Book Image

QlikView: Advanced Data Visualization

By : Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
Book Image

QlikView: Advanced Data Visualization

By: Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover

Overview of this book

QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations. Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources. With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro. This Learning Path includes content from the following Packt products: • QlikView for Developers by Miguel Ángel García, Barry Harmsen • Mastering QlikView by Stephen Redmond • Mastering QlikView Data Visualization by Karl Pover
Table of Contents (25 chapters)
QlikView: Advanced Data Visualization
Contributors
Preface
Index

Counting records


There are two main functions used to count records during load: RecNo() and RowNo(). After the data has been loaded, we can use another couple of interesting functions: FieldValueCount() and NoOfRows(). There is also a useful function, NoOfFields(), that tells us how many columns there are in a table.

RecNo

The RecNo() function gives us the number of the rows in the source table. While the output of the RecNo function will always be guaranteed to be ordered, there might be gaps in the sequence because rows may be excluded due to a where clause, for example, this load statement:

Table1:
Load *, RecNo() As RecNo1
Where Field1<>'C';
Load * Inline [
Field1
A
B
C
D
];

Only three rows will be loaded from the source because the row with C as a value is excluded by the Where clause. This results in this table:

Field1

RecNo1

A

1

B

2

D

4

The value 3 is missing in the sequence as the third row was not loaded.

It should also be noted that an additional load from a new source...