(Taken from my blog - QlikCentral.com)

I parked the car in Leeds on Monday the 7th of April 2014 and headed to the testing center.

I was on my way to my QlikView 11 Developer and Designer Certification exam and I was a little anxious. I was trying to remember the last time I had to take an exam. Not counting the occasional interview test it must have been 15 years ago (my driving test). I felt confident with using QlikView although the possibility of ‘fluffing’ the exam worried me. One question could mean the difference between disappointment and jubilation.

In my mind I expected to arrive and great several other QlikView developers waiting for the same test, feeling similar feelings, and swapping QlikView stories. That wasn’t the case. I was checked-in in a small reception area, signed forms, had photos taken and had to leave all possession’s in a small locker… Nothing was allowed in to the test area, not even a watch or a few coins in my pocket. “Those are the rules”, I was informed. “It’s the same everywhere and this is a world wide test.”

I was led into a small room with a bank of PC’s along each wall leaving a small walkway down the center. Each PC station had a divider at each side so once seated you be effectively isolated. There was one chap at the far end of the room as I entered and he left before I’d finished, I never spoke or properly saw him and I’m not sure if he was there for the same exam.

I took another quick look around. Camera’s were positioned high on the walls at regular intervals. I’d been left a single laminated sheet of paper and marker pen to write notes with. The computer was set ready from me to begin. After reading the welcome text I clicked forward into the exam.

The test was 70 questions long and I had 2 hours to complete them all. My first calculation was how many questions could I get wrong and still pass, not many as it turns out.

Both the time and the questions number were displayed in the top right hand corner of the screen and during the test I calculated if I was on track or if I was being too slow and needed to pick up the pace

.

Questions were multiple choice with normally four to choose from. Occasionally there were more and I was asked to pick two correct statements, I read later there was no partial credit for these and I also discovered you weren’t marked down for incorrect answers.

Working through the questions found a mix that is usually expected. Some were easy, most were challenging, and some were very difficult. All the questions were either you knew them or you didn’t (hence the difficult ones). All of the questions had three very plausible but wrong answers so I really had to check the syntax and the question working it through my mind and trying to visualize how it would work practically if I were back at my desk at work.

I soon implemented a tactic. For the easy questions or the ones I was confident with I’d simply move on. For all the others I would select the answer I believed to be correct and ‘flagged’ the question for review. This seemed to work well and I’d completed the 70 questions with 45 minutes to go which left plenty of time to review the ones I’d flagged.

15 minutes later and I’d arrived at a point where I could do no more. I didn’t want to start swapping answers to questions I wasn’t 100% confident about between the two I thought could be correct. After all I could be making things worse. So I took a deep breath and I ended the exam with 30 minutes left on the clock.

It asked me to confirm…. It asked me to confirm again.

The results flashed onto the screen and I quickly began scanning the text. I saw my mark was over the 80% required, Yeh! (although on further reading I discover 75% was required to pass). I stopped holding my breath and smiled, not that anyone could see me unless they were monitoring the camera feed.

I left the room, picked up my belongings from the locker and made my way back to my car. Six hours later I had an email to say my certificates were ready to be printed.

Broad experience in using QlikView is key to acquiring certification. At least one years experience and ideally more in a dynamic environment where you’re constantly developing new coding skills and incorporating as many functions into your QlikView application as possible.

For instance; Class, Dual and Apply Map may be the staple of some QlikView developers where as others may have never come across them before. Some developers may have the luxury of very well designed or simple data sources and others have to learn how deal with complex data structures.

Preparation could include reading up on areas of QlikView you have little or no experience in. For example perhaps you don’t have (or use) QV Publisher, maybe you have never developed a mobile app. Having some theoretical knowledge in all areas even if you don’t expect to use it practically in the near future will help when taking the exam.

I hope this post may be of some help to people who are preparing to take the certification exam or perhaps you already have. Either way I’d love to hear your comments.

Good Luck

Richard

What is Control Chart?

The control chart is a statistical analysis used to study how a process changes over time. Data are plotted in time order. Control charts are used to routinely monitor quality or simply you can say, control chart is process improvement technique.

What is a process?

A process is simply what we do. It can be filling out an expense report, checking a person into a hospital, burning a CD with music, driving to work, filling a prescription, etc. All these process generates the data. We take these generated data and plot on control chart to improve efficiency.

There are many types of control chart, but we are going to use the basic control chart with Std dev method to understand the concept.

Followings are some scenario where we can use the control chart

1) In manufacturing to test if machinery are producing products within specifications.

2) suppose you want to reduce the time it takes to admit someone to the hospital.

3) If you want to know how views are going up or down for particular website.

Components of Control Chat

1) Avg line

2) UCL (Upper Control line) = Avg Value + Std Deviation* Std Dev Multiplier

3) LCL (Lower control line) = Avg Value - Std Deviation* Std Dev Multiplier

So, basically we can see which are the points "Out of Control" or "In Control".

You can control your Std Dev multiplier using variable.

How to create the Control Chart.

1) Create the Combo Chart.

2) Take any Time dimension of your interest which is suited for your analysis, here I have taken the MonthYear. Also    make it Continuous in Axis setting

3) Create two Expression, one for Line and second for Symbol.

4) Create expressions for Avg line, UCL & LCL which will be used as reference lines in the chart. Check the Chart properties ->Presentation for reference line setting.

5) Create the Background color setting for Symbol expression

if( sum(Sales) < vUCL and sum(Sales) > vLCL, LightGreen(), LightRed())

6) Finally the chart will look like below

There are some other useful links available to create the control charts

QlikView Control (SPC) Chart

See also :

Benford's law

Bollinger Bands

Build a complete QlikView 11 application step-by-step: a QlikView 11 tutorial for developers

This QlikView 11 tutorial is for developers with at least some programming experience in any computer language. Over the course of the tutorial, you will learn how to:

• read data from multiple sources (data from websites, data from Excel, data from databases),
• cleanse data,
• create a fully featured data model without circular references,
• display data in maps, charts, and text across multiple sheets.

This QlikView tutorial will teach you a range of methods that QlikView developers use to create fully featured professional quality applications.

You can follow the tutorial step-by-step, or you can jump in and just view part of it. The steps are designed to be independent of one another and also to work as short briefings on developer topics (e.g. connecting to a database with an ODBC connector).

For each step of the tutorial, we have made available a video, the video script, the QlikView file, and the data files (where appropriate). You can download all of these items free of charge by clicking on the download links.

Here's what's in the tutorial:

This page is part 1 of the tutorial.

Going beyond this tutorial, the resources on our education and training pages and on QlikCommunity will be helpful to you.

Get the script for the videos

Sometimes, videos aren't enough. If English isn't your first language or you have hearing issues, it can be hard to follow what's said during videos. To help you out, we've written out the full script for the videos. You can download the full video script.

Overview

Here we provide an overview of the tutorial and explain how to get the project files up and running.

Watch the video at full resolution

Download and use the files

The files for this part of the tutorial are complete - but they are large. They include all of the database files which will consume several GB on your hard drive and may take a while to download, depending on your internet connection.

Here are the files to download:

• The QVW file - warning - this is a large file
• The images used in the demo
• The census files used in the demo
• The SVG files used in the demo
• The database files - warning - this is a large file
• The QVD files (optional) - warning - this is a large file

How to use the downloaded files:

1. Unzip the QVW file to a folder.
2. Unzip the image files to an Images sub folder (under the QVW folder).
3. Unzip the census files to a Census sub folder (under the QVW folder)
4. Unzip the SVG files to a svgMap folder (under the QVW folder)
5. Unzip the database files to FARSDBF folder (under the QVW folder)
6. Unzip the QVD files to a QVD folder (under the QVW folder).

When you're done, your folder structure should look like this:

To reload the data, you may need to edit the load script to point the script to the correct file locations. The script uses file locations in several places, but they are clearly marked. You'll also need to connect an ODBC database to the DBF files. How to do this is covered in the 'data from databases' section.

What's next?

Education and training

A short tutorial can only cover a few topics. To fully exploit the full power of the QlikView platform, you should consider taking a QlikView course.

We offer a range of courses for different needs, ranging from courses for UI designers through to courses for developers and system administrators.Courses are available in-person and virtually. We even offer several courses you can take at no charge.

To find out more about our training courses, visit this web page: http://www.qlikview.com/us/services/training

QlikCommunity

Very few problems developers have are unique. If you have a QlikView problem, there's a good chance someone else has faced the same problem and solved it. QlikCommunity brings together the global QlikView community into an open forum where community members ask and solve questions, share advice,and provide example applications. Joining the community is free.

To join the community, sign up here: http://community.qlikview.com/welcome

Hi,

Recently I helped a community member to calculate the Trimean, I found this indicator interesting, so I decided to share it here as well.

The trimean (TM), or Tukey's trimean, is a measure of a probability distribution's location defined as a weighted average of the distribution's median and its two quartiles: (1)

trimean calculates the mean taken by excluding a percentage of data points from the top and bottom tails of a data set. You can use this function when you wish to exclude outlying data from your analysis (2)

Example :

for the following example :TRIMMEAN is 3.778

LOAD * INLINE [
    Data
    4
    5
    6
    7
    2
    3
    4
    5
    1
    2
    3
];

To calculate Trimean on Qlikview, we will take the example below :

the expected output is :

the script can be presented as :

Data0:
LOAD 
	 DATE, 
     [CLAIM PAID]
    
FROM
[.\TRIMMEAN(1).xlsx]
(ooxml, embedded labels, table is Sheet1);

Data:
noconcatenate
LOAD rowno() as IDtmp,
	 DATE, 
     [CLAIM PAID]
    
resident Data0 order by [CLAIM PAID];
drop table Data0;

let percent=0.1;

Tmp1:

load count([CLAIM PAID]) as CountClaim resident Data;

let vcount=peek('CountClaim',0,'tmp');

drop table Tmp1;

let k=floor($(vcount)*($(percent))/2);

Tmp2:
load min(IDtmp) as minIDtmp, max(IDtmp) as maxIDtmp resident Data;


let Idmin=peek('minIDtmp',0,'Tmp2')+$(k);
let Idmax=peek('maxIDtmp',0,'Tmp2')-$(k);

drop table Tmp2;

output :

I am trying to export data from a QlikView Chart/Table in the Access Point or QlikView Desktop and I am receiving the below message:

'Microsoft Excel cannot open or save any more documents because there is not enough memory or space available'

When looking at memory and disk space, everything looks fine.  Not sure why this is happening.  I am trying to do this on Windows Server 2012 R2 with Excel 2013.

Working hours calculation is essential measure which is useful in many business cases.  In this post I am going to demonstrate the steps to calculate this measure.  I have also covered other aspects related to working hours like overtime hours and excluding lunch break hours.  

Example in this post works for weekends as Saturday and Sunday. If you have any other weekends then refer to my below post

Working-days-and-hours-calculations-for-custom-weekends

Consider the below case

Let's say one Ticket is logged into the system on certain day , call it as Start Date, and the same Ticket got resolved on certain day, call it as End Day. Now we may want to calculate the working hours between these two Dates to calculate the efficiency of ticket closure time.

1) Calculate business working hours excluding week ends(Saturday and Sunday) and Holidays.

Below are the considerations

1) Count only standard working hours ( 9 AM - 6 PM)

2) Exclude Saturdays and Sundays

3) Exclude Holidays

Below is the Setup in QlikView

You can change the Date format of the below variables as per your convenience eg. 'DD/MM/YYYY hh:mm:ss' to 'DD-MMM-YYYY hh:mm:ss'

SET TimeFormat='hh:mm:ss';
SET DateFormat='DD/MM/YYYY';

SET TimestampFormat='DD/MM/YYYY hh:mm:ss';

First, convert your Timestamp date format to 24 hour format using the below functions

a) Timestamp# ()    (if your Timestamp values are text) 

b) TimeStamp ()     (If your Timestamp values are in proper Timestamp format)

Now you can setup the below variables for standard working hours in weekdays.You can change the Variable according to your working hours (Here 9 AM - 6 PM) and rest calculation will be done automatically

Now Setup the Holiday list as below. You can use your own holiday list

Below is the logic to calculate the business working hours between to dates

Here is the output

2) Calculate business working hours excluding week ends(Saturday and Sunday), Lunch Breaks and Holidays.

Below are the considerations

1) Count only standard working hours ( 9 AM - 6 PM)

2) Exclude Saturdays and Sundays

3) Exclude Lunch Break (1 PM - 2PM)

4) Exclude Holidays

Set the Variables for standard working hours and lunch breaks. You can change the values according to your needs

Include the Holidays

Below is the logic to calculate the business working hours between two dates

Here is the output

If you want to present the working hours in hh:mm:ss format then you can use below logic after calculating working hours

=interval(Working_Hours/24,'hh:mm:ss')

Please see the attached QVW.

Feel free to provide any suggestions.

What it is used for?

The Qualify statement is used for switching on the qualification of field names, i.e. field names will get the table name as a prefix.’

In situation where we have two (or more) Tables with the same field names:

Product	Payment

The Qualify statement will assign name of the Table to fields:

Remember

• To use the script below the Excel file must be saved in the same folder that your qvd file

        Otherwise you will need to make changes the this path - [Qualify.xlsx]

QUALIFY *;
Product:
LOAD [Serial No],
Category,
Value
FROM
Qualify.xlsx
(ooxml, embedded labels, table is Product);

QUALIFY *;
Payment:
LOAD [Serial No],
Category,
Value
FROM
Qualify.xlsx
(ooxml, embedded labels, table is Payment);

The Outcome:

Table Viewer:

Read only if you need to know more....

If we have not used ‘QUALIFY’ statement in situation as above Qlikview would map both of the Tables with outcome like below:

The end result  -merge of those two Tables is correct only for the “Serial No” fields

The “Value” and “Category” fields although merged is none of use to us.

To fix this we can only Qualify fields that we do not want to associated:

QUALIFY Category,
Value;
Product:
LOAD [Serial No],
Category,
Value
FROM
Qualify.xlsx
(ooxml, embedded labels, table is Product);

QUALIFY Category,
Value;
Payment:
LOAD [Serial No],
Category,
Value
FROM
Qualify.xlsx
(ooxml, embedded labels, table is Payment);

or by using UNQUALIFY statement:

(which works as opposite to QUALIFY)

QUALIFY *;
UNQUALIFY [Serial No];
Product:
LOAD [Serial No],
Category,
Value
FROM
Qualify.xlsx
(ooxml, embedded labels, table is Product);

QUALIFY *;
UNQUALIFY [Serial No];

Payment:
LOAD [Serial No],
Category,
Value
FROM
Qualify.xlsx
(ooxml, embedded labels, table is Payment);

In second example the ‘QUALIFY *’ part will add Table name to all fields and the UNQUALIFY statement will remove those names only from specified fields(this method is very useful if we got large numbers of fields)

Outcome is as below:

Fields:

Table Viewer:

Feeling Qlikngry?

How To /Missing Manual(18 articles)

What is a Mapping Load

Mapping Load is definitely one of those essential tools for your QlikView and Qlik Sense scripting. Similar to a left join, but different in distinct ways that allow you to do cool things in your QlikView scripts that would be difficult to do or would otherwise involve many steps.

Basically a mapping load allows you to “map in” a set of values to a recipient table based on a key field.

We will first look at the properties of these functions and examine the syntax. Then we will review 8 different applications of this to help you understand where these functions are a good fit.

The script below utilizes QlikView in this case, but we can apply these scripting techniques directly to Qlik Sense as well with the exception of the “from” statements which get changed to library connections.

Highlights of Mapping Load and ApplyMap

• Mapping loads come in two parts. First, a mapping table must be created. Then the map can be applied.
• Maps always consist of two fields. The first field is the key field that will be used to make the translation (the ID). The second field contains the values to be mapped.
• Once a map is created, it is held in memory until the script finishes and is then dropped. It can be reused as many times as needed in the script.
• When a map is applied, only the first encountered value from the mapped table is brought over.
• You can specify an optional value if no match is found for the mapped table.

Syntax for Mapping Load and ApplyMap

We first must create the map. Simply use a load prefix of “Mapping” to indicate this is a mapped table

• Note again that this is considered a temporary table in Qlik and will be dropped automatically at the end of the script.
• Also be aware that the first field is ALWAYS the key and the second field is ALWAYS the mapped value. The reason I emphasize this is because it is not important what the field names are called. Only the order matters.
• As long as the map table appears before we apply it, the map table can be anywhere in the script. I usually position it on the same script tab above the table I will be applying it to, but when I have maps that are applied several times, I might put that map load in script tab towards the front.

Then we can apply the map wherever needed. We will use the ApplyMap function where the first parameter is the map name (in single quotes), the second parameter is the key we use to translate the map from the current table and an optional third parameter will define a value when no match is found.

• A map can be applied multiple times within a script.
• We must use single quotes when referring to the map name.
• Note also that the key in the receiving table does not actually need to loaded as a separate field. In the example above, CustomerID has simply been commented out since we do not need to display this field in the app. We use it to translate the map but that is all we need it for.

Use Case 1 – Avoid Duplication in Fact Tables

Our central table is sacred. If we need to sum up sales or count rows or calculate any sort of metric, this is likely your fact table. It is important that maintain the integrity of this table and do not inadvertently add rows to it since that would mess up your calculations.

But there are times when we need to join data to this table. You might think that a left join is the way to do this. But what if the fields we use to join this table to our fact table actually have repeats? Notice in the charts below, when we do a left join, it will actually add records to the fact table. Now our totals are exaggerated for that customer.

If instead we do a mapping load, we ensure that only one of the ID records actually maps into the receiving table. In fact, the first record “Walmart” is mapped in and the second value “Wal-Mart” is discarded only because the load will encounter the “Walmart” value first in the current ordering of the map table.

Use Case 2 – Slowly Changing Dimensions – Only the Latest Value

This trait of mapping loads is also handy when we only want one value from the map but we want a specific value. Similar to the scenario above, if Walmart had changed their name at some point, we might want only the latest name. If we sort the table by the “Date Modified” field in descending order, we will only get the latest value. This can be helpful for mapping in slowly changing dimensions where we only want one of the values.

Use Case 3 – Easier to Manage than “Nested If’s”

Let’s consider a scenario where we have survey results on a numbered scale from 1-5. It might be handy to add the description for the numbers. We could create a “nested if” statement to handle this. This will work perfectly fine, but as this list gets larger, it might be difficult to maintain.

It might be better to map these values in, especially as the number of values in the list increases. Because the values can be provided in a table, this process becomes much easier to maintain as the number of distinct values grow.

Use Case 4 – Apply a Map and Do Math in the Same Step

Often times we must do a calculation within our script like “Quantity * Price as Extended_Amount”. But what about when the calculation we need must occur between fields that are not in the same table?

A mapping load can provide a quick answer here as well. The benefit here is that we can map the value in AND do the math in the same step. Without the mapping load function, we would be forced to join the second field to the first table and then reload the whole table using resident load.

In the example below, we need to come up with an extended cost of goods sold. But the standard cost of the item is retained in the item master, a separate table from our sales table. We will apply the cost to the sale record and do the calculation at the same time.

Use Case 5 – Reuse a Map Multiple Times

Often times, we will encounter an “attributes” table. This is a catch-all table that holds all textual descriptions for many ID fields. This single table might hold item descriptions, product families, reporting segments, etc. These tables have at least 3 columns: 1 for the value ID, 1 for the field ID and the text descriptor.

In this case, we can load this table as a map and then refer to it multiple times, wherever needed throughout our script, loading these text descriptions into appropriately named fields in our data model. Notice that we are concatenating the ValueID and the FieldID in the map and then using both fields in the map application as well. This ensures that if a ValueID has a repeat, we are not accidentally pulling text for a different field.

Below, we are applying the map once for our item description and then again for our category description.

Use Case 6 – Reference a Default Value When No Match Is Found

Often times, a business requirement will state that rather than a null value, we would like to see “No Description” for an item or “n/a” for example.

If you need to define a default value when there is no match, we can provide this value as a third parameter in the applymap function.

This example shows the simple use of a “no description” label when no match is found.

Use Case 7 – Reference a Backup Map When No Match Is Found

This is my favorite use-case for mapping loads. I have definitely had the situation where a client has said, “Well, first try find a match from this SQL table, but if there is no match, then try this spreadsheet, and if there is still no match, put n/a”.

Again, using the applymap third parameter, we can nest a backup applymap in the third parameter to meet this requirement. We could have an endless list of maps to satisfy the requirement, although I have never gone beyond three levels!

In this example, we will first go to the SQL table, then to a spreadsheet as a backup and then if there is still no match, we will add a manual description of “no description”.

Use Case 8 – Using a Map with Concatenated Keys

There might be times when our key needs to be a little more complex. Sometimes two or three fields are needed to key the mapped values to your receiving table, but as you recall, the mapping table can only have two fields.

In these cases, you can create one field that combines the keys. Just remember that you will have to create the same key when you apply the map. Learn Qlikview.

Source: Living Qlikview

When showing data in a month on month style the current month can often have a large drop off.  This can be prevented by providing a run rate for the current month.  This is where the known values for the current period are extrapolated forward for the rest of the period, providing an estimate of where the period will end.  For example, if you have a value of 1000 on day 10 of a 30 day month, you could calculate a run rate of 3000 for the month.

This solution was created in response to a question on Qlik Community, which you can find here:

Re: Last time value in time line chart

I have documented how this document works and the reasons why you might use it in a blog post here:

http://www.quickintelligence.co.uk/qlik-run-rate/

There is also a link to the QlikView version of this application on the blog post, and further discussions on why run rates are good to have.

I hope that you find it useful.  You will find other applications that I have uploaded under my profile on QlikCommunity.

Steve

http://www.quickintelligence.co.uk/qlikview-blog/

Hi All,

This document helps you in loading multiple excels and excel sheets with the name of the sheet and data.

//to read each file from the specified folder

FOR EACH file in FileList('filepath\*.xlsx');

//In order to get the file information from SQLtables command making use of the ODBC connection format
ODBC CONNECT32 TO [Excel Files;DBQ=$(file)];

tables:
SQLtables;
DISCONNECT;

FOR i = 0 to NoOfRows('tables')-1
LET sheetName = purgeChar(purgeChar(peek('TABLE_NAME', i, 'tables'), chr(39)), chr(36));
Table:
Load * ,
FileBaseName()as FIle,
FileDir() as Dir,
FileName() as File_Name,
'$(sheetName)' as Sheet_name
From $(file)(ooxml, embedded labels, table is [$(sheetName)]);

NEXT i

Next

Hope this helps !!!

please find the attachment for the eg: qvw and test fiels

Regards,

Avinashelite‌

This example demonstrates the SQL WriteBack capability of QlikView via the use of an Extension object. It can be useful for passing a filtered subset of data to a database, writing a comment to a record or simply amend/correct something in the database. Since there’s no open source code available I decided to write this example in my free time to make it available for everyone just like me trying to achieve a writing back functionality to a database. Hopefully this might be useful to some.

Please note that this example was created to be as simple as possible and does not serve to fill in any business necessities. It should rather demonstrate that it works and provide the code for free to anyone who wants to extent it to his own business needs.

A detailed installation guide is included in the .zip file.

I will try to support and answer as many questions as possible in the comments.

Thanks,

Martin

I have two tables Table1,Table2. Table1 has DATE, Table2 has START_DT,END_DT. Want to join these two tables on DATE columns.Intervalmatch function will help us to make the join in Qlik. If we use left join, we can avoid synthetic tables too. Here is the example.If you want to test, prepare the test data.
Let me know if you need any more info/clarification.
Table1:
LOAD COUNTRY,
DATE,
C1,
C2
FROM Table1;
Table2:
LOAD COUNTRY, C3,C4,
date(START_DT) as START_DT,
date(END_DT) as END_DT
FROM Table2;
Final_Table:
INTERVALMATCH (DATE) left JOIN LOAD START_DT, END_DT RESIDENT Table2;
left Join (Table1) LOAD distinct * RESIDENT Table2;
DROP TABLE Table2;

The United States Government has implemented requirements for software in order to make all of the software it uses easily accessible to people with disabilities. Specifically for access through the web, these requirements primarily target the needs of people with vision impairments who may require special keyboard navigation features and third party Screen Readers to be used with QlikView documents.

To become section 508 compliant, QlikView requires users to access the QlikView applications through AJAX and to have the 508 Accessibility extension installed on the server. These extensions were previously available in the Qlik Marketplace, which has been discontinued. These extensions are now being released to the community and will be accessible from this page.

Additional information "DS-Government-Section-508-VPAT.pdf" can be downloaded on Qlik.com:
https://www.qlik.com/us/company/press-room/press-releases/1030-qliktech-achieves-section-508-compliance

We were looking for a solution to update Excel file pivottables before they are loaded into QlikView. I came up with the macro script below, which I want to share with you. I added an extra option to run the Workbook_Open macro. When opening an Excel file via QlikView, this macro will not start (to my experience). Choosing action option 2 will run the macro from QlikView, therefore starting whatever process is started when you open the Excel file manually.

In QV press Ctrl+M to add the macro to the QV document. Be sure to allow system access for this macro function to work. Check the example script in the header of the function. Be aware that the filename should be quoted with single quotes.

Please click the Like link if you are going to use this macro.

' *****************************************************
' Description: Function to open an Excel document and
'              refresh all external data queries and
'              pivottables in the Excel document or
'              run the Workbook_Open macro that runs
'              when manually opening the Excel document.
' Parameters:
' fileName > Specify the Excel document path to open.

'            The path should be the absolute (complete) path on the filesystem.
' action   > 1 = Open Excel file and refresh all external data tables.
'          > 2 = Open Excel file and run Workbook_Open macro.
'
' Example:
' LET result = OpenExcel('<path>\filename.xlsx', 1);
' If $(result) Then
'      LOAD * FROM '<path>\filename.xlsx';
' EndIf
' *****************************************************
Function OpenExcel(fileName, action)
Dim objExcel, objWb, fso

    ' Get file extenstion from the document name
    ext = Mid(fileName, InStrRev(fileName, ".") + 1)

    ' Check if specified document name is an Excel document
    If ext <> "xlsx" And ext <> "xlsm" And ext <> "xls" Then
        OpenExcel = False
        Exit Function
    End If

    ' Create a filesystem instance
    Set fso = CreateObject("Scripting.FileSystemObject")
    ' Exit the function if the documentdoes not exist
    If Not fso.FileExists (fileName) Then
        OpenExcel = False
        Exit Function
    End If

    ' Create an Excel instance
    Set objExcel = CreateObject("Excel.Application")
    ' Exit the function if Excel object cannot be created. Excel is not installed?
    If objExcel Is Nothing Then
        OpenExcel = False
        Exit Function
    End If

    ' Disable Excel prompts and alerts
    objExcel.DisplayAlerts = False

    ' Open the Excel document
    Set objWb = objExcel.Workbooks.Open(fileName)
    ' Exit the function if document cannot be opened. Is the document already opened?
    If objWb Is Nothing Then
        OpenExcel = False
        Exit Function
    End If

    ' Do some stuff according to the specified action parameter
    Select Case action
    Case 1
        ' For Excel 2007 and later documents refresh all external data sources
        ' and pivottables in the document
        If ext = "xlsx" Or ext = "xlsm" Then
            objWb.RefreshAll

        ' For Excel 2003 document refresh each pivottable on each sheet
        ElseIf ext = "xls" Then
            ' First refresh each external query table on all sheets.
            ' Pivottables may depend on these query tables
            For Each sh in objWb.Worksheets
                For Each qt In sh.QueryTables
                    qt.Refresh
                Next
            Next
            ' Refresh every pivottable on all sheets
            For Each sh in objWb.Worksheets
                For Each pvt In sh.PivotTables
                    pvt.RefreshTable
                Next
            Next
        End If

    Case 2

        ' Run the Workbook_Open macro
        objWb.Application.Run "ThisWorkbook.Workbook_Open"
    End Select

    ' Save Excel document and quit Excel
    objWb.Close True
    objExcel.Quit

    ' Cleanup memory
    Set fso = Nothing
    Set objWb = Nothing
    Set objExcel = Nothing

    ' Return true if the function finishes without an error.
    ' This does not mean that the Excel refresh was succesful
    OpenExcel = True
End Function

Hi All

i have combined all important topics by @Henric_Cronström at one place. i hope will be helpful for you all while preparing for certification

Thanks

Kushal

Need to add a printable report to your QlikView document?  Use QlikView's Report Editor to create a report that users can print and take with them.  Check out this technical brief for details on how to do this as well as this blog on the topic.

Jennell

About
What is it? What does it do?

This is a tool that I use to quick check shared file content and do some usual maintenance job on it. After playing with colleagues for a while, I think it'd be nice to share with the community and get some feedback about if/how I should proceed with this personal project.

This tool is a very simple one, it just can open both legacy ".Shared" and new ".TShared" formats of QlikView Shared File, show helpful info in it, and provide some very basic operations on shared objects (currently I have only add support for Bookmark because it's the most commonly used one day-today)

Why another Shared File Viewer?

There has been a Shared File Viewer already for quite a while (in PowerTools package)

The limitation of the existing one is it can't open the new "TShared" format that was introduced lately into QlikView. So if one wants to view new format, they have to convert "Tshared" to "Shared" first and convert it back afterwards, which is really annoying especially the shared file is *big*.

Another limitation for the current one is it provides small subset info of Shared file content and doesn't embed much shared file functions (cleaning, filtering) in it because its development toolchain is out of dated.

Lastly, I found it's not easy to run a Shared File Cleaner without GUI and want something more intuitive.

In short the legacy shared file viewer is inconvenient to use(to me at least 😅 ), especially when it comes to new "TShared" format.

So i think why not just write another tool myself to meet my need - here it comes.

Release Note
Current Stable Release: 0.2

You can find it in the attachment, where the zip file simply contains an exe file that you can run on Windows.

Features:

• Shared objects meta info overview
• Shared Bookmark
  • basic info overview
  • sort by Id, Name, LastModified, LastRecalled and Size
  • Export
  • Delete
• Convert "TShared" to "Shared" and backward.

Hopefully you have time to download and play with it, and, most importantly, give me some feedback about how you think of it, and what other functions you want to include in it in future.

NOTE:

this tool is currently under preview only. and please be CAUTIOUS if you use it with production Shared files. I know the shared content is critically important, so make sure you have backup before touching any Shared Files.

Hi Folks,

If the Instagram account is public, we can fetch the number of likes and comments based on below scripts in Qlikview.

Script:
LOAD 

TextBetween([@1:n],'edge_media_preview_like":{"count":',',') as Likes,
TextBetween([@1:n],'"edge_media_to_parent_comment":{"count":',',') as Comments,
SubField(FilePath(), '/', -1) as PhotoID,
FilePath() as Url
FROM
[https://www.instagram.com/p/B4-I3zrAlTn]
(fix, utf8, no labels)

where wildmatch([@1:n], '*"edge_media_preview_like"*');

output:

Hope it helps for someone

"Because there can be so many different ways to visualize your data, it helps to have a basic guideline to follow."

A document by Qlik written by Patrik Lundblad

with Dr. Abela's permission