Data files used in "Data Science Full Course for Beginners"

data/penguins.csv
  palmerpenguins dataset: Horst AM, Hill AP, Gorman KB (2020). palmerpenguins: Palmer
  Archipelago (Antarctica) penguin data. Data originally collected by Dr. Kristen Gorman
  and the Palmer Station Long Term Ecological Research (LTER) Program
  (Gorman, Williams & Fraser 2014). License: CC0 1.0 (public domain dedication).
  https://allisonhorst.github.io/palmerpenguins/

California Housing (NOT included in this download; used by project.py)
  Derived from the 1990 U.S. census. Pace, R. Kelley and Ronald Barry (1997), "Sparse
  Spatial Autoregressions", Statistics & Probability Letters, 33, 291-297. Originally from
  the StatLib repository. No explicit redistribution licence is stated, so it is not shipped
  here: project.py and finished/project.py download it on first run with
  sklearn.datasets.fetch_california_housing(as_frame=True) (internet needed once; cached
  in ~/scikit_learn_data afterwards).
  https://scikit-learn.org/stable/datasets/real_world.html#california-housing-dataset

data/customers_messy.csv
  Tiny practice file typed on screen in the cleaning chapter. All names and values are
  invented.

Code: typed on screen during the course; free to use for learning.
Python 3.14.7; package versions pinned in requirements.txt.
Run each script from this folder (e.g. `python charts.py`); charts are saved to charts/.
