384 search results for "pca"

College Football EDA with R

November 13, 2016
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College Football EDA with R

Contributed by Wann-Jiun Ma. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between September to The post College Football EDA with R appeared first on NYC Data Science Academy Blog.

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Filled Chord Diagram in R using Plotly

November 8, 2016
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In this post we’ll create a Filled Chord Diagram using plotly. The post is inspired by Plotly’s Python documentation. Install / update packages Just to ensure we are working with the latest dev version of plotly. Dataset The dataset we’ll use consists of the number of comments a person made on her own facebook

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Do you know Sparse Principal Components Analysis, Mr Trump?

October 3, 2016
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Do you know Sparse Principal Components Analysis, Mr Trump?

While writing a paper on sparse principal component analysis I came across an old dataset containing 1990s socio-economic data and rate of violent crime for 1994 communities in the US. I am not a sociologist, so my analysis may be superficial, but I found the results interesting with respect to Mr Trump's political views. Looking at the results, it...

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Data analysis of the French football league players with R and FactoMineR

October 3, 2016
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Data analysis of the French football league players with R and FactoMineR

This year we’ve had a great summer for sporting events! Now autumn is back, and with it the Ligue 1 championship. Last year, we created this data analysis tutorial using R and the excellent package FactoMineR for a course at ENSAE (in French). The dataset contains the physical and technical abilities of French Ligue 1 and Ligue 2 players. … Continue...

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Customer Segmentation Part 3: Network Visualization

September 30, 2016
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Customer Segmentation Part 3: Network Visualization

This post is the third and final part in the customer segmentation analysis. The first post focused on K-Means Clustering to segment customers into distinct groups based on purchasing habits. The second post takes a different approach, using Pricipal C...

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DESeq2 Course Work

September 28, 2016
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DESeq2 Course Work

The following workflow has been designed as teaching instructions for an introductory course to RNA-seq data analysis with DESeq2. The course is designed for PhD students and will be given at the University of Münster from 10th to 21st of October...

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exprAnalysis package

September 27, 2016
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exprAnalysis package

I created the R package exprAnalysis designed to streamline my RNA-seq data analysis pipeline. Below you find the vignette for installation and usage of the package. This package combines functions from various packages used to analyze and visuali...

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Learning Statistics on Youtube

September 19, 2016
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youtube

Youtube.com is the second most accessed website in the world (surpassed only by its parent, google.com). It has a whopping 1 billion unique views a month. It is a force to be reckoned with. In the video sharing platform, there are many brilliant and hard-working content creators producing high-quality and free educational videos...

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Analyzing World Bank data with WDI, googleVis Motion Charts

September 17, 2016
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Analyzing World Bank data with  WDI, googleVis Motion Charts

Recently I was surfing the web, when I came across a real cool post New R package to access World Bank data, by Markus Gesmann on using googleVis and motion charts with World Bank Data. The post also introduced me to Hans Rosling, Professor of Sweden’s Karolinska Institute. Hans Rosling, the creator of the famous … Continue...

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Clustering using the ClusterR package

September 11, 2016
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Clustering using the ClusterR package

This blog post is about clustering and specifically about my recently released package on CRAN, ClusterR. The following notes and examples are based mainly on the package Vignette. Cluster analysis or clustering is the task of grouping a set...

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