I like mathematics and see the potential it is not only in robotics or “almost sci-fi” technologies but everywhere where data is generated and should be understood.
I like Qlik, its possibilities and simplicity for end-users at the same time.
However, when it comes to mathematics and Qlik together, a lot of people think about SSEs – python or R – and default Qlik math functions are underestimated. I think there might be two reasons – Qlik users do not know about them or do not understand when these functions can help them. So, I decided to develop a Qlik app that will get you an overview of default mathematical functions in Qlik with a little bit of theory and above all, examples and exercises. All of them are interactive – thanks to Qlik 😉.
In the QS Math & Statistics app v1.0 you can find:
Quiz to test your skills with Qlikculator I am very proud of 😄 (what to do for 5 hours in a train without wifi)
An interactive overview of basic math functions with examples
Descriptive statistics – theory, example, and my thoughts:
Measures of central tendency
Measures of variability
Percentiles, quartiles, fractiles
Measures of distribution
Overview of different datasets
Intro to correlation
If you will find the app useful, in next versions I will add:
Outliers & extreme values – why and how to identify them
Financial functions with interactive examples
Linear regression with examples not only for prediction
Statistical distribution functions
Thanks, @RadOresky for your help and review of the app 😉.
I hope you will like it. Any recommendations are very welcome 😉,
Nice work you have done here! Though, your part of kurtosis needs a change while with a negative kurtosis the outlier character of the distribution is less extreme than that of a normal distribution. In your text, you state the opposite, while in your examples you show this the right way. Example two is less extreme than for example the random one.