Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25

- Free Preparation Discussions

Dell EMC D-DS-FN-23 Exam - Topic 2 Question 6 Discussion

Actual exam question for Dell EMC's D-DS-FN-23 exam

Question #: 6
Topic #: 2

[All D-DS-FN-23 Questions]

After running a density plot you realize that the data has a long tail to the right. What can you do to make the dataset more normally distributed?

AUse a scatter plot to obtain a better picture

BUse a histogram to obtain a better picture

CApply a square transformation

DApply a logarithmic transformation

Show Suggested Answer

Suggested Answer: D

by Jesusita at Apr 30, 2025, 07:22 AM

Limited Time Offer

25%

Off

Get Premium D-DS-FN-23 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Maxima

7 months ago

Not sure if log transformation is the only way, though...

upvoted 0 times

...

Patria

7 months ago

Histograms are great for visualizing, but they won't normalize the data.

upvoted 0 times

...

Tayna

7 months ago

Definitely agree with the log transformation!

upvoted 0 times

...

Gerardo

7 months ago

Wait, can a square transformation really help?

upvoted 0 times

...

Rashad

8 months ago

You can apply a logarithmic transformation to fix that right tail!

upvoted 0 times

...

Denise

8 months ago

I’m a bit confused about whether a histogram would really help in making the dataset more normally distributed, but it could show the distribution better.

upvoted 0 times

...

Cammy

8 months ago

I practiced a similar question where we had to decide between different transformations, and I think the logarithmic one is usually recommended for long tails.

upvoted 0 times

...

Salina

8 months ago

I'm not entirely sure, but I feel like applying a square transformation might not be the best choice for normalizing the data.

upvoted 0 times

...

Brendan

8 months ago

I remember discussing transformations in class, and I think a logarithmic transformation can help with right-skewed data.

upvoted 0 times

...

Heike

9 months ago

Hmm, this is a tricky one. I'm not entirely sure which transformation would be best here. I know a square root or log transformation can help normalize skewed data, but I'd need to think through the specifics of this case to decide which one would work better. I'll make sure to show my work and explain my reasoning on this one.

upvoted 0 times

...

Dianne

9 months ago

Alright, time to put my stats knowledge to the test. Since we have a long right tail, a logarithmic transformation (option D) is probably the way to go. That should help pull in those outliers and make the distribution more bell-shaped. I'm feeling pretty confident about this one.

upvoted 0 times

...

Kenny

9 months ago

I'm a bit confused here. The question is asking how to make the data more normally distributed, but the options don't seem to directly address that. I'm not sure if a scatter plot or histogram would really help. I think I'll need to review my notes on data transformations to figure this out.

upvoted 0 times

...

Shayne

9 months ago

Okay, I've got this. The density plot shows a long right tail, so I need to apply a transformation that will pull in that tail and make the distribution more symmetric. I'd go with option C and try a square transformation.

upvoted 0 times

...

Janine

9 months ago

Hmm, this is a tricky one. I think the key is to find a way to transform the data to make it more normally distributed. A square or logarithmic transformation could work, but I'll need to think it through carefully.

upvoted 0 times

...

Juan

1 year ago

A square transformation? What is this, geometry class? Logarithmic is the only way to straighten out that funky distribution.

upvoted 0 times

Vallie

12 months ago

It's a common technique in data analysis.

upvoted 0 times

...

Laurena

1 year ago

I've used it before and it really made a difference.

upvoted 0 times

...

Adell

1 year ago

I agree, it can help normalize the data.

upvoted 0 times

...

Glory

1 year ago

Logarithmic transformation is the way to go.

upvoted 0 times

...

...

Jaleesa

1 year ago

Ugh, I hate it when my data has a case of the right-skewed blues. Logarithmic is the way to go, no doubt.

upvoted 0 times

Justine

1 year ago

I always use logarithmic transformation for right-skewed data, it works like a charm.

upvoted 0 times

...

Gregg

1 year ago

I agree, it can help make the data more normally distributed.

upvoted 0 times

...

Erinn

1 year ago

Logarithmic transformation is definitely the way to go.

upvoted 0 times

...

...

Madelyn

1 year ago

Definitely go with the logarithmic transformation. That's like the secret sauce for normalizing data.

upvoted 0 times

Daryl

1 year ago

I'll give it a try and see how the data looks after the transformation.

upvoted 0 times

...

Eladia

1 year ago

I agree, it really helps with those long tail distributions.

upvoted 0 times

...

Carma

1 year ago

Logarithmic transformation is the way to go for normalizing the data.

upvoted 0 times

...

...

Mabel

1 year ago

I would also consider applying a square transformation to see if it improves the distribution.

upvoted 0 times

...

Willow

1 year ago

I agree with Jennifer, a logarithmic transformation can help address the long tail to the right in the data.

upvoted 0 times

...

Leonard

1 year ago

Haha, a long tail to the right? Looks like someone's been partying a little too hard!

upvoted 0 times

Arlene

1 year ago

C) Apply a square transformation

upvoted 0 times

...

Johnathon

1 year ago

D) Apply a logarithmic transformation

upvoted 0 times

...

Craig

1 year ago

A) Use a scatter plot to obtain a better picture

upvoted 0 times

...

...

Jennifer

1 year ago

I think applying a logarithmic transformation could help make the dataset more normally distributed.

upvoted 0 times

...