A graphical display to summarize the distribution of a sample. It displays five numbers plus (possibly) some outliers - those five points being the median, hinges (approximate quartiles), and the largest and smallest value not counting any points marked as outliers.

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31 views

Testing the difference between two samples with very different sizes using an un-paired t-test

I want to test wether population A is significantly different from population B (at 5% confidence interval). I need to do it for each variable using an un-paired t-test, since my data are normally ...
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1answer
20 views

How to add overall data to group by category chart in R? [closed]

i have a (ggplot) chart whit multiple data grouped by factor column. I also would like to add an "overall" group to it. Is there an easy way to do this? For example i want to extend this plot with a ...
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0answers
26 views

suitable statistics to replace box plot [closed]

I am applying few classification methods on a set of images. Currently, I have experimental results in box-plots and want some statistical method to report them in my dissertation. Problem ...
4
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3answers
106 views

How to compare the distributions of two variables

The attached figure plots the distributions of two variables. I want to demonstrate statistically how closely the the two distributions match each other. What is the best way of doing this?
3
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1answer
53 views

Exploratory data analysis using box plots

How should you make a box plot when the data have an outlier? Must we use the data with the outlier, or use the data without the outlier? If we use the data without the outlier, we will change the ...
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39 views

Outliers in Boxplots when calculating means

I have a dataset for which I am making boxplots. I do not want to include the outliers in the box plot so I give an argument outline=FALSE in the command. In the next step I want to put the mean ...
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4answers
296 views

Confused by location of fences in box-whisker plots

In one type of box-whisker plot, the fences at the ends of the whiskers are meant to indicate cutoff values beyond which any point would be considered an outlier. The standard definitions I've found ...
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0answers
60 views

Is there a name for this sort of plot? Is there any reason not to use it?

Suppose we have some time series data, with multiple samples per time unit. For example: ...
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0answers
57 views

how should i interpret boxplot and manova results simultaneously?

I have a data in which i am interested in how the response of photosynthesis and conductance varies differentially among different temperatures/ranks/crosses/genotypes. I have set up a manova to do ...
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2answers
496 views

Box-and-Whisker Plot for Multimodal Distribution

Can I use box-and-whisker plots also for multimodal distribution or only for unimodal distribution?
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1answer
148 views

Boxplots vs. Confidence Intervals

I designed a heuristic that solves a problem concerning network graphs. It was tested on thousands of different instances that have various different characteristics: Topology, template, number and ...
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2answers
90 views

What does a Barplot, a Boxplot and eCDF represent?

I want to understand what a barplot, boxplot, and eCDF represent when they are used for plotting data. A barplot is kind of intuitive, easy to understand what it represents. But I fail to understand ...
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2answers
156 views

Can I say that my samples are different just by looking at box plots without performing a test?

Is it possible to say that my samples are significantly different (or not) from each other just by looking a box plots? If yes, what do I have to look at and what is the theory behind it? I read ...
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1answer
279 views

JFreeChart Boxplot appearance

I'm need to create boxplots to analyse and evaluate test results. Since I program in Java this answer convinced me to use JFreeChart. The BoxAndWhisker chart seemed similar to what I wanted. I spent ...
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1answer
1k views

Why does Tableau's Box/Whisker plot show outliers automatically and how can I get rid of it?

I have a data set shown as box-whisker graphs after disaggregating. See below. I am wondering why Tableau (the product I am using) automatically plots a whole bunch of values outside the ...
2
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0answers
67 views

Is there any use of having dual error bars in bar charts to show both descriptive and inferential statistics?

I would like to display information both about the distribution of the population and the certainty in the measurements in the same plot. Would there be any use of having dual error bars in a barchart ...
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0answers
21 views

Boxplots with percentiles instead of hinges [duplicate]

I am new to R and am working with a dataset refined of 254 datapoints that are in 12 different groups and would like to compare the parameters with boxplots between ...
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1answer
444 views

Box plot with just two values does not have its whiskers in R

Are boxplots by default unable to produce the whiskers when there are just 2 values being input? I am working with dataset rufi and the values input are ...
2
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3answers
306 views

What is “the shortest half of the data”?

Here is a histogram (realized with JMP) displaying two types of box plot called outlier box plot and quantile box plot. Right below, there are a bunch of explanations of the meaning of the ...
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3answers
3k views

How to present box plot with an extreme outlier?

I could use some guidance about presenting some data. This first plot is a case-control comparison for the cytokine IL-10. I've manually set the y axis to include 99% of the data. The reason I ...
3
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0answers
154 views

Boxplots with lognormally distributed data

Context Environmental data (e.g., pollutant concentrations in water, soil, air) are often lognormally distributed. Even when they are not, we tend to assume that they are (for better or worse). ...
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2answers
119 views

Best way to compare distributions with spikes

Following this question, I am interested on the best way to display four distributions with spikes. Indeed, I have four distributions with circa 75% of elements in it at the maximum value (1). I am ...
5
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1answer
272 views

How to transform an accuracy distribution for a violin plot

I am trying to find the best way to visualize different distributions of accuracy. Accuracy here is a value in the interval [0,1], 0 meaning not accurate, 1 maximum accuracy. I have different methods ...
2
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1answer
164 views

Alternatives to box plots for comparing clustering results

In my research paper, I wish to compare the accuracy of 2 clustering algorithms. I have conducted clustering using these 2 algortihms on 300 proprietary datasets. I use adjusted rand index as the ...
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3answers
18k views

How to assess skewness from a boxplot?

How to decide skewness by looking at a boxplot built from this data: 340, 300, 520, 340, 320, 290, 260, 330 One book says, "If the lower quartile is farther from the median than the upper quartile, ...
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3answers
964 views

Is visual inspection the only way to compare large datasets?

I have two large data sets, in fact, one of them is even much larger than the other. Visually, there doesn't seem to be that much difference between them: The actual data underlying the box plot ...
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1answer
691 views

Reproduce boxplot with only data points at given quantiles

It is trivial to create a boxplot in R with a full dataset. However, with limited access to the whole dataset, I just have 5 data point at min, 25%, 50% ,75%, and max. So is there any easy way to ...
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3answers
4k views

Deduce variance from boxplot

I was wondering how to deduce the variance of a variable using a boxplot. Is it at least possible to deduce if two variables have the same variance observing their boxplot?
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104 views

Visualizing many left-skewed distributions

I have a series of left-skewed/heavy tailed distributions that I would like to show. There are 42 distributions across three factors (labeled as A, ...
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1answer
178 views

statsmodels: error in kde on a list of repeated values

I am using Python's statsmodels module to plot a violin/bean plot of some data. I get the error "LinAlgError: singular matrix" in the KDE calculation whenever a single violin plot is drawn from a list ...
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69 views

beanplots: plus sign?

I would like to draw bean plots using the statsmodel package for Python. In the example provided on the documentation, I see a red plus sign in each beanplot: What does it represent?
3
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1answer
192 views

Interpreting box plots with one whisker [duplicate]

I have done a boxplot to represent my claim frequency. However make 2 and 4 have only 1 whisker. How do I interpret that?
11
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2answers
4k views

“When to use boxplot and when barplot” rules (of thumb?)

Both box-and-whisker plot and bar chart are appropriate graphics for ANOVA according to The R Book (Crawley, 2013), but which is more appropriate? I suppose it depends on situation... can anybody help ...
2
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0answers
90 views

Calculating boxplots with imputed data

I have imputed a dataset which has over 200 variables, and 20 observations. In worst case, 80% of the data is missing, in the best case 100% is available. 5 out of the 20 participants provided data ...
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0answers
31 views

Combining Box Plot with frequency count [duplicate]

Are there graphing techniques (certain kinds of plots) that are similar to the Edward Tufte's box plots - shown below - but that consider the distribution of the data points? But instead of a black ...
5
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1answer
485 views

Pairwise comparisons for a regression with sandwich estimates (in R)

The question in short I run a robust regression in R and made a boxplot with only one of the predictor variable grouping the response variable. On this boxplot I'd like to add some information about ...
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140 views

How to check the assumption of equal error variance might be violated?

I want use this box plot to check it. Thank you
3
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1answer
562 views

Explaining a boxplot and providing a reference in a technical paper

I am writing a CS paper, I usually would assume anyone knows what a boxplot is in a technical domain. Is a reference required or are boxplots knowledge that can be assumed? What is essential to ...
4
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3answers
441 views

Making box plots when analyzing a case with 3 predictor variables?

When there are 3 predictor variables to consider, what is the correct procedure? Do we make box plots for all the possible 2 combinations or is there a way to compare 3 variables? Sorry if this is a ...
2
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1answer
4k views

Boxplot interpretation: is it correct that a boxplot is missing a whisker?

I have a data set that has customerID and daily visits. This dataset records the number of times customers visited the site in a day. ...
1
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1answer
120 views

Graphic representation of data

I conducted exploratory analysis of my data and got Mean and standard deviation values from the original data and plotted the data using boxplots. I conducted regression models (GLM and GLMM) on the ...
3
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2answers
227 views

Comparing weights versus time graphically using reshape, vioplot, and ggplot2

I have a group of 200 children who came to clinic at months 0, 1, 2, 3, 6, 9, and 12 this year. At each clinic visit the children were weighed. ...
6
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7answers
1k views

Software to produce confidence interval error bars from summary statistics without access to the original data

A bit like a box plot. I mean not necessarily the standard upper confidence interval, lower confidence interval, mean, and data range-showing box plots but I mean like a box plot with just the three ...
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202 views
4
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1answer
3k views

Negative inner fence value in a box and whiskers plot?

I calculated a negative lower inner fence value. I've double checked my work but I can't figure out what's wrong. I was under the impression that these values couldn't be outside of the min and max ...
-1
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1answer
487 views

Multiline names (x labels) in boxplot [closed]

In R, I would like to give multiline names to some data sets in boxplot, like this: ...
3
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0answers
37 views

Application to a real life problem: identifying outliers in univariate time series data [duplicate]

I have a rather simple problem that I'm having trouble deciding an answer upon. As a student studying Statistics I'm very familiar with terminology and theory but I suppose I'm stumped on my first ...
3
votes
1answer
539 views

Assumptions of Mann-Whitney U-test

I have 2 samples, which I got by conducting a 5-point Likert scale survey. I have 9 results for group A and 17 results for group B for 12 variables. I would like to test now if the groups differ ...
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2answers
514 views

Re-check boxplot after outlier removal

I have a sample of 608 subjects and I need to remove outliers for age. In R, the boxplot appears like this: It shows 74 outliers: ...
3
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1answer
717 views

Statistical grounding for difference between median as a proportion of overall visible spread

I'm helping someone with prep for their stats assessment and they are being instructed to use the following to make an informal inference about the population: I was wondering if there is any ...