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What's in a Name?
This project explores baby names data to come up with interesting insights.
Start Project10 Tasks1,500 XP
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Project Description
In this project, you will explore the baby names dataset compiled by the Social Security Administration. The data (name, year of birth, sex and number) are from a 100 percent sample of Social Security card applications after 1879. This dataset is a minehouse and contains lots of interesting stories to explore. In this project, you will explore some of these interesting stories around trendiness in names, and estimating a person's age from their name.
Project Tasks
- 1Introduction to Baby Names Data
- 2Exploring Trends in Names
- 3Proportion of Births
- 4Popularity of Names
- 5Trendy vs. Stable Names
- 6Bring in Mortality Data
- 7Smoothen the Curve!
- 8Distribution of People Alive by Name
- 9Estimate Age
- 10Median Age of Top 10 Female Names
Technologies
Python
Ramnath Vaidyanathan
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VP of Product Research at DataCamp
Ramnath Vaidyanathan is the VP of Product Research at DataCamp, where he drives product innovation and data-driven development. He has 10+ years experience doing statistical modeling, machine learning, optimization, retail analytics, and interactive visualizations. He brings a unique perspective to product development, having worked in diverse industries like management consulting, academia, and enterprise softwares.
Prior to joining DataCamp, he worked as a data scientist at Alteryx, leading the roadmap for interactive visualizations and dashboards for predictive analytics. Prior to Alteryx, he was an Assistant Professor of Operations Management in the Desautels Faculty of Management at McGill University. His research primarily focused on the application of predictive analytics and optimization methodologies to improve operational decisions in retailing. He got his Ph.D. in Operations Management from the Wharton School.