509 search results for "boxplot"

The Wordcloud2 library

December 9, 2016
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The Wordcloud2 library

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Outlier detection and treatment with R

December 9, 2016
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Outlier detection and treatment with R

Outliers in data can distort predictions and affect the accuracy, if you don’t detect and handle them appropriately especially in regression models. Why outliers treatment is important? Because, it can drastically bias/change the fit estimates and predictions. Let me illustrate this using the cars dataset. To better understand the implications of outliers better, I am Related Post

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Descriptive Analytics-Part 5: Data Visualisation (Continuous variables)

December 4, 2016
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Descriptive Analytics-Part 5: Data Visualisation  (Continuous variables)

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”. In order to be able to solve this set of exercises you should have solved the part 0, part 1, part 2,part 3, and part 4 of this series but also you should run this script which

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Forecast double seasonal time series with multiple linear regression in R

December 2, 2016
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Forecast double seasonal time series with multiple linear regression in R

I will continue in describing forecast methods, which are suitable to seasonal (or multi-seasonal) time series. In the previous post smart meter data of electricity consumption were introduced and a forecast method using similar day approach was proposed. ARIMA and exponential smoothing (common methods of time series analysis) were used as forecast methods. The biggest disadvantage of this...

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The Hitchhiker’s Guide to Ggplot2 in R

November 29, 2016
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The Hitchhiker’s Guide to Ggplot2 in R

About the book This is a technical book. The scope of the book is to go straight to the point and the writing style is similar to a recipe with detailed instructions. It is assumed that you know the basics of R and that you want to learn how to c...

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Can we predict flu deaths with Machine Learning and R?

November 26, 2016
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Can we predict flu deaths with Machine Learning and R?

Among the many R packages, there is the outbreaks package. It contains datasets on epidemics, on of which is from the 2013 outbreak of influenza A H7N9 in China, as analysed by Kucharski et al. (2014): A. Kucharski, H. Mills, A. Pinsent, C. Fraser,...

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Analysing the Gilmore Girls’ coffee addiction with R

November 21, 2016
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Analysing the Gilmore Girls’ coffee addiction with R

Last week’s post showed how to create a Gilmore Girls character network. In this week’s short post, I want to explore the Gilmore Girls’ famous coffee addiction by analysing the same episode transcripts that were also used last week. I am also ...

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Announcing ggforce: Accelerating ggplot2

November 21, 2016
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Announcing ggforce: Accelerating ggplot2

I am very pleased to announce the first release of the ggforce package. ggforce is a general ggplot2 extension package in the same vein as ggalt with no overarching goal other than to provide additional functionality to the ggplot2 universe. The inc...

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F is for Forecast

November 13, 2016
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F is for Forecast

First steps with time series and prediction in R - At the August meeting of the Inverness R User Group, one of the members gave an introductory presentation on times series in R. One of the data sets we looked at were the weekly CO2 levels f...

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Creating a Gilmore Girls character network with R

November 12, 2016
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Creating a Gilmore Girls character network with R

With the impending (and by many - including me - much awaited) Gilmore Girls Revival, I wanted to take a somewhat different look at our beloved characters from Stars Hollow. I had recently read a few cool examples of how to create co-occurrence networ...

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