r = len(numerical_columns[1:])
fig, axs =plt.subplots(r,2, constrained_layout=True, figsize=(18,4*r))
for j,i in enumerate(numerical_columns[1:]):
sns.kdeplot(data=df, x=i, y="Rented Bike Count", fill=True, ax = axs[j,0] ).set(title="kdeplot")
# sns.lineplot(data=df, x=i, y="Rented Bike Count", ax=axs[j,1]).set(title="lineplot")
sns.scatterplot(data=df, x=i, y="Rented Bike Count", ax=axs[j,1]).set(title="scatterplot")
# plt.suptitle(f'{col.title()}',weight='bold')
plt.show()