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コース Conducting Exploratory Data Analysis of Nobel Prizes - 修了証付きオンライン学習
python

Conducting Exploratory Data Analysis of Nobel Prizes

Edoardo Cantagallo

3.8

Python

6 Chapters

0 Studying now

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.

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コースの説明

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.

技術

Python

言語

En

評価

3.8

6

Nobel Prizes Dataset

Europe and USA

The Largest Number of Nobel Prizes

Proportion of Females

Motivation Analysis

Extra Statistics

0%

Nobel Prizes Dataset

Europe and USA

The Largest Number of Nobel Prizes

Proportion of Females

Motivation Analysis

Extra Statistics

レビュー

3.8of 5

5 評価

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25%
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25%

Joshua S.

674日前

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.

710日前

c...

John S.

812日前

Good tool...

Matej Š.

834日前

What i need to write in code and what tasks say are not the same or even close. Hints are useless....

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