Use name-recognition algorithms to estimate pay equity across public roles.
df['network_latency_ms'].hist(bins=50) plt.title('Network Latency Distribution') plt.show() sunshineliststats csv
If you provide the from your CSV or the exact tool that produces it, I can give you the exact statistical tests, plots, and narrative appropriate for a real academic paper (e.g., for IEEE, ACM, or an internal tech report). sunshineliststats csv
df = pd.read_csv('sunshineliststats.csv') df['timestamp'] = pd.to_datetime(df['timestamp']) df.set_index('timestamp', inplace=True) sunshineliststats csv
The is more than just a list of names; it is a vital tool for civic transparency. By downloading the raw data, you move beyond simple curiosity and gain the power to hold public institutions accountable through rigorous data analysis.