-l15, = ax.plot(theta, deaths_headlines['total_2015'], color="#e47d7d", label="2015") # 0
-l16, = ax.plot(theta, deaths_headlines['total_2016'], color="#afc169", label="2016") # 72 , d0e47d
-l17, = ax.plot(theta, deaths_headlines['total_2017'], color="#7de4a6", label="2017") # 144
-l18, = ax.plot(theta, deaths_headlines['total_2018'], color="#7da6e4", label="2018") # 216
-l19, = ax.plot(theta, deaths_headlines['total_2019'], color="#d07de4", label="2019") # 288
+l15, = ax.plot(theta, dhna['total_2015'], color="#e47d7d", label="2015") # 0
+l16, = ax.plot(theta, dhna['total_2016'], color="#afc169", label="2016") # 72 , d0e47d
+l17, = ax.plot(theta, dhna['total_2017'], color="#7de4a6", label="2017") # 144
+l18, = ax.plot(theta, dhna['total_2018'], color="#7da6e4", label="2018") # 216
+l19, = ax.plot(theta, dhna['total_2019'], color="#d07de4", label="2019") # 288