The first dataset we will be exploring is the bnames2dataset which consists of the top 1000 male and female baby names in the US from 1880 to 2008.

Baby names dataset r. This package contains three datasets provided by the USA social security administration. The database has 28 datasets as follows. Each dataset is sorted first on sex and then on number of occurrences in descending order.

For each year from 1880 to 2017 the number of children of each sex given each name. For each year from 1880 to 2017 the number of children of each sex given each name. This is a very detailed database with data about male and female names.

R-Data is a small web-based statistical application framework based on Drupal 9 and ℝ. Dataset with more than 250 thousand names. You can find the 2015 data here.

Using a dataset provided by the Social Security Administration I created functions with R to visualize and compare the popularity of names over time. Filter for only the names Steven Thomas and Matthew and assign it to an object called selected_names. It requires a lot of thought.

Like always I turned to data to assist with the decision process. In this tutorial we will be looking on how to get the list of column names in the dataframe with an example. Guessing the year you were born from baby names using R.

All names with more than 5 uses are given. This package contains three datasets provided by the USA social security administration. Note that only names with at least 5 babies born in the same year state are included in this dataset for privacy.