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Exploratory Data Analysis of Nobel Prizes
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Exploratory Data Analysis of Nobel Prizes

Exploratory Data Analysis of Nobel Prizes

Nobel Prizes DatasetEurope and USAThe Largest Number of Nobel PrizesProportion of FemalesMotivation AnalysisExtra Statistics

bookNobel Prizes Dataset

What is a Nobel Prize

The Nobel Prize, an esteemed international accolade, is orchestrated by the Nobel Foundation based in Stockholm, Sweden, and derives from the legacy of Alfred Nobel, a Swedish inventor and businessman. In 1968, the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel was established, augmenting the original categories.

Each award comprises a medal, a diploma tailored to the recipient, and a monetary prize. Annually, it honors individuals in the fields of chemistry, literature, physics, physiology or medicine, economics, and peace for their groundbreaking contributions.

Historically, the prize exhibited a bias towards male recipients predominantly from Europe. The current era prompts an examination of whether this trend has evolved to reflect a more diverse array of laureates.

Dataset Overview

In this analysis, we'll leverage data on Nobel Prize laureates to explore these dynamics. You can access a comprehensive breakdown of the dataset, including its 52 columns, here.

Task

  1. Load the "nobel_data.csv" file using pandas.
  2. Preview the first 5 entries of the dataset.
  3. Summarize the dataset's column information.
  4. Generate descriptive statistics for the dataset.
  5. Identify number of missing values per column.

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What is a Nobel Prize

The Nobel Prize, an esteemed international accolade, is orchestrated by the Nobel Foundation based in Stockholm, Sweden, and derives from the legacy of Alfred Nobel, a Swedish inventor and businessman. In 1968, the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel was established, augmenting the original categories.

Each award comprises a medal, a diploma tailored to the recipient, and a monetary prize. Annually, it honors individuals in the fields of chemistry, literature, physics, physiology or medicine, economics, and peace for their groundbreaking contributions.

Historically, the prize exhibited a bias towards male recipients predominantly from Europe. The current era prompts an examination of whether this trend has evolved to reflect a more diverse array of laureates.

Dataset Overview

In this analysis, we'll leverage data on Nobel Prize laureates to explore these dynamics. You can access a comprehensive breakdown of the dataset, including its 52 columns, here.

Task

  1. Load the "nobel_data.csv" file using pandas.
  2. Preview the first 5 entries of the dataset.
  3. Summarize the dataset's column information.
  4. Generate descriptive statistics for the dataset.
  5. Identify number of missing values per column.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 1
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