import kagglehub # Download latest version path = kagglehub.dataset_download("jayrav13/unemployment-by-county-us") import pandas as pd df = pd.read_csv(path) print(df) import numpy as np import seaborn as sns import matplotlib.pyplot as plt #Let us check for the county with the highest unemployment rate Exp = df.groupby('Rate').max() Exp #Getting rows of San Juan County Colorado only c = df.loc[(df['County']=='San Juan County') & (df['State']=='Colorado')] #print(c) #Plotting San Juan unemployment rate around the years surrounding 1990s Recession fig, (ax1, ax2, ax3) = plt.subplots(1, 3,figsize=(30,8)) group = c.loc[c['Year']==1990] sns.pointplot(group['Month'], group['Rate'], alpha=0.8, ax=ax1) plt.show() logs as below: Traceback (most recent call last): File ".\unEmploymentRate_kaggle.py", line 46, in sns.pointplot(group['Month'], group['Rate'], alpha=0.8, ax=ax1) TypeError: pointplot() got an unexpected keyword argument 'alpha' Continue reading...