Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
course content

Course Content

Exploratory Data Analysis of Nobel Prizes

Proportion of FemalesProportion 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.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 4
AVAILABLE TO ULTIMATE ONLY
course content

Course Content

Exploratory Data Analysis of Nobel Prizes

Proportion of FemalesProportion 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.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 4
AVAILABLE TO ULTIMATE ONLY
some-alt