DA0-002 practice question 24 of 25
[Data Acquisition and Preparation]Due to new reporting requirements, a data analyst must add new classification codes to historical dat a. Which of…
Full set: 111 questions[Data Acquisition and Preparation]
Due to new reporting requirements, a data analyst must add new classification codes to historical dat a. Which of the following is the best technique for this task?
The "Append" operation is used to add new rows of data to an existing dataset from another dataset that shares the same structure. In this scenario, the new classification codes represent new records that must be added to the historical data. Appending will stack the new data (the new codes) vertically onto the existing historical data table, which is the correct procedure for incorporating new records into a historical dataset or lookup table. This directly addresses the requirement to add new data while preserving the existing records.
B. Binning: This technique is used to group a range of continuous numerical values into a smaller number of discrete "bins" or categories. It transforms existing data, not adds new records.
C. Parsing: This is the process of breaking down a string of data into smaller, constituent parts. It is used for restructuring existing data fields, not for adding new rows of data.
D. Union: While functionally similar to appending (it combines rows from two datasets), Union is a specific set operator, primarily in SQL, that combines the results of two queries. "Append" is the more general and common term in data preparation tools for stacking tables.
1. Microsoft Power Query Documentation: In the context of data preparation tools like Power Query (used in Power BI and Excel)
the distinction is clear. "When you have one or more tables that you want to add to another table
you append them... The append operation creates a new query that contains all rows from a first table followed by all rows from a second table."
Source: Microsoft Docs
"Append queries". (Refer to the main concept description in the article).
2. University Courseware (Data Wrangling): Data science and analysis courses frequently use the Pandas library for Python
where the concept is well-defined. The append method was used for concatenating or stacking dataframes row-wise. While now superseded by concat
its definition illustrates the principle.
Source: McKinney
W. (2017). Python for Data Analysis (2nd ed.). O'Reilly Media. Chapter 8
"Data Wrangling: Join
Combine
and Reshape
" discusses concatenation functions that perform the append operation by stacking data structures.
3. CompTIA Official Material Context: The CompTIA Data+ (DA0-002) exam objectives list "append
" "merge
" "join
" and "union" as distinct data manipulation techniques under Domain 2.2
implying a specific definition for each. "Append" is consistently used to refer to the row-wise addition of data to an existing set.
Source: CompTIA Data+ (DA0-002) Exam Objectives
Section 2.2 "Given a scenario
apply data manipulation techniques."
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