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Proportion of Females | Exploratory Data Analysis of Nobel Prizes
Exploratory Data Analysis of Nobel Prizes
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Зміст курсу

Exploratory Data Analysis of Nobel Prizes

Proportion 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.

Завдання

  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.

Завдання

  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

Все було зрозуміло?

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.

Завдання

  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
Секція 1. Розділ 4
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