plt.figure(figsize=(25,25))
for idx, col in enumerate(crimeData.columns[2:]): #excluding county & year
    counts, bin_edges = np.histogram(crimeData[col], bins=10, density = True)
    pdf = counts/(sum(counts))
    cdf = np.cumsum(pdf)

    plt.subplot(7, 4, idx+1)
    plt.plot(bin_edges[1:],pdf, label='PDF')
    plt.plot(bin_edges[1:],cdf, label='CDF')
    plt.title(col + " CDF",fontsize=15)
    plt.xlabel(col)
    plt.tight_layout()
    plt.legend()