diff --git a/banking_breakdown/__main__.py b/banking_breakdown/__main__.py
index cdd8a89..fbc4ed7 100644
--- a/banking_breakdown/__main__.py
+++ b/banking_breakdown/__main__.py
@@ -1,34 +1,48 @@
-import pandas as pd
 from banking_breakdown import document_builder
-import subprocess
-import os
-import shutil
-
 import pandas as pd
-
 from banking_breakdown import types
 import numpy as np
 
 
-def main():
+def _generate_dummy_data() -> types.ReportData:
     categories = ["A", "B", "C", "D", "E", "F", "G"]
     values = np.array([10, 12, 53, 12, 90, 23, 32])
     values = values / values.sum() * 100
-
-    total_value = np.random.normal(size=10) + 4
-    net_income = np.diff(total_value)
+    values = np.round(values, decimals=1)
+    values[-1] += 100 - np.sum(values)
 
     category_overview_df = pd.DataFrame(
-        {"category": categories, "value": values.astype('int32')})
-    t = np.linspace(0, total_value.size, total_value.size)
-    total_value_df = pd.DataFrame({"t": t, "value": total_value})
-    t = np.linspace(0, net_income.size, net_income.size)
+        {"category": categories, "value": values})
+
+    t = ["2023-01-01",
+         "2023-02-01",
+         "2023-03-01",
+         "2023-04-01",
+         "2023-05-01",
+         "2023-06-01",
+         "2023-07-01",
+         "2023-08-01",
+         "2023-09-01",
+         "2023-10-01",
+         "2023-11-01",
+         "2023-12-01"]
+
+    net_income = 200 * np.random.normal(size=len(t)) + 100
     net_income_df = pd.DataFrame({"t": t, "value": net_income})
 
+    total_value = np.cumsum(net_income)
+
+    total_value_df = pd.DataFrame({"t": t, "value": total_value})
+
     report_data = types.ReportData(category_overview=category_overview_df,
                                    net_income=net_income_df,
                                    total_value=total_value_df)
 
+    return report_data
+
+
+def main():
+    report_data = _generate_dummy_data()
     document_builder.build_document(report_data)
 
 
diff --git a/res/report.tex b/res/report.tex
index 7b7fd68..9a040e7 100644
--- a/res/report.tex
+++ b/res/report.tex
@@ -4,6 +4,7 @@
 \usepackage{amsmath}
 \usepackage{pgfplots}
 \pgfplotsset{compat=newest}
+\usetikzlibrary{pgfplots.dateplot}
 
 % Other packages
 \usepackage[a4paper, total={12cm, 25cm}]{geometry}
@@ -30,6 +31,10 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 
+\makeatletter
+\newcommand*\shortyear[1]{\expandafter\@gobbletwo\number\numexpr#1\relax}
+\makeatother
+
 \newcommand{\slice}[6]{
 	\pgfmathparse{0.5*#1+0.5*#2}
 	\let\midangle\pgfmathresult
@@ -136,15 +141,28 @@
 
 		\begin{tikzpicture}
 			\begin{axis}[
+				date coordinates in=x,
 				width=\textwidth,
 				height=0.375\textwidth,
 				ylabel={Net income in €},
 				y label style={at={(-0.1,0.5)},anchor=south},
+				xticklabel=\month.\shortyear{\year},
+				xtick=data,
+				xticklabel style={
+					rotate=60,
+					anchor=near xticklabel,
+				},
+				grid,
 			]
-				\addplot+[ybar, color=scol2, fill=scol2, line width=1pt]
+				% Dummy plot to set x axis labels
+				\addplot[draw=none]
+					table[col sep=comma, x=t, y=value]
+						{net_income.csv};
+
+				\addplot[ybar, color=scol2, fill=scol2, line width=1pt]
 					table[col sep=comma, x=t, y=value, discard if lt={value}{0}]
 						{net_income.csv};
-				\addplot+[ybar, color=scol0, fill=scol0, line width=1pt]
+				\addplot[ybar, color=scol0, fill=scol0, line width=1pt]
 					table[col sep=comma, x=t, y=value, discard if gt={value}{0}]
 						{net_income.csv};
 			\end{axis}
@@ -155,11 +173,19 @@
 
 		\begin{tikzpicture}
 			\begin{axis}[
+				date coordinates in=x,
 				width=\textwidth,
 				height=0.375\textwidth,
 				area style,
 				ylabel={Total balance in €},
 				y label style={at={(-0.1,0.5)},anchor=south},
+				xticklabel=\month.\shortyear{\year},
+				xtick=data,
+				xticklabel style={
+					rotate=60,
+					anchor=near xticklabel,
+				},
+				grid,
 			]
 				\addplot+[mark=none, color=scol1, line width=1pt]
 					table[col sep=comma, x=t, y=value]