March has been a busy month here at DataCamp! We've released 7 courses, 4 DataChats, and 8 articles. Luckily, this round-up post will cover the highlights, in case you missed them. Data Manipulation: Tidy Your Data! We were very excited to relea... [Read more...]

We’ve got some good stuff cooking over at Business Science. Yesterday, we had the fifth official release (0.5.0) of tidyquant to CRAN. The release includes some great new features. First, the Quandl integration is complete, which now enables getting Quandl data in “tidy” format. Second, we have a new mechanism ... [Read more...]

[Read more...]

The results of the 2017 StackOverflow Survey of nearly 65,000 developers were published recently, and includes lots of interesting insights about their work, lives and preferences. The results include a cross-tabulation of the most popular languages amongst the "Data Scientist/Engineer" subset, and the results were ... well, surprising: When thinking about data ... [Read more...]

[Read more...]

[Read more...]

I am currently developing my first R package which confronted me a lot with the question: “How can I speed up my code?”. I did some “research” and read a lot of general articles about speeding up code, but also a few posts specifically about speeding up R code. While ... [Read more...]

A brown bag bug fix release 0.0.3 of RApiDatetime is now on CRAN. RApiDatetime provides six entry points for C-level functions of the R API for Date and Datetime calculations. The functions asPOSIXlt and asPOSIXct convert between long and compact dat... [Read more...]

In a previous post of mine published at DataScience+, I analyzed the text of the first presidential debate using relatively simple string manipulation functions to answer some high level questions from the available text. In this post, we leverage a few other NLP techniques to analyze another text corpus – A ... [Read more...]

A tensor is essentially a multi-dimensional array: a tensor of order one is a vector, which simply is a column of numbers, a tensor of order two is a matrix, which is basically numbers arranged in a rectangle, a tensor of order three looks like numbers arranged in rectangular box (... [Read more...]

A tensor is essentially a multi-dimensional array: a tensor of order one is a vector, which simply is a column of numbers, a tensor of order two is a matrix, which is basically numbers arranged in a rectangle, a tensor of order three looks like numbers arranged in rectangular box (... [Read more...]

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We ... [Read more...]

@visualisingdata rebroadcast this tweet today: Wireless Passwords From Airports And Lounges Around The World https://t.co/OV0WJfwj8E— deb verhoeven (@bestqualitycrab) April 2, 2017 The Google Maps interface is a bit meh and the “formatted” data is also a bit meh but the data is useful when travelling (NOTE: always ... [Read more...]

To everyone learning R: Don’t save your workspace. When you exit an R session, you’re faced with the question of whether or not to save your workspace. You should almost never answer yes. Saving your workspace creates an image of your current variables and functions, and saves them ... [Read more...]

Objective if this post: alerting all users to double check case and spelling of all function parameters I am newbie in R and was trying RSNNS mlp function and wasted a lot of time due to some typos. RSNNS mlp function silently ignores misspelled keywords Example: I intentionally misspelled size ... [Read more...]

To avoid “branding” confusion with R⁴ I’m superclassing it to R⁶ and encouraging others in the R community to don the moniker and do their own small, focused posts on topics that would help the R community learn things. Feel free to use R⁶ (I’ll figure out an ... [Read more...]

[Read more...]

[Read more...]

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 exercise set we prepared for you. Lets begin! ... [Read more...]