US Social Security applications are a great way to track trends in how babies born in the US are named. Data.gov releases two datasets that are helplful for this: one at the [national level](https://catalog.data.gov/dataset/baby-names-from-social-security-card-applications-national-level-data) and another [at the state level](https://catalog.data.gov/dataset/baby-names-from-social-security-card-applications-data-by-state-and-district-of-). Note that only names with at least 5 babies born in the same year (/ state) are included in this dataset for privacy. [](https://www.kaggle.com/benhamner/d/kaggle/us-baby-names/babies-named-benjamin-over-time) I've taken the raw files here and combined/normalized them into two CSV files (one for each dataset) as well as a SQLite database with two equivalently-defined tables. The code that did these transformations is [available here](https://github.com/benhamner/us-baby-names/). *New to data exploration in R? Take the free, interactive DataCamp course, "[Data Exploration With Kaggle Scripts](https://www.datacamp.com/courses/data-exploration-with-kaggle-scripts)," to learn the basics of visualizing data with ggplot. You'll also create your first Kaggle Scripts along the way.*