On this set of exercises, we are going to explore some of the probability functions in R with practical applications. Basic probability knowledge is required. Note: We are going to use random number functions and random process functions in R such as runif, a problem with these functions is that every time you run them […]
Exercises
Data wrangling : Cleansing – Regular expressions (1/3)
Data wrangling, is the process of importing, cleaning and transforming raw data into actionable information for analysis. It is a time-consuming process which is estimated to take about 60-80% of analyst’s time. In this series we will go through this process. It will be a brief series with goal to craft the reader’s skills on […]
Working with air quality and meteorological data Exercises (Part-1)
Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use openair package to work and analyze air quality and meteorological data. This packages provides tools to directly import data from air quality […]
Sending Emails from R Exercises
When monitoring a data source, model, or other automated process, it’s convienent to have method for easily delivering performance metrics and notifying you whenever something is amiss. One option is to use a dashboard; however, this requires active time and effort to grab numbers and catch errors. An alternative approach is to send an email […]
Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-6)
Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access […]
ggvis Exercises (Part-1)
INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be […]
More string Hacking with Regex and Rebus
For a begineer in R or any language,regular expression might seem like a daunting task . Rebus package in R gives a lowers the barrier for common regular expression tasks and is useful for a begineer or even for advanced users for most of the common regex skills in a more intuitive yet verbose way […]
Soccer data sparring: Scraping, merging and analyzing exercises
While understanding and spending time improving specific techniques, and strengthening indvidual muscles is important, occasionally it is necessary to do some rounds of actual sparring to see your flow and spot weaknesses. This exercise set forces you to use all that you have practiced: to scrape links, download data, regular expressions, merge data and then […]
Data visualization with googleVis exercises part 10
Timeline, Merging & Flash charts This is part 10 of our series and we are going to explore the features of some interesting types of charts that googleVis provides like Timeline, Flash and learn how to merge two googleVis charts to one. Read the examples below to understand the logic of what we are going […]
R Markdown exercises part 2
INTRODUCTION R Markdown is one of the most popular data science tools and is used to save and execute code, create exceptional reports whice are easily shareable. The documents that R Markdown provides are fully reproducible and support a wide variety of static and dynamic output formats. Using markdown syntax, which provides an easy way […]
