443 search results for "boxplot"

Boxplots or raw data graphs?

October 14, 2010
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Boxplots or raw data graphs?

We recently had a dilemma for an OSI publication about the design for the graphs. There will be dozens of these graphs showing the mean score on a given variable for nearly 11000 parents from 10 countries. This example is for household wealt...

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Labeled outliers in R boxplot

Labeled outliers in R boxplot

Boxplots are a good way to get some insight in your data, and while R provides a fine ‘boxplot’ function, it doesn’t label the outliers in the graph. However, with a little code you can add labels yourself:The numbers plotted next to ...

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Paired t-test in R Exercises

September 21, 2016
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Paired t-test in R Exercises

The paired samples t test is used to check if there are any differences in the mean of the same sample at two different time points. For example a medical researcher collects data on the same patients before and after a therapy. A paired t test will show if the therapy improves patient outcomes. There

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GoodReads: Exploratory data analysis and sentiment analysis (Part 2)

September 14, 2016
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GoodReads: Exploratory data analysis and sentiment analysis (Part 2)

After scraping reviews from Goodreads in the first installment of this series, we are now ready to do some exploratory data analysis to get a better sense of the data we have. This will also allow us to create features that we will use in future analyses. Setup and data preparation We start by loading Related Post

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cricketr sizes up legendary All-rounders of yesteryear

September 10, 2016
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cricketr sizes up legendary All-rounders of yesteryear

Introduction This is a post I have been wanting to write for several months, but had to put it off for one reason or another. In this post I use my R package cricketr to analyze the performance of All-rounder greats namely Kapil Dev, Ian Botham, Imran Khan and Richard Hadlee. All these players had … Continue...

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Tidying computational biology models with biobroom: a case study in tidy analysis

September 6, 2016
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Tidying computational biology models with biobroom: a case study in tidy analysis

Previously in this series: Cleaning and visualizing genomic data: a case study in tidy analysis Modeling gene expression with broom: a case study in tidy analysis In previous posts, I’ve examined the benefits of the tidy data framework in cleaning, visualizing, and modeling in exploratory data analysis on a molecular biology experiment. We’re using Brauer et al...

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Examining Data Exercises

September 6, 2016
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Examining Data Exercises

One of the first steps of data analysis is the descriptive analysis; this helps to understand how the data is distributed and provides important information for further steps. This set of exercises will include functions useful for one variable descriptive analysis, including graphs. Before proceeding, it might be helpful to look over the help pages

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Gotta catch them all

August 21, 2016
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Gotta catch them all

Introduction When data becomes high-dimensional, the inherent relational structure between the variables can sometimes become unclear or indistinct. One, might want to find clusters for numerous amounts of reasons - me, I want to use it to better unde...

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Welcome to The R Graph Gallery

August 2, 2016
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Welcome to The R Graph Gallery

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Does sentiment analysis work? A tidy analysis of Yelp reviews

July 21, 2016
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Does sentiment analysis work? A tidy analysis of Yelp reviews

This year Julia Silge and I released the tidytext package for text mining using tidy tools such as dplyr, tidyr, ggplot2 and broom. One of the canonical examples of tidy text mining this package makes possible is sentiment analysis. Sentiment analysis is often used by companies to quantify general social media opinion (for...

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