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

Contenido del Curso

Conducting 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.

Tarea
test

Swipe to show code editor

  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 desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

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.

Tarea
test

Swipe to show code editor

  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 desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 1. Capítulo 4
AVAILABLE TO ULTIMATE ONLY
We're sorry to hear that something went wrong. What happened?
some-alt