A set of IPython notebooks to help analyze the US Social Security Administration baby names database
U.S. Baby names iPython notebooks
- By David Taylor, www.prooffreader.com
- Uses data from United States Social Security Administration; with some minor adjustments, it should be easily convertible to use other data sets.
- Uses IPython notebooks to facilitate interactive exploration
- Published on Github in case it can be useful to anyone who wishes to explore this or a similar dataset.
- Feedback, positive or negative, is welcome.
Explanation of notebooks with links to nbviewer versions:
- download_and_process.ipynb Downloads and makes pandas dataframe from US SSA baby names data
- charting.ipynb Several cells to make several types of charts from the data
- last_letter_boys_names.ipynb Script to make histograms of last letters in boys' names to show the incredible rise of '-n'. Blog post about it became wildly popular.
- letter_freqs_and_bigrams.ipynb In progress, to find frequency of letters and letter pairs in baby names
- singletons.ipynb In progress, to find names that only appear in the database once.
- trendiness.ipynb To determine trendiest names (with an popular, not mathematic definition of trendy) using an analytical chemistry data analysis technique. The blog post about it was insanely popular, which I did not at all predict!
note: download_and_process.py is simply the .py export of download_and_process.ipynb, so it can be called by other notebooks to load the data.