Trending baby names


You are given the following dataset, containing information on baby names from the U.S. Social Security Administration.

Using the dataset, write code to find the following:

  • Number of unique names across the dataset, split by both # of unique male/female names
  • Top 10 most popular male and female names, along with their associated counts
  • The top 10 most popular names from 2010+, with an associated plot to show the relative growth between names
# Here is code to pull the dataset and relevant libraries 
# into a Google Colab or Jupyter notebook to help get you started
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
baby_names = pd.read_csv('')
year name gender count
0 1880 Mary F 7065
1 1880 Anna F 2604
2 1880 Emma F 2003
3 1880 Elizabeth F 1939
4 1880 Minnie F 1746


Access restricted

Subscribe to premium account to see the solution.

Get premium now