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The marathon of teams’ data analysis/in Data science /by Przemyslaw Biecek
In just four days’ time we are going to start a marathon of teams’ data analysis. This time it’s a local Warsaw event, but next time? It’s up to us! Let us sum up what we know about that event.
Colors of cars/in Data science /by Przemyslaw Biecek
Last week we tried to find out what is the color of the cars with the highest engine power. It turned out that black and black metallic are most popular colors of the fastest cars. Yet engine power is not all. We still may explore the relation between color and brand.
What color car is the fastest?/in Data science /by Przemyslaw Biecek
RECOMB 2015, a conference devoted to computational molecular biology (with emphasis on computational), came to an end yesterday. Many interesting papers were presented, yet this post was inspired by a conversation that I had the pleasure to have during dinner break…
IMDB + ggvis, a happy couple/in Data science /by Przemyslaw Biecek
Two weeks ago we showed how to scrap data from IMDB database with the use of rvest package. Last week we showed a shiny application, that compares ratings from two selected groups of users. Today we are going to finish the IMDB trilogy. This time I am going to show how to create an ggvis plot based on IMDB data.
You should not watch these movies with your wife / girl/in Data science /by Przemyslaw Biecek
Last week’s post showed how to download data on ratings of over 200 television series. The rating was broken down by gender and age of the user. The application presented below allows for selection of any two age/gender groups of users and comparison of their ratings…
R, rvest and web-harvesting/in Data science /by Przemyslaw Biecek
Data harvested from the web pages is a source of interesting information. Pulling data used to require quite a lot of resilience and misshapen Perl scripts struggling with messy sources of web pages. Today’s web pages more and more frequently comply meet the standards. There are also more and more civilized tools for parsing websites.
Canonical discriminant analyses and HE plots/in Data science /by Przemyslaw Biecek
Last week we wrote about multidimensional linear models. We discussed a case in which a k-dimensional vector of the dependent variables is related to a grouping variable. We look at matrices E and H in order to find out whether there is any relationship (see the previous blog).
HE plots/in Data science /by Przemyslaw Biecek
GPS helps the drivers to avoid traffic jams, yet in more advanced uses it allows for fleet management or remote drone strikes. It is just the same with visualization. Bars and dots can be used to present a set of several means but there are also more advanced uses…
Spark + R = SparkR/in Data science /by Przemyslaw Biecek
Spark wins more and more hearts. And no wonder, comments from different sources tell us about a significant speed up (by an order of magnitude) for analysis of big datasets. Well-developed system for caching objects in memory allows us to avoid torturing hard discs during iterative operations performed on same data.
Pretty heat maps/in Data science /by Przemyslaw Biecek
Do you know where Kamil Stoch earns most of his points in season 2013/2014? Some time ago I came across a pheatmaps package for R software which generates much nicer heat maps than the standard heatmap() function. This is why the package is named…