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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 ...
Imsa's user avatar
  • 43
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 ...
Rahul Yadav's user avatar
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 ...
WBM's user avatar
  • 121
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 ...
BLey99's user avatar
  • 21
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 ...
irahorecka's user avatar
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 ...
letdatado's user avatar
  • 367
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 ...
BSD's user avatar
  • 235
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 ...
user45765's user avatar
  • 1,465
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, ...
mOna's user avatar
  • 103
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&...
Chia's user avatar
  • 43
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 ...
Saswat's user avatar
  • 1
0 votes
1 answer
496 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 ...
ceno980's user avatar
  • 233
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 ...
DRG's user avatar
  • 323
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 ...
learner's user avatar
  • 13
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 ...
fool's user avatar
  • 2,540
3 votes
1 answer
3k views

What do ggplot's stat_summary errorbars mean?

Say we have the following data: ...
elidomx's user avatar
  • 33
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 ...
user avatar
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 ...
010170182240tomu's user avatar
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 ...
Welsy's user avatar
  • 3
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 ...
stats_noob's user avatar
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 ...
Sam H's user avatar
  • 11
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 ...
Placido Pellegriti's user avatar
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 ...
Guanjie Huang's user avatar
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 ...
Chris's user avatar
  • 535
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, ...
Rocca's user avatar
  • 33
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 ...
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 ...
Angus's user avatar
  • 239
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 ...
Yves's user avatar
  • 113
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 ...
user avatar
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 ...
Astarno's user avatar
  • 405
0 votes
0 answers
34 views

Presenting the convergence of a set of distributions to a particular distribution graphically

This is not directly related to doing statistics, but rather presenting statistical data. I have a set of values $$\{x_i\},{i\in I_t},$$ for each $t\in [0,1]$. Every set of values $\{x_i\}$ for a ...
Our's user avatar
  • 237
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 ...
Dom Jo's user avatar
  • 215
0 votes
1 answer
145 views

the metrics that can be used to characterize and further compare different histogram [closed]

There is a set of different data set, each of which corresponds to a histogram. Are there any metrics that can be used to characterize the shape of each histogram, and further compare different ...
user3269's user avatar
  • 5,282
3 votes
1 answer
53 views

Strobiloid representation

I am working with household income and I would like to replicate the following strobiloids generated by Chauvel (2013): For what I understand here and from his explanation of the graph, he plots the ...
Luca Giangregorio's user avatar
1 vote
1 answer
300 views

How to best analyse distribution of distributions [closed]

How can one go by analyzing a distribution of distributions ? An example of such a dataset is as given in this question : What does "a distribution over distributions" mean? Suppose ...
bd3lk's user avatar
  • 23
2 votes
1 answer
59 views

Spindle-shaped distribution like a sea seal?

What probability distribution’s diagram is similar to the body shape of a Caspian Sea Seal? I mean a distribution which is rounded in the middle, and tapered at the both ends. Different distribution ...
Caspian Sea Seal's user avatar
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. ...
Veliko's user avatar
  • 177
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 ...
Hans-Peter Stricker's user avatar
2 votes
1 answer
38 views

What interesting data manipulations can be done over 70x5 data points in a school context?

TL;DR: I am looking for ideas for a school assignment in basic statistics. Context: My son (14 years old, French class 3ème, equivalent to 9th grade) got a group assignment in Mathematics. They ...
WoJ's user avatar
  • 281
9 votes
2 answers
6k views

What would be the output distribution of ReLu activation?

Suppose my data has a normal distribution and I am using an NN as a model, wherein I am applying ReLu, non-linearity to it. I am curious to know how the output distribution of the ReLu looks like? ...
Anu's user avatar
  • 673
1 vote
2 answers
2k views

Why use histogram to illustrated probability distribution

Forgive me I am a newbie of random variables. I saw a lot of course which introduce the Discrete Random Variables which always be illustrated with a histogram or ...
Joe.wang's user avatar
  • 111
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, ...
John Fisher's user avatar
1 vote
0 answers
18 views

Can I use this distribution to model my data according to these plots?

I used the Anderson-Darling and the KS tests to decide whether my data and the distribution fitted on my data has the same distribution. Both tests rejects the null hypothesis. However when I look at ...
user220854's user avatar
1 vote
1 answer
86 views

Characterize distribution of the output of probabilistic model

Dataset: each row is a patient. Categorical covariates $x$ (often with many categories) include patient information, one binary outcome variable indicating survival. Background: I fitted a ...
Gino_JrDataScientist's user avatar
1 vote
1 answer
272 views

Naming Convention for distribution plots

I have come across a picture of a density plot that I understand visually and conceptually but I am confused by the terminology. It is referred to as simply a "Density Plot". Have a look: Question: ...
Arash Howaida's user avatar
2 votes
0 answers
72 views

binomial distribution "flower", ratios vs direct

I am working with a set of data that is very similar to the binomial distribution. It is closely simulated by a random binomial variable. In the real data, there is reason to believe there are ...
Chris's user avatar
  • 1,259
0 votes
2 answers
678 views

How to compare the distributions of variables within clusters?

I used K-means to cluster 15k data points composed of 5 quantitative features scaled between 0 and 1. I would like to compare the distributions of the features within each cluster, and also compare ...
Karl Alexius's user avatar
1 vote
1 answer
96 views

Gamma distribution with error bands - correct?

I currently fitted a gamma distribution onto empirical degree centrality data. I have calculated the standard errors using Fisher information. As I am just an economist, I am not entirely sure about ...
Alexander Hempfing's user avatar
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 ...
mrjaws's user avatar
  • 317
1 vote
0 answers
2k views

density plot of data from uniform distribution looking like normal distribution

I have generated random data from uniform distribution, runif(25, -1, 1) I am trying to plot the density , so I used the plot function, ...
Science11's user avatar
  • 577