November 2015

Average Expenses for TV across states of USA

November 30, 2015 | 0 Comments

This post makes an attempt to depict the averages spent across the states towards their TV channel expenses for a big size country (USA). Though it has been developed using sample data belonging to a particular service provider; this post depicts its interest in regional differences in average spent on ... [Read more...]

Average Expenses for TV across states of USA

November 30, 2015 | 0 Comments

This post makes an attempt to depict the averages spent across the states towards their TV channel expenses for a big size country (USA). Though it has been developed using sample data belonging to a particular service provider; this post depicts its i... [Read more...]

ggplot your missing data

November 30, 2015 | 0 Comments

Visualising missing data is important when analysing a dataset. I wanted to make a plot of the presence/absence in a dataset. One package, Amelia provides a function to do this, but I don’t like the way it looks. So I made a ggplot version of what it... [Read more...]

GloVe vs word2vec revisited.

November 30, 2015 | 0 Comments

Today I will start to publish series of posts about experiments on english wikipedia. As I said before, text2vec is inspired by gensim - well designed and quite efficient python library for topic modeling and related NLP tasks. Also I found very useful Radim’s posts, where he tried ... [Read more...]

Experiments on english wikipedia. GloVe and word2vec.

November 30, 2015 | 0 Comments

Today I will start to publish series of posts about experiments on english wikipedia. As I said before, text2vec is inspired by gensim - well designed and quite efficient python library for topic modeling and related NLP tasks. Also I found very useful Radim’s posts, where he tried ... [Read more...]

Emojis in ggplot graphics

November 30, 2015 | 0 Comments

R user David Lawrence Miller has created an extension for R's ggplot2 package that allows you to use emojis as plotting symbols. The emoGG package (currently only available on github) adds the geom_emoji geom to ggplot2, which uses an emoji code to identify the plotting symbol. For example: ggplot(... [Read more...]

Estimating mixed graphical models

November 30, 2015 | 0 Comments

Determining conditional independence relationships through undirected graphical models is a key component in the statistical analysis of complex obervational data in a wide variety of disciplines. In many situations one seeks to estimate the underlying graphical model of a dataset that includes variables of different domains. As an example, take ... [Read more...]

Fancy Cut

November 29, 2015 | 0 Comments

About a year ago I was working on an analysis that required me to take about 20 continuous variables and turn each into a factor based on some banding rule. The rules were complicated enough that using cut() was painful. [Read more...]

Interactive association rules exploration app

November 29, 2015 | 0 Comments

Features How to get How to use Screenshots Code In a previous post, I wrote about what I use association rules for and mentioned a Shiny application I developed to explore and visualize rules. This post is about that app. The app is mainly a wrapper around the arules and ... [Read more...]

The hidden benefits of open-source software

November 29, 2015 | 0 Comments

I’ve been having discussions with colleagues and university administration about the best way for universities to manage home-grown software. The traditional business model for software is that we build software and sell it to everyone willing to pay. Very often, that leads to a software company spin-off that has ... [Read more...]

The hidden benefits of open-source software

November 29, 2015 | 0 Comments

I’ve been having discussions with colleagues and university administration about the best way for universities to manage home-grown software. The traditional business model for software is that we build software and sell it to everyone willing to pay. Very often, that leads to a software company spin-off that has ... [Read more...]

gtrends 1.3.0 now on CRAN: Google Trends in R

November 29, 2015 | 0 Comments

Sometime earlier last year, I started to help Philippe Massicotte with his gtrendsR package---which was then still "hiding" in relatively obscurity on BitBucket. I was able to assist with a few things related to internal data handling as well as package setup and package builds--but the package is really largely ...
[Read more...]

Data Science Advent Calendar

November 29, 2015 | 0 Comments

2015 has been a great year for data science. So to get in the Christmas spirit, we’ve put together a very special advent calendar; come back every day and a new door to the world of data science will be … Continue reading → [Read more...]

R kernel in Jupyter notebook 3

November 29, 2015 | 0 Comments

I followed the post, Installing an R kernel for IPython/jupyter notebook 3 on OSX, to install jupyter with python3 and R kernels in my iMac. I have elementaryOS on my Macbook Pro and also want to have jupyter on it. The installation process is quite similar. Read More: 824 Words Totally
[Read more...]

Sixer – R package cricketr’s new Shiny avatar

November 29, 2015 | 0 Comments

In this post I create a Shiny App, Sixer, based on my R package cricketr. I had developed the R package cricketr, a few months back for analyzing the performances of batsman and bowlers in all formats of the game (Test, ODI and Twenty 20). This package uses the statistics info ...
[Read more...]

Wind in Netherlands II

November 29, 2015 | 0 Comments

Two weeks ago I plotted how wind measurements on the edge of the North Sea changed in the past century. This week the same dataset is used for hypothesis testing.DataThe most important things to reiterate from previous post is that the data is from KNMI and they come with ... [Read more...]

Wind in Netherlands II

November 29, 2015 | 0 Comments

Two weeks ago I plotted how wind measurements on the edge of the North Sea changed in the past century. This week the same dataset is used for hypothesis testing.DataThe most important things to reiterate from previous post is that the data is from KNM... [Read more...]
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