Presenting your report in an interactive and user-friendly way is a very effective communicative tool which can help you convey message to your audience easily. R is a very powerful analytic tool which helps you to do that with the “shiny” package. Here, I simply look at an app about the Mining Fields Evaluation which was
Sometimes, you would want to easily access and run your Python and R codes wherever you find yourself in the world once you have internet access. This is really handy when you have a mini-project you are working on , or you are going through an online tutorial, or you are trying to teach or
When someone applies for Credit, it will be unfair to reject those who duly qualify and it might be detrimental to the company to wrongly accept the wrong people. This is likely to happen if we try to make such decisions based on gut feelings. So how do we use Machine Learning to increase our
If you have ever worked with Java, Python, R, SQL, Excel and other Languages on a varied Data Science or Data Analytics projects, you will realise that all these languages have similar syntaxes, or at least, can achieve the same objective with very similar codes. Below is a comparison and similarities of these various tools
R is a very powerful language used in Data Science, Data Analytics and Stastistics in general. Having a knowledge of how R works will really help in your data analysis projects. This short article takes a snappy look at basic structure of creating a function in R and also a peep at Dates in R.
I was working on a Kaggle.com competition about sales forecasting and realised there are a lot of libraries in “R” that do a lot of forecasting and generally make forecasting pretty straight forward. What is “R” in the first place in the sphere of statistics and Data Science: R is a programming language and
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