diff --git a/sc_elements.py b/sc_elements.py
index d187ee5..71fd576 100755
--- a/sc_elements.py
+++ b/sc_elements.py
@@ -51,12 +51,22 @@ with open('sc_elements.tex', 'w') as table_file:
 
 from matplotlib import pyplot as plt
 
-fig, ax = plt.subplots(figsize=(15, 9))
+fig, ax = plt.subplots(figsize=(10, 5))
+#df.plot('rho_300', 'T_c', kind='scatter', ax=ax, loglog=True)
 df.plot('rho_300', 'T_c', kind='scatter', ax=ax)
+ax.set_xlabel('$\\rho_{300K}$')
+ax.set_ylabel('$T_c$')
 
 for k, v in df.iterrows():
-    ax.annotate(v['element'], (v['rho_300'], v['T_c']))
+    #ax.annotate(v['element'], (v['rho_300']*.95, v['T_c']*1.05))
+    ax.annotate(v['element'], (v['rho_300']-4, v['T_c']+.2))
+
+#plt.axis(xmin=2e1, xmax=1.5e3, ymin=1e-4, ymax=1e2)
+
+plt.tight_layout()
 
 #fig.show()
-fig.savefig('/home/kvkempen/Documents/20212022Q3/Superconductivity/assignments/sc_elements.pdf')
+fig.savefig('/home/kvkempen/Documents/20212022Q3/Superconductivity/assignments/sc_elements.pdf', bbox_inches='tight')
+#fig.savefig('/home/kvkempen/Documents/20212022Q3/Superconductivity/assignments/sc_elements.pdf')
+
 plt.close(fig)
diff --git a/superconductivity_assignment1_kvkempen.tex b/superconductivity_assignment1_kvkempen.tex
index 39a3a6c..691b7af 100644
--- a/superconductivity_assignment1_kvkempen.tex
+++ b/superconductivity_assignment1_kvkempen.tex
@@ -59,8 +59,12 @@ The data on critical temperatures $T_c$ and (approximately) room temperature res
 
 \begin{figure}[H]
 	\includegraphics[width=\textwidth]{sc_elements.pdf}
+	\caption{In this plot of the critical temperature $T_c$ versus the room temperature resistivity $\rho_{300K}$ for elemental superconductors, not one clear relation can be distinguished. For most elements, resistivity is taken at room temperature $T = \SI{300}{\kelvin}$. If it was unavailable in consulted references, the value at the temperature closest to \SI{300}{\kelvin} was chosen. See the table in appendix \ref{appendix:scelements} for the raw data including their source. The mess in the left bottom corner was hard to filter out. A log-log plot was attempted and improved separation, but obscured the observed form.}
 \end{figure}
 
+As a way to quantize the (lack of) linear correlation, the calculated Pearson correlation coefficient $r = 0.165415$, suggesting a slightly positive but uncertain correlation.
+% I used df.corr() to calculate $r$.
+
 \section{Exam question electrodynamics in superconductors}
 No idea yet.