funnelplot | Funnel plot | Dashboard library

## Synthetic data
import numpy as np
import random
random.seed(2020)
np.random.seed(2020)
groups = []
p_mean, p_std = 0, 1
# random groups, with different sizes, means and std. devs.
for i in range(25):
    n_group = np.random.randint(1, 80)
    g_st  

# load some example data
import pandas as pd
import matplotlib.pyplot as plt
from pydataset import data
from funnelplot.core import funnel

# create a suitable axis
fig,ax = plt.subplots(figsize=(4,6))
ax.set_frame_on(False)

# funnel plot, using 0.5