The objective of this analysis is to examine the profile and performance of candidates enrolled in ASE master’s programs, highlighting patterns in academic results, differences by admission status and study form, as well as the factors influencing admission outcomes.

The analysis examines candidate performance across ASE faculties, comparing registrations, admissions to tuition-free and tuition-fee places, and rejections. It aims to highlight competitive faculties with high, homogeneous results versus those with more varied performance and less selective admissions.

The objective of this analysis is to examine the profiles of rejected and absent candidates, focusing on their bachelor’s exam grades and admission test scores, in order to understand the factors influencing rejection or non-participation and to assess the competitiveness and selection mechanisms within each faculty.

The analysis compares candidates admitted to tuition-free and tuition-paying places in ASE master’s programs, highlighting differences in performance and score distributions. It aims to identify patterns of competitiveness, variability, and stratification among candidates across faculties, reflecting both academic excellence and demand for specific programs.

This study examines the admission outcomes of candidates applying to ASE master’s programs across 12 faculties

The purpose of this analysis is to examine candidates’ academic performance in order to identify patterns, compare results across faculties, and highlight the factors that could influence competitiveness in ASE master’s programs.

An analysis of candidates’ admission results in ASE master’s programs

In this article, our proposal is to analyze the candidates’ admission results in ASE master’s programs across 12 specializations.

The aim is to analyze the candidates’ admission results in ASE master’s programs across 12 specializations

An analysis of admission results in ASE master's programs

In this article, our aim is to analyze the sampling distribution of the proportion, mean, and variance for five stores engaged in a certain activity, based on their monthly turnover.

The uniform distribution is useful in random number generation. The generated values can be used, for example, to randomly assign individuals to treatment groups in experimental studies or to select participants for surveys. Also we can use the uniform distribution in domain like gaming industry or traffic engineering.

Regiunile istorice ale Romaniei in R

Reprezentarea grafica a macroregiunilor Romaniei in R

Reprezentarea unitatilor administrativ teritoriale (judetelor) in R

This research aims to identify the shape of the relationship between pH and volatile_acidity variables and estimate the regression model. The analyzed dataset is wine quality.

Obiectivul lucrarii este de a identifica si estima forma legaturii dintre variabilele pH si alcool. Setul de date utilizat este wine quality.

prelucrarea statistica a datelor text - EDA

In this study, we will implement methods such as Natural Language Processing (NLP) to perform text analytics and visualization. Most of the time, the data is available in an unstructured format, and to derive insights from it, preprocessing is required. We will use NLP algorithms to read the text and extract meaningful information. Specifically, this study analyzes seven poems and generates graphical visualizations, including word distributions, word clouds, and more, using various R libraries.