That CSV is actually really interesting. The median wallet holds about $30, the largest holds $10b, and the standard deviation is over $2m.

    >>> import pandas as pd
        df = pd.read_csv("btc_balance_sorted.csv")
        df['balance'].apply(lambda x: x * 36902.7 / 100e6).describe()

    count    3.359206e+07
    mean     1.838824e+04
    std      2.819739e+06
    min      3.690270e-04
    25%      2.871768e+00
    50%      2.943913e+01
    75%      2.652168e+02
    max      1.063263e+10