Conducting Exploratory Data Analysis of Nobel Prizes
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.Course
Gain insight into a topic and learn the fundamentals4.5
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- Grasp the core concepts and applications of Exploratory Data Analysis (EDA) in the context of Nobel Prizes.
- Identify patterns and anomalies in data through both visual and statistical methods.
- Analyze the geographical distribution of Nobel Prizes between Europe and the USA.
- Examine the trends in Nobel Prizes awards including the largest number of winners from a region.
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There are 6 modules in this course
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.Chosen by students of top schools
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Anton Salata
5
Reviewed on Oct 24, 2024
Joshua Sparber
3
Reviewed on May 28, 2024
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.
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Reviewed on Apr 22, 2024
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