EDA stands for "Exploratory data analysis". Developed by Tukey to contrast with Confirmatory Data Analysis or CDA (the formal testing of hypotheses). EDA is typically concerned with describing data numerically and graphically to make the data easier to understand and to yield new insights.

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Classification eda

I am constructing a 2-class classifier and using cross validation to tune certain parameters in my model. The predictor variables are both continuous and one is ordinal. Based on looking at the ...
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Sort or cluster experimental 2D data crossplots with respect to common shape/model

I have a quantity of tabular data, let us say $E=200$ experiments, and $V=20$ variables (all positives). I am trying to find EDA-like dependencies or "correlations" between some of the variables, at ...
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9 views

Herfindahl–Hirschman index for data accumulation

I'm checking the data accumulation in segments with Herfindahl–Hirschman index, the idea is to get segments with low index. Do you think this is a good way to detect this accumulation? and do you see ...
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23 views

Statistical analysis for replication in very small experimental datasets

A colleague does replication on a quite coslty experiments. There are four different conditions, each one duplicated. The outcome with $4\times 2 = 8$ points is illustrated below: The analysis is ...
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31 views

The meaning of Classification Accuracy

I'm working on San Francisco Crime dataset, and only get about 20% classification accuracy. I used Random Forest Method. So how I can Interpret the result? I did EDA firstly, but how can I use EDA to ...
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Label reduction on dataset

This question related to this other one, for which I have devised a strategy and now want some feedback on it. My data consists of 434042 rows, each corresponding to an observation tagged with 1 of ...
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31 views

Which Method of Factor Extraction is Preferable With Communality Greater than 1.0?

I am trying to perform Exploratory Factor Analysis using SAS's proc factor with priors=smc, but am not sure which factor ...
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14 views

What kind of multivariate data is this judging from the QQ plot and Scatterplot Matrix?

This dataset is from R "cluster.datasets" package, named life.expectancy.1971. I would like to run Maximin Likelihood EFA(Exploratory Factor Analysis ) and therefore I checked the Multivariate ...
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31 views

Relationships of missing values for exploratory analysis

I have a survey with 30 questions on a seven item likert scale Not all of the questions were answered. I can use a heat map to visualize the missing answers but what i would like to know is if there ...
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28 views

What's the best strategy for testing 100+ Poisson distributions on seasonality and trend in Excel?

I have pooled data which can be divided into 4 categories, and those can be divided in 6-50 groups each. I tested the pooled data and the categories with time series plots. Now I'd like to test all of ...
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125 views

Any necessary EDA before logistic?

I wanted to know if we do EDA before logistic regression. Sure, I will look at the variables and their distributions, but is there anything specific to logistic?
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9 views

Finding feature values most specific for a subset

I have a set of items with lots of categorical features. I also have a small subset of this set. I want to find out what's different about this subset compared to general population (i.e. what feature ...
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107 views

How to assess seasonality effect influence on time series

Suppose I collected a time-series data (e.g. drug prescription on every month for 12 years). I have no reason to believe that my data is influenced by a seasonal factor (e.g. drug consumption is not ...
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188 views

Is it better to do exploratory data analysis on the training dataset only?

I'm doing exploratory data analysis (EDA) on a dataset. Then I will select some features to predict a dependent variable. The question is: Should I do the EDA on my training dataset only? Or ...
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29 views

Which method can I use to pinpoint features that separates a sub-group from a group

Let's say I have a group (G) of 1000 individuals. I have complete knowledge of 200 demographic properties of each of them, from categorical (favorite drink) to numerical (age). Let's say I invite ...
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2answers
100 views

Choosing predictors in regression analysis and multicollinearity

I would like to run a linear regression analysis and I'm uncertain about including predictors. I have three predictor variables available. One is based on a lot of previous research. Therefore I am ...
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Setting a Target or Benchmark based on Historic Process data

We have 15 Work processes for a departments. There is the historic data for the dept with all the information. Data defines the which process is done by whom, minutes of work, start date and finish ...
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32 views

Exploratory Data Analysis for financial data and validating the IID assumption

I am trying to model financial data and I need a little help. As I understand it, EDA is the first step, basically looking at the data. What tools (plots or tests) can be of help to me? Second, the ...
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Determining “n” in moving averages

I'm monitoring seven variables (flow into tank, flow out of tank, volume in tank, concentration of the flow in, concentration of the flow out, concentration in tank and weight inside tank). The weight ...
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331 views

Texas sharpshooter fallacy in exploratory data analysis

I was reading this article in Nature in which some fallacies are explained in the context of data analysis. I noticed that the Texas sharpshooter fallacy was particularly difficult to avoid: A ...
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23 views

Analysis of charts

Let $X$ a variable that represents the performance of a student in high school and a variable $Y$ representing the performance of this same student at the university. Consider the regression model ...
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Best Method for Finding Cause of Change Between two Datasets

There are two data sets with exactly the same fields, taken from two different years. Two of the fields are numerical, thought of as numerator and denominator. All the remaining fields are ...
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63 views

Suggestions for Exploratory Data Analysis for high-dimensional regression data?

I have a moderately high-dim dataset (around 20 predictors) that I plan to analyse using Bayesian variable selection techniques. This will be a logistic regression analysis since the output is a ...
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Can factor analysis identify factor structure if only 5-15% of my sample give positive responses?

Looking to do EFA and CFA with different versions of the same data; 3 to 4 thousand participants, 50 symptoms with a 4-point Likert scale. I would expect most of the participants to endorse 5-10 out ...
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65 views

How to approach a regression problem? [closed]

I have to solve a regression problem involving 302 variables. How do we select appropriate models or ensemble of models to work well ? Does this decision of choosing models come from the ideas ...
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42 views

Rule of thumb for exploratory data

I frequently perform 2k factorial design of experiments and fit the data to a linear regression to control/optimize processes in a manufacturing environment. I have noticed recently that a large ...
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211 views

Python/R Exploratory Data Analysis for Classification [closed]

Are there preexisting functions in Python/R that create exploratory data analysis plots like the following:
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Conceptual question: how is a factor created in exploratory factor analysis?

As a conceptual question: in exploratory factor analysis, how is a factor created? I would like to know your simple answer to this simple question. Imagine, my academic field does not dependent on ...
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What is the “horseshoe effect” and/or the “arch effect” in PCA / correspondence analysis?

There are many techniques in ecological statistics for exploratory data analysis of multidimensional data. These are called 'ordination' techniques. Many are the same or closely related to common ...
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56 views

Introduction to Explorative Sequential Data Analysis

Short version I am looking for introductory material to explorative data analysis of complex sequential data like website activity, hospital visits etc. Long version Currently I am facing data ...
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89 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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2k views

How to interpret notched box plots

While doing some EDA I decided to use a box plot to illustrate the difference between two levels of a factor. The way ggplot rendered the box plot was satisfactory, but slightly simplistic (first ...
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599 views

Exploratory data analysis for a dataset with continuous and categorical variables

I have a data set which has DV and around 40 IVs. I want to select best variables out of the existing ones. I can use correlation, but it requires only numeric variables. I would like to see relation ...
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379 views

Is it appropriate to do an ANOVA on a feature selected via inspecting PCA results?

I've been given a dataset consisting of 8 dimensional feature vectors for 4 classes of objects. I was asked to find the features that best distinguish the classes, and write up a short report. My ...
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71 views

(LDA) Topic Modeling: eliminate Junktopics through normalization

Question: Is it reasonable to normalize topics to eliminate junk-topics and get a better distinction of document-relations? I used the MALLET-LDA Java-library to estimate a ParallelTopicModel with ...
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Topic Model inference for subselection [closed]

Question: Does the inference of a trained topic model (LDA) used on a subselection of a text corpus result in more accurate document-document-relations? I used the MALLET-LDA Java-library to estimate ...
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What is the discrete equivalent to the 4-plot?

Quoting NIST, when analyzing a continuous variable, one needs to validate four assumptions that typically underlie all measurement processes; namely, that the data at hand "behave like": random ...
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Reduction of species variables in vegetative analysis

Edited following helpful feedback. I have vegetation species data for a number of grassland habitat sites, and am preparing to begin Exploratory Data Analysis. Data was collected in 100 quadrats over ...
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95 views

What statistical technique could I use to see if gender effect exists in this scenario?

Suppose I give 6 short stories (of word length varying from 200 to 400),and ask N=100 students about which one (e.g., story #1, #2,..., #6) is their favorite story (see below table). Some data are ...
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If my histogram shows a bell-shaped curve, can I say my data is normally distributed?

I created a histogram for Respondent Age and managed to get a very nice bell-shaped curve, from which I concluded that the distribution is normal. Then I ran the normality test in SPSS, with n = 169. ...
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69 views

Quantitative Location Shifting Detection for Run-Sequence Plot

I am trying to complement a Run-Sequence Plot by some quantitative metric to validate that a dataset has a fixed location. Since the Run-Sequence Plot will be used in the early phases of Exploratory ...
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348 views

Minimum cumulative variance to extract in exploratory factor analysis to ensure a good fit

As a part of my exploratory factor analysis, I would like to report the cumulative variance % (eigenvalues). I wonder if there are guidelines on the minimum percentage in order to have a good model ...
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Is there any rule of thumb to delete a variable in a large data set?

I'm working with a large set as a project for the business analytic course with $10^5$ observations and 170+ variables, some of which come with a missing value proportion of larger than 20%, even more ...
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455 views

Quick Exploratory Analysis of Categorical Data

Does anyone know of a tool (preferably free) that does quick analysis of exploratory data mainly categorical with date. Using R and Python I can create time series and histograms, perform tests such ...
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Is there any good reason to use PCA instead of EFA?

In some disciplines, PCA (principal component analysis) is systematically used without any justification, and PCA and EFA (exploratory factor analysis) are considered as synonyms. I therefore ...
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2answers
184 views

Which is correct way for regression line?

I have a set of data (some Frequencies per month, Var1 is the month): ...
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1k views

How to do exploratory data analysis to choose appropriate machine learning algorithm

We are studying machine learning via Machine Learning: A Probabilistic Perspective (Kevin Murphy). While the text explains the theoretical foundation of each algorithm, it rarely says in which case ...
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207 views

How to determine moving window size?

I am using moving window technique for data analysis... For example I compute the mean, the standard deviation and etc. for a given window. And I wonder if there's any good criterion to determine ...
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3k views

What are some good examples of exploratory data analysis today?

Are there some papers published which illustrate EDA used to tackle substantial data problems? I am particularly looking for actual (current) data examples, where plots have been made and statistics ...
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Can factor analysis improve the fit of a predictive regression model?

My company is working with a client who have built a logistic regression model to predict whether kids with psychiatric disorders will successfully complete a State intervention program (Yes or No). ...