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

Conducting Exploratory Data Analysis of Nobel Prizes

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

bookProportion of Females

We aim to analyze the gender distribution across all categories of the awards, including Economic Sciences, Physics, Chemistry, Peace, Physiology or Medicine, and Literature, to identify which gender predominates in each field.

Task

  1. Create a new column in the nobel DataFrame that identifies if a laureate is female.
  2. Calculate the decade for each Nobel Prize award.
  3. Compute the proportion of female winners for each decade and category.
  4. Plot the proportion of female winners per decade by categories.

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We aim to analyze the gender distribution across all categories of the awards, including Economic Sciences, Physics, Chemistry, Peace, Physiology or Medicine, and Literature, to identify which gender predominates in each field.

Task

  1. Create a new column in the nobel DataFrame that identifies if a laureate is female.
  2. Calculate the decade for each Nobel Prize award.
  3. Compute the proportion of female winners for each decade and category.
  4. Plot the proportion of female winners per decade by categories.

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 4
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