1796 search results for "Time Series"

Foodborne Chicago finds dodgy restaurants with tweets, and R

August 16, 2013
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Foodborne Chicago finds dodgy restaurants with tweets, and R

If, like me, you've ever had a sandwich from a dubious deli and then been laid up for days afterwards, you know that food poisoning is no trifling matter. In the past, local authorities would only ever learn of such public health issues if they get reported to the authorities by the victim (or the victim's doctor). But that...

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Anomaly Detection Using The Adobe Analytics API

August 15, 2013
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Anomaly Detection Using The Adobe Analytics API

As digital marketers & analysts, we’re often asked to quantify when a metric goes beyond just random variation and becomes an actual “unexpected” result. In cases such as A/B..N testing, it’s easy to calculate a t-test to quantify the difference between two testing populations, but for time-series metrics, using a t-test is likely not appropriate. Anomaly Detection Using...

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The Brand as Affordance: Item Response Modeling of Brand Perceptions

August 13, 2013
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The Brand as Affordance: Item Response Modeling of Brand Perceptions

It is just too easy to think of a brand as a web of associations.  What comes to mind when I say "Subway Sandwich"?  Did you remember a commercial or the "eat fresh" tagline?  Without much effort, one can generate a long list of associat...

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A beginner’s video introduction to R, from Google

August 12, 2013
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If you're an absolute beginner to the R language, this Intro to R video series from Google Developers is a great place to get started. Just download R for your system, start the playlist below, and follow along with the on-screen examples. (The video uses the MacOS X version of R, but you should be able to follow along...

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Exploratory Data Analysis: The 5-Number Summary – Two Different Methods in R

Exploratory Data Analysis: The 5-Number Summary – Two Different Methods in R

Introduction Continuing my recent series on exploratory data analysis (EDA), today’s post focuses on 5-number summaries, which were previously mentioned in the post on descriptive statistics in this series.  I will define and calculate the 5-number summary in 2 different ways that are commonly used in R.  (It turns out that different methods arise from

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The tenure of Doctor Who incarnations

August 3, 2013
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The tenure of Doctor Who incarnations

With a new actor being announced tomorrow, it got me pondering about the good Doctor. Specifically, who is the longest serving doctor? IMDB has the data: Let’s plot it to see how it changes over time. There was a definite shift after Tom Baker towards a shorter term as the doctor. In terms of screen

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Dashboards in R with Shiny and GoogleVis

August 2, 2013
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Dashboards in R with Shiny and GoogleVis

Previously on this post, I introduced limitedly some features of the Shiny package. However, I felt the need of doing a new post related to Dashboards due to many reasons: a) Shiny has changed most of its functions and the … Continue reading →

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Slidify Did That… and That… and…

July 31, 2013
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In my exuberance for rCharts, I have not expressed my equal love for its older sibling slidify.  I adopted slidify a little more slowly than other R bloggers Create elegant, interactive presentations from R with Slidify Interactive slides with go...

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Measuring Bias in Published Work

July 31, 2013
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Measuring Bias in Published Work

In a series of previous posts, I’ve spent some time looking at the idea that the review and publication process in political science—and specifically, the requirement that a result must be statistically significant in order to be scientifically notable or publishable—produces a very misleading scientific literature. In short, published studies of some relationship will tend

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Measuring Bias in Published Work

July 31, 2013
By
Measuring Bias in Published Work

In a series of previous posts, I’ve spent some time looking at the idea that the review and publication process in political science—and specifically, the requirement that a result must be statistically significant in order to be scientifically notable or publishable—produces a very misleading scientific literature. In short, published studies of some relationship will tend

Read more »