diff --git a/wk8/week8.tex b/wk8/week8.tex
index c574cc4..1317cec 100644
--- a/wk8/week8.tex
+++ b/wk8/week8.tex
@@ -24,9 +24,7 @@
 	\maketitle
 
 	\section{Introduction} \label{sec:introduction}
-
-	\section{Method} \label{sec:method}
-
+	
 	The purpose of this report is to re-analyse the data presented in the paper by
 	\cite{dong2018methods}, which investigates the effect that protests (as an
 	example of disruptive social behaviours in general) have on consumer
@@ -39,11 +37,13 @@
 	(OECD). Although \cite{dong2018methods} investigate temporal and spatial
 	effects on consumer spending, for the purposes of this analysis, only the
 	spatial effect of variables (with relation to the geographical distance from
-	the event) is considered. The dataset consists of variables measured as a
-	function of the distance from the event (in km), including: the number of
-	customers, the median spending amount, the number of transactions, and the
-	total sales amount.
+	the event) is considered.
+	
+	\section{Method} \label{sec:method}
 
+	The dataset consists of variables measured as a	function of the distance 
+	from the event (in km), including: the number of customers, the median 
+	spending amount, the number of transactions, and the total sales amount.
 	The re-analysis is conducted on the data provided in the
 	paper\cite{dong2018methods}, using Python in conjunction with packages such as
 	pandas, matplotlib, numpy and seaborn, to process and visualise the data. As