Quadrant Analysis

quadrant analysis

plt.figure(figsize=(12,8))

#Scatterplot
sns.scatterplot(data=hdi_df, x='gni_pc', y='life_ex')

#Title 
plt.title(f"G 20 Countries : {abbr['gni_pc']} vs {abbr['life_ex']}")

# x and y axis labels
plt.xlabel(abbr['gni_pc'])
plt.ylabel(abbr['life_ex'])

#Country names
for i in range(hdi_df.shape[0]):
          plt.text(hdi_df.gni_pc[i], y=hdi_df.life_ex[i], s=hdi_df.Country[i], alpha=0.8)

#Quadrant Marker          
plt.text(x=40000, y=68, s="Q4",alpha=0.7,fontsize=14, color='b')
plt.text(x=15000, y=68, s="Q3",alpha=0.7,fontsize=14, color='b')
plt.text(x=15000, y=78, s="Q2", alpha=0.7,fontsize=14, color='b')
plt.text(x=40000, y=78, s="Q1", alpha=0.7,fontsize=14, color='b')          

# Benchmark Mean values          
plt.axhline(y=hdi_df.life_ex.mean(), color='k', linestyle='--', linewidth=1)           
plt.axvline(x=hdi_df.gni_pc.mean(), color='k',linestyle='--', linewidth=1) 
          
plt.show()

How to perform a quadrant analysis using two variables in python