Reshaping data is one of the important steps for data analysis and data transformation. Today we’ll see few of the methods and function in R. The tutorials is easy to follow. I’m using mtcars dataset which is available in R.
Hello friends! Overplotting is one of common issue faced by analysts during EDA (Exploratory data analysis), data visualization and getting inference the results. We’ll see few methods to prevent it.
Today we’ll see about the dplyr package in R also known as grammar of data manipulation. In the last tutorial we saw about the ggplot2 which is another famous package in R. It consist of set of functions which helps you for different type of data manipulation. I’ll be using medical cost data set from Kaggle(data source). I’ve listed all possible documentation and resources to learn more about the dplyr package.
Hello Friends! Today I’ll be analyzing my Uber trips using ubeR package in R. Uber provides cool API where you can use in multiple ways. From integrating to another app to Integrating to Amazon Echo or any other smart tool. More about Uber at wikipedia
Below Info-graphics will help you to understand the benefits of having a career in Data Science (click on the image for HD version).
Hello friends! Wishing you all a Very Happy New Year 2018!
Today we’ll be seeing the correlation matrix heatmap. Heatmaps are visually appealing with quick and easy to get inference. Follow the quick and easy tutorial.
Hello Friends! recently I was doing some research and got to know about an interesting law called Zipf’s law. You can read about it on wikipedia and how it is applicable almost everywhere.