first commit

.gitignore

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+.venv

Makefile

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+PYTHON := 3.12
+VENV_PATH := .venv
+PORT := 8502
+
+.PHONY: venv
+
+venv:
+	uv venv --python $(PYTHON) --allow-existing $(VENV_PATH)
+	source $(VENV_PATH)/bin/activate && uv pip install -r requirements.txt
+
+run: venv
+	source $(VENV_PATH)/bin/activate && $(VENV_PATH)/bin/streamlit run app.py --server.port $(PORT)

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+
+# Function to process and plot CSV data
+def process_and_plot_cumulative_csv(df):
+    """Creates an interactive plot for each book in the dataset."""
+
+    # Extract book names and cumulative chapter values
+    book_names = df.iloc[:, 0]  # First column contains book names
+    cumulative_books = df.iloc[:, 2:].apply(pd.to_numeric, errors='coerce').values  # Convert chapter values to numeric
+
+    # Display each book separately
+    for i, book in enumerate(cumulative_books):
+        book = book[~pd.isna(book)]  # Remove NaN values
+
+        # Create an interactive Plotly figure
+        fig = go.Figure()
+
+        fig.add_trace(go.Scatter(
+            x=list(range(1, len(book) + 1)),
+            y=book,
+            mode='lines+markers',
+            name=book_names[i],
+            marker=dict(size=6),
+            hoverinfo="x+y+name"
+        ))
+
+        # Set layout for the plot
+        fig.update_layout(
+            title=f'{book_names[i]}',
+            xaxis_title="Chapter Index",
+            yaxis_title="Cumulative Change",
+            legend_title="Book",
+            hovermode="x unified",
+            template="plotly_white"
+        )
+
+        # Display the interactive plot in Streamlit
+        st.plotly_chart(fig)
+
+# Streamlit UI
+st.title("📖 Book Analysis: Individual Cumulative Chapter Changes (Interactive)")
+
+# File uploader
+uploaded_file = st.file_uploader("📂 Upload CSV File", type=["csv"])
+
+if uploaded_file is not None:
+    df = pd.read_csv(uploaded_file)  # Read uploaded file
+    st.write("### 📊 Data Preview:")
+    st.dataframe(df)  # Show uploaded data
+
+    st.write("### 📈 Interactive Plots for Each Book:")
+    process_and_plot_cumulative_csv(df)  # Generate interactive plots

requirements.txt

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+matplotlib==3.10.1
+pandas==2.2.3
+plotly==6.0.0
+streamlit==1.43.1