We will cover how to find patterns of events. We will find events that occur systematically together and in the same order, relationships with customers’ characteristics and association rules between...continue reading.
This is the second part of the in-depth sequence analysis and we will use clusterization for simplifying a large number of distinct sequences in a few types of trajectoriesThis is...continue reading.
Although the sankey diagram from the previous post provided us with a very descriptive tool, we can consider it a rather exploratory analisys.Although the sankey diagram from the previous post...continue reading.
I just published a new interactive visualization in my series of basic statistical concepts and techniques. This time I have tried to explain confidence intervals for means. This visualization shows...continue reading.
We will study how to apply a Sankey diagram visualization when doing a sequential analysis of shopping carts that can bring you a helpful knowledge of patterns of customer’s behaviorWe...continue reading.
We will review a very interesting type of visualization – the Multi-layer Pie Chart – and use it for one of the marketing analytics tasks – the shopping carts analysis This...continue reading.
Getting emotional in the absence of something: Using the Berlin Affective Word List to analyze emotional valence and arousal for nouns and adjectives.
This is something I did a while ago using the Berlin Affective Word List (BAWL).The BAWL contains ratings for 2902 German words (2107 nouns, 504 verbs, 291 adjectives). Ratings were...continue reading.
Here is a new visualization done in d3js. In this visualization I show a scatter plot of two variables with a given correlation. The variables are samples from the standard...continue reading.
We will continue to exploit a great idea of ‘layer-cake’ graph for Cohort analysis Continue to exploit a great idea of ‘layer-cake’ graph. If you liked the approach I shared in the previous topic,...continue reading.
Here is a new visualization created in the same manner as my Cohen’s d vizualisation. This new visualization is an interactive display of classical null hypothesis significance testing and statistical...continue reading.
I have created a new visualization in D3. The purpose is to aid in the interpretation of Cohen’s d. The visualization presents Cohen’s d in the following ways: Visually, Cohen’s...continue reading.
As if the R world needed another example of Twitter visualizations, right? Well, here we go anyway.At the beginning of 2013, Pablo Barberá released the first version of his R...continue reading.
Histograms and bar charts are almost always a part of data analysis presentation. If it is made with R ggplot package functions geom_histogram() or geom_bar() then bar chart may look like...continue reading.
When building visualizations with ggplot2 in R I decided to create specialized functions that encapsulate plotting logic for some of my creations. In this case instead of commonly used aes function...continue reading.
A common way of illustrating the idea behind statistical power in null hypothesis significance testing, is by plotting the sampling distributions of the null hypothesis (\( H_0 $) and the...continue reading.