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What Can We Learn From Studio Studies Ethnographies?: A “Messy” Account of Game Development Materiality, Learning, and Expertise

Games Cult., 2018
This article illustrates a gap between popular narratives of game development in design texts and the reality of day-to-day development, drawing from an ethnographic account of intern developers to highlight the potential contributions of studio studies ...
Jennifer R. Whitson
semanticscholar   +1 more source

Gráficos con R-Studio para estadística descriptiva en ingeniería

2022
La estadística descriptiva proporciona herramientas que tienen por objeto resumir, representar e interpretar información contenida en un conjunto de datos; entre ellas se encuentran los gráficos estadísticos. En ingeniería resulta importante desarrollar competencias para el diseño y la creación de gráficos, principalmente por la necesidad de comunicar ...
Manuel Arturo Nova Martínez   +1 more
openaire   +1 more source

Implementing of Decision Tree Algorithm using R-Studio and Java

2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), 2018
Decision tree algorithm is most popular for classification in machine learning and uses discrete data for classification. Information gain or Gini index is used for the entropy calculation in order to classify the given data. Decision tree can be implemented in several programming languages and many data mining tools uses this algorithm.
Madhavi Katamaneni   +2 more
openaire   +1 more source

Adecuación de modelos de regresión lineal simple en R-Studio

2023
Los modelos de regresión lineal son una herramienta frecuentemente utilizada para realizar predicciones del comportamiento de una variable cuantitativa. En esta guía se presentan los temas teóricos elementales para la adecuación de modelos de regresión lineal simple, y su implementación en el software R. Esta metodología es empleada en diversos campos,
Manuel Arturo Nova Martínez   +2 more
openaire   +1 more source

Recruitment Data Analysis Using Machine Learning in R Studio

2019
Job classification is a system used to divide all jobs within a company and put them on a different regulated scale based on the overall work, salary level, skills, and commitment associated with a clear cut job. This likewise encourages organizations to look at similar jobs in various organizations inside their industry.
R. Devakunchari   +3 more
openaire   +1 more source

IBM ILOG CPLEX Optimization Studio

, 2020
S. Nickel   +4 more
semanticscholar   +1 more source

Karakteristik butir soal tes numerasi materi rasio dan perbandingan dengan menggunakan teori tes klasik dan teori tes modern

Jurnal kajian pembelajaran matematika
Pengukuran yang ada pada penelitian ini perlu dilakukan untuk mengetahui kemampuan siswa agar semua pihak, seperti guru, kepala sekolah, dan pemerintah, dapat memberikan perlakuan yang tepat demi terlaksananya gerakan literasi yang efektif dan efisien ...
Achmad Ghozi Khoiruddin   +3 more
semanticscholar   +1 more source

Bibliometric Analysis of Islamic Education and Character Development in Religious Education Practices in Indonesia

Pakistan journal of life and social sciences
Within the Indonesian religious education practices framework, this study offers a thorough bibliometric analysis of research on Islamic education and character development.
A. An, Mahmudulhassan, Muthoifin, Waston
semanticscholar   +1 more source

Webinar: Data Visualization with R Studio

As part of the Horizon Europe Project Infra4NextGen, AUSSDA – The Austrian Social Science Data Archive hosted a webinar on Data Vizualisation in R and Jupyter for social science researchers, MA and PhD students. In the first part of the webinar, participants learn the basics of visualizations, understand the criteria for good science graphics, get to ...
openaire   +1 more source

The R Prompt and the R Studio Windows

2019
This chapter covers the R prompt and the R Studio windows. It starts with descriptions of the three parts of R: objects, operators, and assignments. It continues with a discussion of working with the R prompt, followed by an example of doing a calculation at the R prompt. Afterward, it describes the four R Studio windows.
openaire   +1 more source

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