What if I told you, data shows people who smoke more cigarettes are less likely to get severe Covid. Sounds counterintuitive, isn’t it? Let’s look at what this data is.

Oftentimes we find ourselves looking for trends in data presented to us on a daily basis. Common examples are stock prices, website traffic etc. typically referred as time series data. One aspect of such an analysis is to spot the beginning or reversal of a trend. This means being able…

It’s great to represent data visually with an aim of uncovering insights and communicating effectively from data. We know there are all kinds of data visualizations out there, from a simple line chart to complicated diagrams that represent many dimensions of data in the smallest real estate. One thing every…

Let’s say you have a dataset containing test scores of students and number of hours they studied a day before the test. Here is how the relationship between them looks like.

As an analyst you want to get the most out of your regression model. While you are often limited (or spoilt) by the number of features in your dataset, there are creative ways to power up your model. One of them is to look at interaction effects between features. An…

More data is being collected now than ever before. So much so, that the lines between data analysis and insight frequently blur. In a growing field like analytics, it is common for misconceptions to set in and terms to be used loosely. Here are my thoughts — Data is not…

Let’s say you run into a dataset of house prices in your locality with their corresponding area in square feet. You being a data enthusiast want to understand the relationship between area and price. The first thing you probably would do is create a scatter plot. …

More often than not, the data we get for analysis is not about the entire population we wish to study — it’s a sample. Sampling makes sense for the following reasons : It is very expensive to collect data about an entire population. …

The term ‘statistical significance’ often comes up in analyzing results from experiments or observational studies. A common interpretation I have heard in an experimentation context is - Statistical significance tells us if the difference in results between different populations is ‘large’ enough or simply put, whether an experiment had a…