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QlikView Valan

Tuesday, August 4, 2009. This post will explain how to create user defined buckets. For example: a database contains a table with data of people. The. Table contains an age field. The thing we want to do is divide all ages in the following predefined groups:. 0 – 5 years. 6 – 10 years. 10 – 18 years. 18 – 30 years. 30 – 65 years. For example: the 26 year old William will be part of the group 18 – 30 years). First of all we need to create the predefined groups in the script:. 1, 0 -5 years. 2, 6 - 10 years.

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Tuesday, August 4, 2009. This post will explain how to create user defined buckets. For example: a database contains a table with data of people. The. Table contains an age field. The thing we want to do is divide all ages in the following predefined groups:. 0 – 5 years. 6 – 10 years. 10 – 18 years. 18 – 30 years. 30 – 65 years. For example: the 26 year old William will be part of the group 18 – 30 years). First of all we need to create the predefined groups in the script:. 1, 0 -5 years. 2, 6 - 10 years.
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QlikView Valan | qlikviewscript.blogspot.com Reviews

https://qlikviewscript.blogspot.com

Tuesday, August 4, 2009. This post will explain how to create user defined buckets. For example: a database contains a table with data of people. The. Table contains an age field. The thing we want to do is divide all ages in the following predefined groups:. 0 – 5 years. 6 – 10 years. 10 – 18 years. 18 – 30 years. 30 – 65 years. For example: the 26 year old William will be part of the group 18 – 30 years). First of all we need to create the predefined groups in the script:. 1, 0 -5 years. 2, 6 - 10 years.

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1

QlikView Valan: Script to load all the tables from the active ODBC connection

http://qlikviewscript.blogspot.com/2009/08/script-to-load-all-tables-from-active.html

Tuesday, August 4, 2009. Script to load all the tables from the active ODBC connection. ODBC CONNECT TO [datasource name];. Load * ,' as dummy. Resident Test where TABLE TYPE='TABLE';. Drop table Test;. Drop Field dummy;. Let tableName=' ;. FOR i = 0 to NoOfRows('Test1')-1. LET tableName = tableName and chr(39) and peek('TABLE NAME', i, 'Test1') and chr(39);. Let tableName = tableName and ',';. For each table in $(tableName). Sql Select * from [$(table)];. Subscribe to: Post Comments (Atom).

2

QlikView Valan: How to Enable or Disable Chart Expressions using Macro

http://qlikviewscript.blogspot.com/2009/08/how-to-enable-or-disable-chart.html

Tuesday, August 4, 2009. How to Enable or Disable Chart Expressions using Macro. These macros can be used to enable/disable any chart expressions using macro. Set chart = ActiveDocument.GetSheetObject("CH01"). Set cp = chart.GetProperties. Set expr = cp.Expressions.Item(1).Item(0).Data.ExpressionData. ExprEnable = false 'disable Second expression. Set chart = ActiveDocument.GetSheetObject("CH01"). Set cp = chart.GetProperties. ExprEnable = True 'enable Second expression. Subscribe to: Post Comments (Atom).

3

QlikView Valan: Removing preceding Zeros

http://qlikviewscript.blogspot.com/2009/08/removing-preceding-zeros.html

Tuesday, August 4, 2009. The table field contains non numeric data preceded by zero like the one below,. When we load this data into qlikview, it can not be converted into numeric, you will get the result like the same. but if you want to convert this non numeric data into numeric then it would be a challenge. Your general script would look like this:. From Data Source;. Now, to convert this field values into numeric you can use the following functions. From Data Source;. View my complete profile.

4

QlikView Valan: Creating Buckets

http://qlikviewscript.blogspot.com/2009/08/creating-buckets.html

Tuesday, August 4, 2009. This post will explain how to create user defined buckets. For example: a database contains a table with data of people. The. Table contains an age field. The thing we want to do is divide all ages in the following predefined groups:. 0 – 5 years. 6 – 10 years. 10 – 18 years. 18 – 30 years. 30 – 65 years. For example: the 26 year old William will be part of the group 18 – 30 years). First of all we need to create the predefined groups in the script:. 1, 0 -5 years. 2, 6 - 10 years.

5

QlikView Valan: August 2009

http://qlikviewscript.blogspot.com/2009_08_01_archive.html

Tuesday, August 4, 2009. This post will explain how to create user defined buckets. For example: a database contains a table with data of people. The. Table contains an age field. The thing we want to do is divide all ages in the following predefined groups:. 0 – 5 years. 6 – 10 years. 10 – 18 years. 18 – 30 years. 30 – 65 years. For example: the 26 year old William will be part of the group 18 – 30 years). First of all we need to create the predefined groups in the script:. 1, 0 -5 years. 2, 6 - 10 years.

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QlikView Valan

Tuesday, August 4, 2009. This post will explain how to create user defined buckets. For example: a database contains a table with data of people. The. Table contains an age field. The thing we want to do is divide all ages in the following predefined groups:. 0 – 5 years. 6 – 10 years. 10 – 18 years. 18 – 30 years. 30 – 65 years. For example: the 26 year old William will be part of the group 18 – 30 years). First of all we need to create the predefined groups in the script:. 1, 0 -5 years. 2, 6 - 10 years.

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