Authors: John Mount, and Nina Zumel 2018-10-25 As a followup to our previous post, this post goes a bit deeper into reasoning about data transforms using the cdata package. The cdata packages demonstrates the "coordinatized data" theory and includes an implementation of the "fluid data" methodology for general data ...

Today was my first day with Jupyter Lab . I knew about Jupyter Lab listening episode 44 of  DataFramed, the DataCamp‘s official podcast presented by Hugo Bowne-Anderson. In this episode, Project Jupiter was described in the context of interactive computing by Brian Granger, professor of physics and data science at Cal ...

Spatial visualizations really come to life when you have a real map as a background. In R, ggmap is the package that you’ll want to use to get these maps. In what follows, we’ll demonstrate how to use ggmap with … Continue reading →

At DataCamp, we pride ourselves on having the best platform and the best curriculum for learning data science. To this end, we put a lot of effort into ensuring that every exercise is both effective at educating and enjoyable. After a course is launche...

As a data scientist, whenever I am developing and testing financial models in R I’ve consistently run into data size limitations, large or distributed compute clusters, and many long waits for my results to be processed and returned. That's why I was genuinely impressed with how our recently released ...

view raw Rmd This tutorial is the second part in a series of three: General concepts illustrated with the world map Adding additional layers: an example with points and polygons (this document) Positioning and layout for complex maps In the ...

Halloween is coming..! Halloween is just around the corner, I am still trying to decide which candies to purchase this year for trick-or-treaters. Initially I was looking for data sets maybe comparing American chocolate bars vs Canadian chocolate bars possibly with sugar contents or lists of ingredients. I am really ...

view raw Rmd This tutorial is the third part in a series of three: General concepts illustrated with the world map Adding additional layers: an example with points and polygons Positioning and layout for complex maps (this document) After th...

view raw Rmd Beautiful maps in a beautiful world Maps are used in a variety of fields to express data in an appealing and interpretive way. Data can be expressed into simplified patterns, and this data interpretation is generally lost if the data is only seen through a spread sheet. ...

first steps: how to For those who will laugh at seeing deep learning with one hidden layer and the Iris data set of 150 records, I will say: you’re perfectly right ???? The goal at this stage is simply to take the first steps fit a regression model manually (hard way) ...

rOpenSci’s software engineer / postdoc Jeroen Ooms will explain what images are, under the hood, and showcase several rOpenSci packages that form a modern toolkit for working with images in R, including opencv, av, tesseract, magick and pdftools. ???? Thursday, November 15, 2018, 10-11AM PST; 7-8PM CET (find your timezone) ☎️ Find ...

Following the highly successful M4 Forecasting Competition, there will be a conference held on 10-11 December at Tribeca Rooftop, New York, to discuss the results. The conference will elaborate on the findings of the M4 Competition, with prominent sp...

One of the differences between statistical data scientists and machine learning engineers is that while the latter group are concerned primarily with the predictive performance of a model, the former group are also concerned with the fit of the model. A model that misses important structures in the data — for ...

I was thinking about creating a glossary in bookdown and found out that there was already an issue about it. I like Yihui’s recommendation: use Pandoc’s definition lists. This was exactly what I had been doing, but I quickly found out that there was a major drawback – the ...

I use generalized additive models (GAMs) in my research work. I use them a lot! Simon Wood’s mgcv package is an excellent set of software for specifying, fitting, and visualizing GAMs for very large data sets. Despite recently dabbling with brms, mgcv is still my go-to GAM package. The ...