Qlik Sense and QlikView are both versatile tools.
They are known for providing insight-driven visual analytics applications that your end-users can interact with and quickly find key trends and outliers.
But, you can even leverage Qlik Sense or QlikView for building predictive models.
If you are in disbelief, read on!
I recently came across an article that articulated the relationship between teenage pregnancy and the poverty rate in America.
Some of the findings in this article are staggering.
- Only 38 percent of girls who have a child before age 18 get their high school diplomas by 22.
- Two-thirds of teen mothers who move out of their family home live in poverty, and a similar share receives public benefits in the first year of their child’s life.
- Seventy-eight percent of children born to teenage mothers –who never married and who did not graduate from high school — live below the federal poverty level.
This article inspired me to build a predictive linear regression model in Qlik Sense if there is nexus between teenage pregnancy and poverty rate in America.
The idea then is to predict teenage pregnancy — for the age group 15 to 17 — based on the poverty rate for a given State in the country.
I have written a guest blog post for Analytics Vidhya recently.
You can download the Qlik Sense App here
Watch this video tutorial to see how I created the linear regression predictive model step-by-step in Qlik Sense.
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