2.08 Data Manipulation Techniques Part 2

What is the primary purpose of data manipulation methods?

• To create new data

• To organise and transform existing data

• To delete unnecessary data

• To visualise data

Answer explanation

The primary purpose of data manipulation methods is to organise and transform existing data, making it easier to analyze and utilize. This choice encompasses the core functions of data manipulation.

Which of the following is a common data manipulation method used in spreadsheets?

• Filtering

• Painting

• Animating

• Encrypting

Answer explanation

Filtering is a common data manipulation method in spreadsheets that allows users to display only the rows that meet certain criteria, making it easier to analyze specific data sets.

In data manipulation, what does the term "sorting" refer to?

• Arranging data in a specific order

• Removing duplicate data

• Calculating averages

• Creating graphs

Answer explanation

In data manipulation, "sorting" specifically refers to arranging data in a specific order, such as ascending or descending. This is essential for organizing data for analysis, making it easier to interpret and utilize.

Which of the following is a method to combine data from two different sources?

• Splitting

• Merging

• Filtering

• Encrypting

Answer explanation

Merging is the correct method to combine data from two different sources, as it involves integrating datasets into a single cohesive unit. The other options, such as splitting, filtering, and encrypting, do not serve this purpose.

What is the result of applying a "filter" to a dataset?

• The dataset is deleted

• Only specific data is displayed

• The dataset is duplicated

• The dataset is encrypted

Answer explanation

Applying a filter to a dataset allows you to display only specific data that meets certain criteria, rather than altering or deleting the dataset itself.

Which of the following is NOT a data manipulation method?

• Sorting

• Filtering

• Painting

• Aggregating

Answer explanation

Painting is not a data manipulation method; it refers to a visual representation technique. In contrast, sorting, filtering, and aggregating are all methods used to manipulate and analyze data.

What does "aggregating" data involve?

• Breaking data into smaller parts

• Summarising data into a single value

• Encrypting data for security

• Visualising data in charts

Answer explanation

Aggregating data means summarising it into a single value, such as calculating averages or totals. This process helps in understanding large datasets by providing concise insights, making 'Summarising data into a single value' the correct choice.

Which of the following tools is commonly used for data manipulation in programming?

• Microsoft Word

• Python

• Adobe Photoshop

• Google Chrome

Answer explanation

Python is a versatile programming language widely used for data manipulation due to its powerful libraries like Pandas and NumPy. The other options, such as Microsoft Word and Adobe Photoshop, are not designed for data manipulation.

In data manipulation, what is the purpose of "normalisation"?

• To encrypt data

• To standardise data to a common scale

• To delete unnecessary data

• To create new data

Answer explanation

Normalisation is used to standardise data to a common scale, which helps in comparing and analyzing data effectively. This process ensures that different data types can be evaluated on the same basis.

Which of the following is a benefit of using data manipulation methods?

• Increased data redundancy

• Improved data accuracy and efficiency

• Decreased data security

• Increased data complexity

Answer explanation

Using data manipulation methods enhances data accuracy and efficiency by allowing for better organization, validation, and processing of data, leading to more reliable outcomes.