Tag - Create

Advanced Base Graphics Exercises

(This article was first published on R-exercises, and kindly contributed to R-bloggers) Being able to visualize information through plots is essential for a statistic analysis. A simple and clean graph  can explain much more than words.  In this set...

Best practices while writing R code Exercises

How can I write R codes that other people can understand and use? In the exercises below we cover some of the best practices while writing a small piece of R code or a full automated script. These are some of the practices which should be kept in min...

Building Shiny App Exercises (part-9)

Share Tweet Shiny Dashboard Overview In this part we will “dig deeper” to discover the amazing capabilities that a Shiny Dasboard provides. Read the examples below to understand the logic of what we are going to do and then test yous skills with the...

Create an interactive web map with geotagged photos

Part 2: Create an interactive web map with geotagged photos See the other parts in this series of blog posts. In part 1 we looked at making a simple interactive map using locations from our geotagged photos. Those photos have data associated with the...

Creating Sample Datasets – Exercises

(This article was first published on R-exercises, and kindly contributed to R-bloggers) Creating sample data is a common task performed in many different scenarios. R has several base functions that make the sampling process quite easy and fast. Belo...

Data Hacking with RDSTK 2

Share Tweet RDSTK is a very versatile package. It includes functions to help you convert IP address to geo locations and derive statistics from them. It also allows you to input a body of text and convert it into sentiments. This is a continuation fr...

Data Scientists Will Change the World — Be One of Them

In the last couple of years, our role as data scientists has been deemed the “sexiest job of the 21st century.” Data science is a crucial and growing field, especially in tech startups. That’s a powerful position to be in. So, I pose a question: what...

Data Structures Exercises

Share Tweet There are 5 important basic data structures in R: vector, matrix, array, list and dataframe. They can be 1-dimensional (vector and list), 2-dimensional (matrix and data frame) or multidimensional (array). They also differ according to hom...