diff --git a/dashboard_code/dashboard.py b/dashboard_code/dashboard.py
index 0635112efece43156a9327441b583bc245bdb506..86df109920d66ec25ec1c9d0733093f1468f324c 100644
--- a/dashboard_code/dashboard.py
+++ b/dashboard_code/dashboard.py
@@ -7,7 +7,7 @@ class Dashboard:
self.graph_groups = {} # {group_name: {category_name: [(title, html), ...], ...}, ...}
self.home_graphs = [] # Store the graphs that should also appear on the home page
- def add_graph(self, group_name, category_name, fig, title):
+ def add_graph(self, group_name, category_name, fig, title, description=None):
# Make the figure responsive
fig.update_layout(autosize=True)
graph_html = pio.to_html(fig, full_html=False, config={"responsive": True})
@@ -17,14 +17,14 @@ class Dashboard:
self.graph_groups[group_name] = {}
if category_name not in self.graph_groups[group_name]:
self.graph_groups[group_name][category_name] = []
- self.graph_groups[group_name][category_name].append((title, graph_html))
-
+ self.graph_groups[group_name][category_name].append((title, graph_html, description))
+
graph_home_html = pio.to_html(fig, full_html=False, config={"responsive": True})
# Add to home page if it’s one of these choropleths
if title == "Map of World Crime":
- self.home_graphs.append((title, graph_home_html))
+ self.home_graphs.append((title, graph_home_html, description))
- def generate_html(self, output_path="dashboard_code/graphs_display.html"):
+ def generate_html(self, output_path="dashboard_code/graphs_display.html", description=None):
html_template = """
<!DOCTYPE html>
<html lang="en">
@@ -89,6 +89,16 @@ class Dashboard:
.plotly-graph {{
font-size: 16px;
}}
+ .description-textarea {{
+ width: 100%;
+ resize: none;
+ background: #343a40;
+ color: #f8f9fa;
+ border: 1px solid #495057;
+ border-radius: 5px;
+ padding: 10px;
+ margin-top: 10px;
+ }}
</style>
</head>
<body>
@@ -151,7 +161,7 @@ class Dashboard:
# Home tab content: Map of World Crime taking up the entire page
home_html = '<div class="row">'
- for title, graph_html in self.home_graphs:
+ for title, graph_html, desc in self.home_graphs:
if title == "Map of World Crime":
home_html += f"""
<div class="col-12">
@@ -167,7 +177,7 @@ class Dashboard:
home_html += f"""
<div class="description-container">
<textarea class="form-control" rows="4" style="resize: none; background: #343a40; color: #f8f9fa; border: 1px solid #495057;" readonly>
-You can add any home page description here if needed.
+Welcome to the CrimeBoard, your interactive platform for exploring global and UK-specific crime trends. This dashboard offers insights into crime distribution, economic factors, and regional disparities through dynamic visualizations, including maps, line charts, and bar graphs.
</textarea>
</div>
"""
@@ -200,11 +210,10 @@ You can add any home page description here if needed.
graphs_html = ""
for category_name, graphs_list in categories.items():
graphs_html += f"<h3>{category_name}</h3>"
- for title, graph_html in graphs_list:
- # The text box description for each graph
+ for title, graph_html, desc in graphs_list:
description_html = f"""
- <textarea class="form-control" rows="4" style="resize: none; background: #343a40; color: #f8f9fa; border: 1px solid #495057;" readonly>
-This is a fixed description for {title}. You can style it as needed.
+ <textarea class="description-textarea" rows="4" readonly>
+ {desc if desc else "No description provided."}
</textarea>
"""
graphs_html += f"""
diff --git a/data_storage/UK/Crime/combined_crime_uk.db b/data_storage/UK/Crime/combined_crime_uk.db
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diff --git a/data_storage/UN/Labour/SYB67_200_202411_Employment.db b/data_storage/UN/Labour/SYB67_200_202411_Employment.db
index fcf450c3220343bfc807de76e581cbc8308d51b8..81b485684dba9e99f951f5c3b6bc33188bc47f60 100644
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diff --git a/data_storage/UN/Labour/SYB67_329_202411_Labour Force and Unemployment.db b/data_storage/UN/Labour/SYB67_329_202411_Labour Force and Unemployment.db
index d12ba55cce56c6aaab782ddacafb70a46c42404d..66a1d2d47cd837e44f2dd005fb5c97cbcc67aac2 100644
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diff --git a/data_storage/UN/Land/SYB67_145_202411_Land.db b/data_storage/UN/Land/SYB67_145_202411_Land.db
index 173083414682d23db5b223b9d2c503b33483ba54..ba5a811490e03b5e05aae7ac3cc2ffbfd7c44eeb 100644
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diff --git a/graphs/graphs_display.html b/graphs/graphs_display.html
index fc6500030dced1effd266347129f6b2ce348df53..8851876f9eedf0205f21e5777d35da4a8abf01ac 100644
Binary files a/graphs/graphs_display.html and b/graphs/graphs_display.html differ
diff --git a/main.py b/main.py
index b621f7101c264c97eb71aa978b6f4698fcb20fa8..34d30e769d1512827c345087c330ce25c971d5d9 100644
--- a/main.py
+++ b/main.py
@@ -698,6 +698,18 @@ def graph8():
if __name__ == "__main__":
+
+ graph_descriptions = {
+ "Map of World Crime": "This choropleth visualizes global crime rates, with varying color intensity representing crime severity in different regions. It provides an overview of crime hotspots, helping users understand regional disparities in crime rates. The user can filter by crime type or gender for further insights.",
+ "Homicide Rate": "This line chart shows global homicide rate trends from 2005 to 2022. It allows users to select specific countries or continents to examine regional trends. The chart highlights the fluctuations in homicide rates over time and across regions.",
+ "GDP per Capita (USD) by Continent": "This pie chart animation illustrates the percentage distribution of GDP per capita by continent from 1995 to 2022. The animation shows how the global economic landscape has shifted, with an additional 'other' category abstracting smaller GDP percentages. Users can explore data for specific years to see economic changes.",
+ "Crime and Economy": "This grouped bar chart compares GDP per capita (left axis, blue bars) and homicide rates (right axis, red bars) for different regions. It provides a direct comparison of economic prosperity with crime levels, allowing users to explore correlations. Users can sort the data by GDP or crime rate for deeper analysis.",
+ "Total Recorded Crime": "This choropleth shows the distribution of crime across UK local authority areas, with colors indicating varying crime levels. The user can filter by crime type or total recorded crime to analyze specific trends. The focus is on highlighting areas with the highest crime rates and exploring potential connections to education expenditure",
+ "UK Education Expenditure": "This stacked bar chart shows the UK government's education expenditure from 2015 to 2023, broken down by type of education (e.g., secondary, tertiary). The color-coded sections allow users to see how funding is allocated across different education sectors. This chart helps to understand trends in government investment in education over the years.",
+ "UK Crime Line Graph": "This line chart tracks total crime rates across the UK from 2015 to 2024. It shows how crime has fluctuated over the years, providing a broader understanding of crime trends in the country. Users can see the overall trajectory of crime and analyze yearly changes.",
+ "Distribution of Crime Types": "This choropleth shows the distribution of crime across UK local authority areas, with colors indicating varying crime levels. The user can filter by crime type or total recorded crime to analyze specific trends. The focus is on highlighting areas with the highest crime rates and exploring potential connections to education expenditure."
+ }
+
graphs = [
("Map of World Crime", combined_choropleth, "UN", "Crime"),
("Homicide Rate", un_crime_line_chart, "UN", "Crime"),
@@ -705,14 +717,14 @@ if __name__ == "__main__":
("Crime and Economy", large_grouped_bar_chart, "UN", "Socioeconomic"),
("Total Recorded Crime", graph9, "UK", "Crime"),
("UK Education Expenditure", graph8, "UK", "Socioeconomic"),
- ("UK Crime Bar Chart", graph10, "UK", "Crime"),
+ ("UK Crime Line Graph", graph10, "UK", "Crime"),
("Distribution of Crime Types", graph11, "UK", "Crime")
]
# Add each graph to the dashboard with a progress bar
for title, graph_function, group_name, category_name in tqdm(graphs, desc="Generating graphs"):
fig = graph_function()
- d_board.add_graph(group_name=group_name, category_name=category_name, fig=fig, title=title)
+ d_board.add_graph(group_name=group_name, category_name=category_name, fig=fig, title=title , description=graph_descriptions.get(title, ""))
# Finally, generate the HTML