Data Prep Essentials Quiz

Test

Jugadas 1

Crear copia

Sobre esta actividad

Key concepts in educational data prep

Creada por

Didito Huera

Tailandia

Descarga la versión para jugar en papel

Top 10 resultados

#	Jugador	Acierto	tiempo
1	Anónimo 24 de Agosto de 2026	% 80	01:15

¿Quieres aparecer en el Top 10 de este juego? Inicia sesión para identificarte.

Crea tu propio juego gratis desde nuestro creador de juegos

Compite contra tus amigos para ver quien consigue la mejor puntuación en esta actividad

Crear reto

Brawl stars preguntas

Carlos Andrés Prieto Rodríguez

Colombia

(164)

Completa todas las preguntas
Cultura general española

Ernest Serret

España

(100)

Responde las siguientes preguntas
Tipos de sintagmas (II)

idoia rubio

España

(945)

Actividades interactivas para reconocer los distintos tipos de sintagmas
cuanto sabes de Futbol

hugo estay

Chile

(316)

este test esta basado en las diapositivas que pudimos ver con anterioridad, consta de 10 preguntas las cuales tienen alternativas para poder resolverlas.
Verbos irregulares en Inglés

Hélmer González Serrano

Colombia

(309)

Se presentan 10 preguntas, cada una con 4 opciones de respuesta. Seleccione la que considere correcta.


Data Prep Essentials QuizVersión en línea Key concepts in educational data prep por Didito Huera 1 What is the primary purpose of data preparation in education? a To store data without standardization b To publish findings without review c To gather, clean, structure, and transform raw data for reliable analysis d To delete any missing values to simplify analysis 2 Which step makes responses analyzable by converting text into numbers or categories? a Data Cleaning b Data Management c Data Coding d Data Collection Audit 3 What does data cleaning primarily aim to improve in a dataset? a Increasing outliers for robustness b expanding the dataset size c Adding new survey questions d Detecting and fixing errors, inconsistencies, and missing values 4 Which process ensures data is protected, documented, and stored for later analysis? a Data Management b Data Visualization c Data Entry d Data Collection 5 In the example coding scheme, what does a Data Status value of 1 typically indicate? a Verified and cleaned b Complete (Ready for Analysis) c Missing data d Incomplete (Filtered Out) Feedback 1 Data preparation organizes raw information into a standardized format for software to analyze accurately. 2 Data coding transforms qualitative data into standardized codes so software can compute statistics. 3 Data cleaning detects issues like impossible scores or missing fields and corrects them. 4 Data management covers secure storage, backups, and documentation of data throughout its lifecycle. 5 A status flag like 1 for Incomplete helps filter out problematic rows before analysis.

Data Prep Essentials QuizVersión en línea

Key concepts in educational data prep

por Didito Huera

What is the primary purpose of data preparation in education?

To store data without standardization

To publish findings without review

To gather, clean, structure, and transform raw data for reliable analysis

To delete any missing values to simplify analysis

Which step makes responses analyzable by converting text into numbers or categories?

Data Cleaning

Data Management

Data Coding

Data Collection Audit

What does data cleaning primarily aim to improve in a dataset?

Increasing outliers for robustness

expanding the dataset size

Adding new survey questions

Detecting and fixing errors, inconsistencies, and missing values

Which process ensures data is protected, documented, and stored for later analysis?

Data Management

Data Visualization

Data Entry

Data Collection

In the example coding scheme, what does a Data Status value of 1 typically indicate?

Verified and cleaned

Complete (Ready for Analysis)

Missing data

Incomplete (Filtered Out)

Feedback

Data preparation organizes raw information into a standardized format for software to analyze accurately.

Data coding transforms qualitative data into standardized codes so software can compute statistics.

Data cleaning detects issues like impossible scores or missing fields and corrects them.

Data management covers secure storage, backups, and documentation of data throughout its lifecycle.

A status flag like 1 for Incomplete helps filter out problematic rows before analysis.

Puedes integrar el juego en un LMS compatible con LTI 1.1 o LTI 1.3 como Canvas, Moodle, o Blackboard. De esta manera podrás guardar las puntuaciones automáticamente en el libro de calificaciones de esa plataforma.

Data Prep Essentials Quiz

Test

Sobre esta actividad

Creada por

Descarga la versión para jugar en papel

Top juegos

Test

Brawl stars preguntas

Test

Cultura general española

Test

Tipos de sintagmas (II)

Test

cuanto sabes de Futbol

Test

Verbos irregulares en Inglés

Data Prep Essentials QuizVersión en línea

por Didito Huera

What is the primary purpose of data preparation in education?

Which step makes responses analyzable by converting text into numbers or categories?

What does data cleaning primarily aim to improve in a dataset?

Which process ensures data is protected, documented, and stored for later analysis?

In the example coding scheme, what does a Data Status value of 1 typically indicate?

Feedback