Workbook.qmd

---
title: "Adaptive Athletics Workbook"
subtitle: Womens' Basketball Statistics
author: 
    - name: Ryan Dennehy
      affiliation: 
        - name: University of Arizona
format: html
toc: true
title-block-banner: true
---

```{python}
# | label: libraries
# | echo: false
# | message: false

import glob
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
```

```{python}
# | lable: data
# | echo: false

# read all CSVs in a folder
files = glob.glob("Data/*.csv")
df = pd.concat((pd.read_csv(f) for f in files), ignore_index=True)

# group by player name and sum all numeric columns
df_combined = df.groupby("First Name", as_index=False).sum(numeric_only=True)
```

# Here is a header denoting the first area

# Here is a second header