summerschool_q_d2

What can you use the software "Orange Data Mining" for?

• Data visualization, machine learning, and data analysis
• Project management, accounting, and customer service
• Social media management, email marketing, and content creation
• Web development, graphic design, and video editing

Which of the following examples is categorical data?

• Colors
• Height

• Diameter

• Length

Which of the following data is represented by the nominal scale?

• Height
• Eye color
• Temperature
• Shoe size

Which of the following aspects is no characteristic of data quality?

• Conformity

• Integrity

• Consensus

• Dimensionality

What is the modus of a dataset?

• The modus of a dataset is the average value
• The modus of a dataset is the maximum value
• The modus of a dataset is the minimum value
• The modus of a dataset is the value that appears most frequently.

What is the median of a dataset?

• The median is the sum of all values divided by the number of values in the dataset.
• The median of a dataset is the middle value when the data is arranged in ascending order.
• The median is always the highest value in the dataset.
• The median is the value that occurs most frequently in the dataset.

What is the first quartile of a dataset?

• The first quartile is the median of the dataset.
• The first quartile is the 75th percentile.
• The first quartile is the mode of the dataset.
• The first quartile of a dataset is the 25th percentile.

Why do you need to clean your dataset before you start the analysis?

• To prevent the analytic modules getting dirty

• To ensure data quality, remove errors, inconsistencies, and missing values.
• To confuse the analysis results
• To introduce more errors and inconsistencies

What influence has the number of classes in a histogram?

• Increasing the number of classes in a histogram decreases the level of detail
• The number of classes in a histogram influences the level of detail and granularity in the data representation.
• The number of classes in a histogram has no impact on the data representation
• The higher the number of classes the more professional the graph

What to do with outliners in the dataset?

• Ignore

• Try to find the root cause of the outliner

• Erase directly

• Multiply by ten