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Tibco TCP-SP Exam - Topic 1 Question 17 Discussion

Transforming an underlying Data Table from Short/Wide to Tall/Skinny format is known as
B) Unpivot
A) Calculation
C) Renaming Columns
D) Pivot
E) Normalization

Tibco TCP-SP Exam - Topic 1 Question 17 Discussion

Actual exam question for Tibco's TCP-SP exam
Question #: 17
Topic #: 1
[All TCP-SP Questions]

Transforming an underlying Data Table from Short/Wide to Tall/Skinny format is known as

Show Suggested Answer Hide Answer
Suggested Answer: B

Unpivoting is a transformation method that changes the data table from a short/wide format to a tall/skinny format. This means that multiple columns are combined into one or a few columns, and the number of rows increases accordingly. Unpivoting can be useful when you want to analyze the distribution of data across different categories or values, or when you want to apply other transformations or calculations on the data. Unpivoting can be done either when loading data or after the data has been loaded into Spotfire. To unpivot data, you need to select which columns to keep as they are (category columns) and which columns to merge into one or more value columns (value columns). You can also specify the names of the new columns and the data types of the value columns.Reference:Unpivoting Data,Transforming Data,Spotfire Tips & Tricks: Normalize/Standardize your data with Spotfire


by Mohammad at Aug 24, 2024, 07:12 PM

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Jeffrey
6 months ago
Definitely not renaming columns!
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Alberto
6 months ago
Wait, is unpivot really the term? Sounds weird.
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Bette
7 months ago
I thought it was normalization?
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Keneth
7 months ago
Totally agree, unpivot is the right term.
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Rory
7 months ago
It's called unpivoting!
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Quiana
7 months ago
I’m torn between "unpivot" and "pivot." They both seem similar, but I think "unpivot" is the one we need here.
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Maryrose
8 months ago
I feel like "normalization" could be related, but it doesn't sound quite right for this specific transformation.
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Ardella
8 months ago
I remember practicing a question about transforming data formats, and "unpivot" was definitely mentioned as the right term.
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Pok
8 months ago
I think the term for changing from wide to long format is "unpivot," but I'm not entirely sure.
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Scot
8 months ago
I remember learning about this in our data modeling unit. Transforming a wide table into a tall table is called Unpivoting the data. So the correct answer here is B, Unpivot.
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Winfred
8 months ago
Wait, is this asking about Pivot or Unpivot? I'm getting a bit confused between those two data transformation techniques. Let me re-read the question and options carefully before answering.
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Tiera
8 months ago
Okay, I've got this. The key here is recognizing that "Tall/Skinny" format refers to a table with more rows than columns, which is the result of an Unpivot operation. I'm confident B is the right answer.
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Howard
8 months ago
Hmm, I'm a bit unsure about this one. I know we covered data transformations in class, but I can't quite remember the specific term for going from wide to tall format. I'll have to think this through carefully.
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Eladia
8 months ago
This looks like a straightforward data transformation question. I think the answer is B - Unpivot, since that's the process of converting a wide/short table into a tall/skinny format.
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Leah
8 months ago
Hmm, I'm a bit unsure about this one. The description mentions "varying traffic levels" and "without manual intervention", so I'm guessing it's related to some kind of auto-scaling or load balancing service. Let me think this through.
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Katlyn
8 months ago
I think the advisory committee is a critical part of the IFRS development process, but I'm not entirely sure if it's an official step.
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Celeste
2 years ago
Actually, Unpivot is the correct choice because it involves converting columns into rows, which is what we need for Tall/Skinny format.
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Leigha
2 years ago
I'm not sure, but I think D) Pivot is the right answer.
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Talia
2 years ago
Hmm, I think D) Pivot is the way to go here. Transforming data into a skinny format? That's gotta be Pivot, right? Or maybe I'm just being a *pivot*-al thinker.
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Ranee
2 years ago
Yeah, I agree. Pivot seems like the best option for converting a short/wide table into a tall/skinny format.
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Ruth
2 years ago
I think you're onto something with D) Pivot. It does sound like the right choice for transforming data into a skinny format.
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Margurite
2 years ago
I agree with Janey, Unpivot is the correct choice for transforming data from Short/Wide to Tall/Skinny format.
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Ceola
2 years ago
I always get Unpivot and Pivot mixed up. This is a tricky one, but B) Unpivot sounds right to me.
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Janey
2 years ago
I think the answer is B) Unpivot.
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Billy
2 years ago
B) Unpivot is the correct answer. It's the process of converting a wide data table into a tall one, which is super useful for data analysis.
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Stefany
2 years ago
Yes, Unpivot is the correct answer. It helps in transforming data tables from wide to tall format.
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Audry
2 years ago
I think the answer is B) Unpivot.
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