diff --git a/p3/visualise.py b/p3/visualise.py
index ed31d62..89902e3 100644
--- a/p3/visualise.py
+++ b/p3/visualise.py
@@ -43,30 +43,31 @@ plt.close()
 theta = pd.read_csv('data/theta.csv', header=None)
 #  theta = np.transpose(theta) # -> no need to transpose.
 
-th_columns = ["$ \hat{a}_1 $","$ \hat{a}_2 $","$ \hat{b}_1 $","$ \hat{b}_2 $"]
+th_columns = ["$\hat{a}_1 $", "$\hat{a}_2 $", "$\hat{b}_1$", "$\hat{b}_2$"]
 for i in theta:
 	plt.plot(theta[i], label=th_columns[i])
 	plt.locator_params(axis='x', nbins=12)
 
 plt.legend()
-plt.xlabel("$ \mathit{k}T $")
-plt.title("ARX Theta (Θ) Parameter Estimation using Recursive Least Squares")
+plt.xlabel("$\mathit{k}T$")
+plt.title("ARX Theta (θ) Parameter Estimation using RLSq")
 plt.savefig('res/theta.png', dpi=300)
 plt.clf()
 
 
 error = pd.read_csv('data/estimate_error.csv', header=None)
 
-plt.plot(error, label="$ ê(\mathit{k}T) $")
+plt.plot(error, label="$\hat{e}(\mathit{k}T)$")
 plt.locator_params(axis='x', nbins=12)
 plt.legend()
-plt.xlabel("$ \mathit{k}T $")
-plt.title("ARX RLSq Theta (Θ) Parameter Estimation Error")
+plt.xlabel("$\mathit{k}T$")
+plt.title("Error of ARX Theta (θ) Parameter Estimation using RLSq")
 plt.savefig('res/error.png', dpi=300)
 plt.clf()
 
 
 explicitTheta = pd.read_csv('data/explicit_theta.csv', header=None)
+
 eTx = explicitTheta[0:4]
 eTy = explicitTheta[4:8]
 eTxy = [eTx, eTy]
@@ -76,10 +77,10 @@ print(explicitTheta)
 
 explicitError = pd.read_csv('data/explicit_error.csv', header=None)
 
-plt.plot(explicitError, label="$ ê(\mathit{k}T) $")
+plt.plot(explicitError, label="$ê(\mathit{k}T)$")
 plt.locator_params(axis='x', nbins=12)
 plt.legend()
-plt.xlabel("$ \mathit{k}T $")
-plt.title("ARX ELSq Theta (Θ) Parameter Estimation Error")
+plt.xlabel("$\mathit{k}T$")
+plt.title("Error of ARX Theta (θ) Parameter Estimation using ELSq")
 plt.savefig('res/explicit_error.png', dpi=300)
 plt.clf()