https://twitter.com/ryxcommar/status/1280268687455457281

covid_state_names_chart.py

import os
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import us  # pip install us

# Data is available here: https://covidtracking.com/data/download
df = pd.read_csv(os.path.expanduser('~/Downloads/daily.csv'))

# Filter the data, rename stuff
df = df.loc[df['date'] == 20200706, ['state', 'total']]
df = df.rename(columns={'total': 'COVID-19 cases'})

# Define our independent variable.
df['state_full_name'] = df['state'].apply(lambda x: us.states.lookup(x).name)
df['Number of letters in state name'] = df['state_full_name'].str.replace(' ', '').str.len()

# Perform super cool epic regression
fig, ax = plt.subplots(dpi=300)
ax.set_xlim(left=-10, right=300)
sns.regplot(
  x=df['Number of letters in state name'],
  y=df['COVID-19 cases'],
  ax=ax,
  ci=None,
  truncate=False
)
plt.show()