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1 vote
1 answer
68 views

Distributional visualization of small discrete values

I have barely under 40 small integer counts per measurement type from a study subject. The counts start from zero, and the distributions are highly positively skewed. See the annexed image. Without ...
2 votes
4 answers
420 views

Web apps for visualization of probability distributions

I am looking for a tool to demonstrate how the shapes of some basic probability distributions (binomial, hypergeometric, Poisson, exponential and normal) change as a function of their parameters. I ...
10 votes
1 answer
15k views

My data are very skewed and I can't see any detail in a histogram. How do I see the shape?

I have a vector with income values of all companies that I found (n=1821). The income should look like a lognormal distribution, but if I use the hist function in R ...
1 vote
0 answers
26 views

Bishop Gaussian Basis

In Pattern Recognition and Machine Learning by Christopher Bishop he says in Section 3.3.2 titled Predictive distribution If we used localised basis functions such as Gaussians, then in regions away ...
2 votes
1 answer
46 views

Plotting/modelling a histogram with large bins of small values

I'm wondering some best practices or approaches for data where, for example, as in the below image the low value bins are most common, but you are interested in the whole distribution. Here is a ...
2 votes
3 answers
141 views

How to work out the expected rate of success when there is a guaranteed success on the nth attempt?

I'm looking to work out how to find the expected success rate when given the rate of success but, also after n-1 failed attempts, there the success rate is 100% for the nth attempt. Intuitively I ...
4 votes
1 answer
846 views

What is the point of getting the bootstrapped skewness and kurtosis in a Cullen and Frey graph?

I have two examples of a Cullen and Frey graph (obtained using the fitdistrplus package in R). The first is from this question, and the second is from some data I have. I don't understand what the use ...
4 votes
2 answers
301 views

Categorical or continuous scale for area chart?

I would like to plot the attached as an area chart: As you can see, personal income is divided into 26 intervals of varying width. I also have the average and mean income in the intervals. To convey ...
0 votes
0 answers
45 views

Effectively Visualizing P-value Distributions with Excessive 1.0 Values

I'm dealing with a discrete statistical test scenario where a significant portion of the P-values calculated are exactly 1.0, due to the nature of the test statistic not exceeding its observed value ...
0 votes
1 answer
149 views

Compare CCDF of datasets with different sample size

I have 3 dataframes with the same structure (each dataframe includes a different type of tweet). Here are the columns of dataframes: id, ...
6 votes
4 answers
3k views

How to draw a probable outcome from a distribution?

I have collected positional data. To visualize the data, I'd like to draw a 'typical' outcome of an experiment. The data comes from a few hundred experiments, where I identify a variable number of ...
4 votes
2 answers
535 views

Information from plot of sorted values of a vector

Can we get any meaningful information (especially regarding its distribution) from a simple plot of sorted values of a vector? For example, what would following plot convey: ...
2 votes
1 answer
3k views

How to interpret pairplots()

I have been working on a Classification problem. And I want to see how many features associate with the target variables. Let me share an example. I got this pairplot using ...
3 votes
1 answer
732 views

Visually compare binomial and beta-binomial appropriateness in R

I'm trying to choose the best distribution family for generalized linear regression. My outcome is cross-sectional, over-dispersed proportion data (# of behaviors/20-22 possible behaviors). I used the ...
2 votes
2 answers
79 views

Are there any stat libraries that show normal distributions across values of the theta

I'm looking at the sensitivity of a hall-effect sensor and trying to characterize its abilities visually. Most sensor ranges or power ratios are dependent on the direction of the sensor and also a ...
0 votes
0 answers
35 views

When to put error bars on distribution density for an ordered categorical variable?

I have seen various articles putting error bars on distribution density of either ordered categorical variables or categorical variables. $Q:$ When is it appropriate to put SE error bar on estimated ...
5 votes
1 answer
251 views

Graphing a P-P plot given a set of data from a Poisson distribution?

I'm attempting to complete an assignment for a class and reading the book isn't particularly helpful as it's extremely wordy and unclear. I'm mainly confused on exactly what the x and y values are ...
14 votes
4 answers
11k views

Boxplot equivalent for heavy-tailed distributions?

For approximately normally distributed data, boxplots are a great way to quickly visualize the median and spread of the data, as well as the presence of any outliers. However for more heavy-tailed ...
120 votes
4 answers
39k views

Assessing approximate distribution of data based on a histogram

Suppose I want to see whether my data is exponential based on a histogram (i.e. skewed to the right). Depending on how I group or bin the data, I can get wildly different histograms. One set of ...
3 votes
3 answers
7k views

What does a Diagonal Gaussian Distribution look like in 3 dimensions?

I was able to find https://brilliant.org/wiki/multivariate-normal-distribution/ and I am aware the the diagonal gaussian distribution is a special case where the only entries are on the diagonal, ...
1 vote
2 answers
98 views

How can I visualize the dataset with $n$ samples and $p$ variables to check whether it is from a specific and known distribution to check?

Background The lecturer of statistical computing asked such a question in title. To be specific, the population distribution is $$ f(x_1, \cdots, x_p) = \left(x_1^{p-1} + \cdots + x_p^{p-1}\right)I(0&...
2 votes
1 answer
370 views

How to qualitatively describe distribution shapes

I have a distribution which looks a bit binomial, though with a cutoff, i.e.: $P(x) = 0$ if $x \le 0$, rises to a bell-shaped peak at around $x=0.2%$, appears to tail off exponentially until an ...
1 vote
1 answer
313 views

Fitting measured, real-world data to theoretical distribution: How to test goodness?

I have a large sets of real-world user data (30k, 80k, 90k measurements). To be precise those are simply session lengths for a specific system. I want to create a theoretical model of this, to ...
23 votes
7 answers
40k views

What are some alternatives to a boxplot?

I am working on creating a website, which displays the census data for a user selected Polygons & would like to graphically show the distribution of various parameters (one graph per parameter). ...
7 votes
4 answers
12k views

How to visualize an evolution of a distribution in time?

Suppose you have a record of distribution for each day in some period. For example, some distribution which depends on a parameter which evolves over time. Suppose we have dozens or hundreds of days. ...
3 votes
1 answer
2k views

Best way to plot a heavy tailed distribution?

Log-log seems more conventional to plot a probability distribution to look for evidence of a heavy tail. Why is this the case? For data with a heavier tail than an exponential distribution, wouldn't ...
0 votes
0 answers
32 views

Create a synthetic dataset from the measures of spread

I have certain measures of spread (p50, p66, p75, p80, p90, p95, p98, p99, p99.9, p99.99, p100, Median, Mean, Min, Max)as my attributes. Can I regenerate a data distribution from these? Use case: I ...
15 votes
2 answers
23k views

Box-and-Whisker Plot for Multimodal Distribution

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

Help with interpreting a cumulative probability distribution graph in a journal paper

I am from the life sciences field (neuroscience research) and I am reading a journal paper about the formation of dendritic spines. In their experiments, they count the number of protrusions along ...
1 vote
1 answer
396 views

Describing / fitting a highly skewed distribution

I've got a data set of 84,529 entries, each entry referring to the number of times a particular entry is cited in a database. This set is extremely skewed, ranging from entries with 0 citations to one ...
1 vote
2 answers
336 views

Histogram vs Bar Graph [closed]

I have data for number of patients used to collect the data in a hospital for each day. I want to display them as a graphical representation of number of patients used to collect the data for each ...
2 votes
1 answer
85 views

When is it favorable to not visualize univariate data using empirical CDFs?

A straightforward question: when is it "favorable" to interpret visualizations using, say, boxplots, histograms/density estimates, versus empirical cumulative density functions (ECDFs)? I've ...
3 votes
1 answer
3k views

What do ggplot's stat_summary errorbars mean?

Say we have the following data: ...
32 votes
7 answers
17k views

What are good data visualization techniques to compare distributions?

I am writing my PhD thesis and I've realized that I rely excessively in box plots in order to compare distributions. Which other alternatives do you like for achieving this task? I'd also like to ask ...
1 vote
1 answer
64 views

Distribution of the time delay between vaccination and death

So please first let me state that I'm absolutely pro vaccine and not trying to demonstrate anything here, I just thought that the VAERS (Vaccine Adverse Event Report System) data was an interesting ...
1 vote
1 answer
175 views

Concise overview of prototypical distributions

[This question is mainly a reference request.] I'm searching for a somehow concise and complete table of prototypical distributions that would allow a test person to easily choose which typical ...
0 votes
2 answers
47 views

Videogame market analysis

I'm looking if there is a name for what I'm trying to do. TLDR: Market contains offers to exchange currency 1 for currency 2. I want to make a histogram showing total volumes of currency1 in specific ...
1 vote
0 answers
736 views

Dimension Reduction for High Dimensional Probability Distributions

I have often seen dimension reduction techniques being performed on datasets, such as the famous Iris Flower dataset (below: common visualization techniques applied on a medical dataset): However, I ...
2 votes
1 answer
216 views

Comparing consistency of ratios of two proportions over time

I have two different metrics (supply and demand) distributed over same parameters( Type of occupation). I want to check if the ratio of supply proportion to demand proportion is consistent over time ...
1 vote
1 answer
148 views

Best fit line with probability data

How do I best find a best fit line if my y data is probability functions rather than single points? Obviously, in every regression problem you can include uncertainty on the xs and ys, but I have a ...
4 votes
1 answer
1k views

How to visualize Dirichlet distribution (with more than 3 targets)?

I want to plot a Dirichlet distribution $\operatorname{Dir}(\alpha), \alpha=[\alpha_1, \alpha_2, \ldots,\alpha_n]$. However, when I google it, almost all of the results consider 3 targets ($n=3$), and ...
0 votes
0 answers
28 views

Distribution of this degree distribution plot [duplicate]

I have plotted this distribution, representing the degree distribution of the amazon co-purchase network (2003) graph. Sadly, I do not know how to interpret this. Do you know which distribution this ...
3 votes
1 answer
198 views

What is this distribution?

This is a plot of temperature against wind speed using R's weather data (nycflights13 package). The question asks what is the distribution of temperature as a function of windspeed? Honestly, I don't ...
1 vote
1 answer
538 views

Counting and percentages in EDA, analysis in binary classification

Let's asume we have a dataframe with 100 clients, 70 males and 30 females, where 10% of them buys the product and 90% doesn't. Case 1: 7 males and 3 females buys the product = Same distributions If ...
3 votes
1 answer
41 views

Help on understanding these plots

I am very weak in the english language and I need to understand how I can describe my plots. It's the best way for me to learn, understand plots and memorize the phrases. So my first question is, ...
2 votes
0 answers
1k views

How should I label and interpret cumulative probability graphs

I've used R's empirical cumulative distribution function (ecdf) to generate a chart that shows the cumulative probability of some cost data. I want to know if the heading of the chart is correct or ...
0 votes
0 answers
26 views

How to best display the distribution of a large dataset with many outliers? [duplicate]

I have a very large data set (~300'000 data points) and a subset of it (6000 data points), which shows the difference of travel time [in seconds] of agents before and after a road closure. I want to ...
3 votes
1 answer
65 views

Repeated binomial experiment with different settings, how to plot chances based on these settings?

I'm using R and have a dataset which contains data for a certain experiment which is tested multiple times in environments with different P values. The success or failure of the experiment is denoted ...
1 vote
1 answer
423 views

How to graph distribution of Order statistics?

Is there a software that can graph the pdfs and Cds of an arbitrary number of order statistics or is there some code such software? How to do it? I'm trying to understand the distribution of order ...
5 votes
0 answers
349 views

Distinguish between distributions [closed]

I have the following data frame and want to know what distribution is consistent with it. ...