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Student T-tests

The Student's t-test group is used to compare two groups of results, measured by the arithmetic mean, against each other.

From variance to the method of least squares

The mean is one of the most popular and widely used statistical measures. By itself, it is not an exhaustive indicator and only allows for the determination of the central tendency of the variable under analysis.

The power of a test

The power of a test is the probability of detecting a statistically significant effect when one actually occurs in the population under study.

Customer Satisfaction Index (CSI)

The Customer Satisfaction Index (CSI), or Consumer Satisfaction Index, is a method used in marketing to assess customer satisfaction with the products or services provided by a company.

Customer Effort Score (CES)

The Customer Effort Score (CES) is, along with the Net Promoter Score (NPS) and Customer Satisfaction (CSAT), one of the main indicators related to customer satisfaction.

Factor analysis

The aim of factor analysis is to explain as much of the variability as possible with as few variables as possible.

Net Promoter Score (NPS)

Customer satisfaction and loyalty surveys are now an integral part of a business focused on growth and building competitive advantage. The NPS index, which is an acronym for Net Promoter Score, is now the standard in this area.

Column chart, bar chart and histogram

Column and bar charts have long been some of the most popular ways of visualising data. Before deciding to use any of them, it is worth taking a closer look at them.

Scatter plot

A scatterplot (also otherwise known as a dot plot or scatterplot) is a graph with two perpendicular axes on which two variables are presented.

Building scoring processes in the api era: when, how much and what flexibility do we need?

SOAP and REST communication tools in PS CLEMENTINE PRO 3.0

Designing a questionnaire: how to convert the content of a survey into digital form

When two dimensions are not enough: the multidimensional scatterplot in ps imago pro

A scatterplot, or scatter graph, is a popular diagnostic tool for associations between quantitative variables. It is invaluable in correlation analysis for readily assessing the nature and the shape of the relationship between two variables.

Consumer shopping value analysis using regression trees. Part 2

Regression trees are a very interesting data analysis technique commonly used in tasks related to poststratification, forecasting, and segmentation.

Multidimensional scaling in brand positioning

Positioning a product in the context of the competition, or the identification of a product’s features and attributes are often key issues facing marketing, promotion, and product managers.

Automatic linear modeling: ensemble models

Today, we will look into ensemble model methods.

Car value: variable selection for linear modelling

The Automatic linear modeling procedure is intended to streamline the work of analysts who use regression models.

Data sourcing: pros and cons of desk research

What is data? What is data needed for? Can data be divided according to specific criteria ? Does data only come from surveys?

Consumer shopping value analysis using regression trees. Part 1

How can we estimate the potential value of consumer shopping, predict the behavior of a visitor to our website, or reduce the risk of credit losses?

Basics of a questionnaire survey with PS QUAESTIO PRO

The goal of computer software is to support the user at work. The PS QUAESTIO PRO platform is no different.

Shopping for a mountain trip: analysis of multiple response sets

Multiple response sets often form the basis for further detailed questions about opinions on selected products.

SNA or network as an analytical object

Today, we will look into Social Network Analysis (SNA), or Social Relation Analysis.

When is a value ‘good’ or ‘bad’? About thresholds and alerts in dashboards

The dashboard is a form of reporting, which allows the analyst to convey information in a concise way.

Tables for multiple questions measured using the same scale

Surveys often use questions where respondents assess different elements on the same scale.

Sankey diagram

When analysing data on migration, transport, international trade, or traffic on a website, you are often faced with the problem of visualising the flow between the analysed units.

Word cloud: an extraordinary visualisation from an ordinary table

Frequency, group structure, or percentage share analysis is one of the first tasks of an analyst.

Hierarchical graph

Hierarchical data can be presented using various visualisations. Today’s article will focus on the hierarchical graph.

Correspondence analysis: calculating distances in a table

Correspondence analysis is one of the most convenient and popular exploratory techniques in data analysis.

Caring for the brand: repositioning, campaign optimization and new product recommendations

50 years of SPSS – statistical data analysis software

It all began in 1968, when Norman H. Nie, C. Hadlai (Tex) Hull and Dale H. Bent decided to develop software based on the idea of using statistics to transform raw data into information necessary for decision-making. At that time, not even wealthy Stanford University housing those young science enth…

Pointing the way with arrows

When creating dashboards, reports, or infographics, you often use other elements besides charts and tables. Individual numerical values are often presented as text (with a suitable style that attracts the readers attention and matches the whole report visually), sometimes with meaningful icons. Suc…

Visualising decision trees: the classic refurbished

In this post, we continue to discuss the visualisation of nested hierarchical data. In my previous blog, I showed how hierarchical data can be presented in a two-dimensional space as a treemap. This approach, however, has some limitations, namely the number of nesting levels. The treemap can handle…

Maps that grow out of trees: data visualisation as an artform

In the previous PS blog “Trees that grow out of tables”, Janusz Wachnicki described how a good understanding of the humble crosstab can help us utilise classification trees more effectively. When it comes to visualisation, can classification results be presented any other way than in a tree? The an…

Series plot

The series plot is a type o linear or layered plot most often used to represent changes in time. The plot may represent size for a primary variable category or statistics for a selected quantitative variable. Individual points of the plot representing data are connected with a line from the first v…

Building charts with bricks

Data visualisation helps present in an attractive way information that could be difficult to interpret in the form of a table. Undoubtedly, for many managers, the phrase ‘time is money’ is a life motto, not a cliché. They receive a lot of information in tables but often need to quickly verify the p…

Table or cube? Reporting in the form of olap cubes

When we want to include a lot of values in a table, in several various cross-sections e.g. by time, region, type of phenomenon, we have several approaches to choose from.