shipped-interval, but right now I can't think of an easier way.