1. What is Orange primarily used for in data mining?
a) Image processing
b) Video editing
c) Data visualization, analysis, and machine learning
d) Database management
Answer: c) Data visualization, analysis, and machine learning
2. What type of interface does Orange provide for building data workflows?
a) Command-line interface
b) Text-based interface
c) Graphical user interface (GUI) with drag-and-drop features
d) Code editor interface
Answer: c) Graphical user interface (GUI) with drag-and-drop features
3. In Orange, what is a “Widget”?
a) A programming function
b) A graphical representation of a step in a workflow
c) A data storage unit
d) A visualization tool
Answer: b) A graphical representation of a step in a workflow
4. Which of the following file formats can be imported into Orange for analysis?
a) .csv
b) .xlsx
c) .txt
d) All of the above
Answer: d) All of the above
5. What is the purpose of the “File” widget in Orange?
a) To preprocess the data
b) To load data from external sources
c) To visualize the data
d) To perform clustering
Answer: b) To load data from external sources
6. Which Orange widget is used for data visualization?
a) Data Table
b) Scatter Plot
c) Decision Tree
d) K-Means
Answer: b) Scatter Plot
7. How can you share a workflow created in Orange?
a) Exporting it as an .ows file
b) Taking a screenshot of the workflow
c) Printing the workflow diagram
d) Writing down the steps manually
Answer: a) Exporting it as an .ows file
8. Which of the following is a feature of Orange?
a) Text mining
b) Image analysis
c) Network analysis
d) All of the above
Answer: d) All of the above
9. What is the purpose of the “Select Columns” widget in Orange?
a) To visualize data
b) To select and filter the columns of a dataset
c) To classify data into categories
d) To apply machine learning algorithms
Answer: b) To select and filter the columns of a dataset
10. Which machine learning algorithms are available in Orange?
a) Decision Trees
b) Support Vector Machines (SVM)
c) Neural Networks
d) All of the above
Answer: d) All of the above
11. In Orange, what does the “Classification Tree” widget do?
a) Preprocess data
b) Visualize data
c) Build and visualize decision trees for classification
d) Cluster data
Answer: c) Build and visualize decision trees for classification
12. How can you handle missing values in a dataset in Orange?
a) Using the “Impute” widget
b) Using the “Decision Tree” widget
c) Using the “K-Means” widget
d) Using the “SVM” widget
Answer: a) Using the “Impute” widget
13. What is a common application of Orange in business?
a) Web design
b) Market basket analysis
c) Video production
d) Graphic design
Answer: b) Market basket analysis
14. In Orange, what is the “Pivot Table” widget used for?
a) To visualize the relationship between two variables
b) To summarize data in a tabular form
c) To apply machine learning algorithms
d) To preprocess data
Answer: b) To summarize data in a tabular form
15. Which Orange widget allows for model evaluation and validation?
a) Test & Score
b) Scatter Plot
c) File
d) K-Means
Answer: a) Test & Score
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