Conducting Exploratory Data Analysis of Nobel Prizes
INTERMEDIATE
#python
Author: Edoardo Cantagallo
Course description
We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.
Ratings & reviews
Anton S.
47 days ago
Joshua S.
197 days ago
Part 5 took a lot of work to figure out. I guess OK if I can continue recoding. The output was strange for earliest female winners, and I wondered whether min() was selecting the m... Show more
a b.
233 days ago
c
Ratings & reviews
4.5out of 5
4 ratings
Anton S.
47 days ago
Joshua S.
197 days ago
Part 5 took a lot of work to figure out. I guess OK if I can continue recoding. The output was strange for earliest female winners, and I wondered whether min() was selecting the minimum year and finding no one, or the minimum value. With no hints took quite a while, a lot more than an hour to get it to run satisfactorily. Again, a sphinxlike response for test--I showed 69 lines of code, not 67. Have no idea what this means.
a b.
233 days ago
c
John S.
335 days ago
Good tool
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In this project, we will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes.