8 – Measures of Variability

In the previous blogs we looked at measures of central tendency, and expanded it to other measures of location. Measures of central tendency give us an idea about the middle point around which data is spread. But they don’t exactly tell us how much the variability there is in the data. Though percentiles give us […]

7 – Measures of Location

In a previous blog post we looked at the measures of Central Tendency. These measures like Mean, Median and Mode give us an idea about the mid point around which data is spread. As an extension to this, there are other Measures of Location that give us an idea about different points in the spread […]

6 – Applications of Data Analytics

In this blog I am attempting to capture some applications of Data Analytics across different businesses and domains. If you are totally new to this field of study, at the end of the blog you will get an idea of how important Analytics is in the current scheme of things and in next years. Marketing: […]

“neuralnet” function in R – Error in neurons[[i]] %*% weights[[i]]

Below is an error that I came across while executing “neuralnet” package in R for the first time. Error message: Error in neurons[[i]] %*% weights[[i]] :  requires numeric/complex matrix/vector arguments Reason: Neuralnet package cannot handle categorical inputs. All categorical input variables need to be converted to dummy variables before they can be passed to neuralnet. […]

5 – Measurement Scales Hierarchy

We discussed about different Measurement Scales of data in a previous post. The diagram below depicts the hierarchy among the different scales of measurement. Nominal scale of data contains the least amount of information and hence a limited set of statistical methods can only be applied on this data. This is represented by the inner […]