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Lære Proportion of Females | Exploratory Data Analysis of Nobel Prizes
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.

Opgave

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  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.

Løsning

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Sektion 1. Kapitel 4

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Suggested prompts:

What data sources can we use to analyze the gender distribution?

Can you provide a summary of the current gender distribution in each category?

How should we visualize the gender predominance across the different award fields?

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Completion rate improved to 16.67

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.

Opgave

Swipe to start coding

  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.

Løsning

Mark tasks as Completed
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Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 4
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