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

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

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?

Suggested Answer: D

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34 comments · newest first
MA
Maxima 10 months ago
Not sure if log transformation is the only way, though...
PA
Patria 10 months ago
Histograms are great for visualizing, but they won't normalize the data.
TA
Tayna 10 months ago
Definitely agree with the log transformation!
GE
Gerardo 10 months ago
Wait, can a square transformation really help?
RA
Rashad 10 months ago
You can apply a logarithmic transformation to fix that right tail!
DE
Denise 11 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.
CA
Cammy 11 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.
SA
Salina 11 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.
BR
Brendan 11 months ago
I remember discussing transformations in class, and I think a logarithmic transformation can help with right-skewed data.
HE
Heike 12 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.
DI
Dianne 12 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.
KE
Kenny 12 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.
SH
Shayne 1 year 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.
JA
Janine 1 year 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.
JU
Juan 1 year ago
A square transformation? What is this, geometry class? Logarithmic is the only way to straighten out that funky distribution.
VA
Vallie 1 year ago
↳ replying to Juan
It's a common technique in data analysis.
LA
Laurena 1 year ago
↳ replying to Juan
I've used it before and it really made a difference.
AD
Adell 1 year ago
↳ replying to Juan
I agree, it can help normalize the data.
GL
Glory 1 year ago
↳ replying to Juan
Logarithmic transformation is the way to go.
JA
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.
JU
Justine 1 year ago
↳ replying to Jaleesa
I always use logarithmic transformation for right-skewed data, it works like a charm.
GR
Gregg 1 year ago
↳ replying to Jaleesa
I agree, it can help make the data more normally distributed.
ER
Erinn 1 year ago
↳ replying to Jaleesa
Logarithmic transformation is definitely the way to go.
MA
Madelyn 1 year ago
Definitely go with the logarithmic transformation. That's like the secret sauce for normalizing data.
DA
Daryl 1 year ago
↳ replying to Madelyn
I'll give it a try and see how the data looks after the transformation.
EL
Eladia 1 year ago
↳ replying to Madelyn
I agree, it really helps with those long tail distributions.
CA
Carma 1 year ago
↳ replying to Madelyn
Logarithmic transformation is the way to go for normalizing the data.
MA
Mabel 1 year ago
I would also consider applying a square transformation to see if it improves the distribution.
WI
Willow 1 year ago
I agree with Jennifer, a logarithmic transformation can help address the long tail to the right in the data.
LE
Leonard 1 year ago
Haha, a long tail to the right? Looks like someone's been partying a little too hard!
AR
Arlene 1 year ago
↳ replying to Leonard
C) Apply a square transformation
JO
Johnathon 1 year ago
↳ replying to Leonard
D) Apply a logarithmic transformation
CR
Craig 1 year ago
↳ replying to Leonard
A) Use a scatter plot to obtain a better picture
JE
Jennifer 1 year ago
I think applying a logarithmic transformation could help make the dataset more normally distributed.
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