JettIsOnTheNet

// Go scan sheet / Cheat Sheet

// main package
package main

// imports
import (
        "fmt"
        "io/ioutil"
        "os"

JettIsOnTheNet

function yeet(error) {
  throw error;
}

const drag = {
  log: (...args) => console.log(...args),
  error: (...args) => console.error(...args),
  warn: (...args) => console.warn(...args),
  info: (...args) => console.info(...args)
};

JettIsOnTheNet

import pandas as pd
import matplotlib.pyplot as plt
data1 = pd.read_csv('MEHOINUSA646N.csv')
data2 = pd.read_csv('ASPUS.csv')
data1['DATE'] = pd.to_datetime(data1['DATE'])
data2['DATE'] = pd.to_datetime(data2['DATE'])

fig, ax1 = plt.subplots(figsize=(12, 6))

ax1.plot(data1['DATE'], data1['MEHOINUSA646N'], label='Median Household Income', color='blue')

JettIsOnTheNet

import pandas as pd
import matplotlib.pyplot as plt

# load
# https://fred.stlouisfed.org/series/IHLIDXUSTPHUMARESO
df_hr = pd.read_csv('IHLIDXUSTPHUMARESO.csv', parse_dates=['DATE'])
# https://fred.stlouisfed.org/series/IHLIDXUSTPSOFTDEVE
df_software = pd.read_csv('IHLIDXUSTPSOFTDEVE.csv', parse_dates=['DATE'])
# https://fred.stlouisfed.org/series/IHLIDXUSTPPROJMANA
df_pm = pd.read_csv('IHLIDXUSTPPROJMANA.csv', parse_dates=['DATE'])