Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Proportion of Females | Exploratory Data Analysis of Nobel Prizes
Exploratory Data Analysis of Nobel Prizes
course content

Conteúdo do Curso

Exploratory Data Analysis of Nobel Prizes

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.

Tarefa

  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 desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

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.

Tarefa

  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 desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 1. Capítulo 4
AVAILABLE TO ULTIMATE ONLY
some-alt