Update pages/EDA.py

pages/EDA.py

@@ -131,21 +131,6 @@ feature_mapping = {
 }
 viz_option = st.selectbox("Select a feature visualization:", options=list(feature_mapping.keys()))
 
-
-
-
-# Feature Visualization
-feature_mapping = {
-    "Nitrogen Requirement per Crop": "Nitrogen",
-    "Phosphorus Requirement per Crop": "Phosphorus",
-    "Potassium Requirement per Crop": "Potassium",
-    "Temperature Distribution": "Temperature",
-    "Humidity Distribution": "Humidity",
-    "pH Value Distribution": "pH_Value",
-    "Rainfall Distribution": "Rainfall",
-}
-viz_option = st.select_slider("Select a feature visualization:", options=list(feature_mapping.keys()))
-
 # Function to plot feature distribution
 def plot_feature(feature, title):
     fig, ax = plt.subplots(figsize=(6, 3))  # Reduced plot size
@@ -158,6 +143,19 @@ def plot_feature(feature, title):
 # Display selected feature plot
 plot_feature(feature_mapping[viz_option], viz_option)
 
+
+
+
+
+
+import streamlit as st
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+
+# Load the dataset
+df = pd.read_csv("your_dataset.csv")  # Replace with your actual dataset path
+
 # Pie Chart for Crop Proportions (Displayed Separately)
 st.subheader("📊 Crop Proportions")
 crop_counts = df['Crop'].value_counts()
@@ -177,7 +175,10 @@ st.markdown(
     "<p style='color:green; font-size:16px;'>✔ Crops that require above-average soil nutrients & climate factors: Banana, Rice, Papaya, Jute.</p>", 
     unsafe_allow_html=True
 )
-
+st.markdown(
+    "<p style='color:blue; font-size:16px;'>✔ Crops that require below-average soil nutrients & climate factors: Orange, Mango, Coconut.</p>", 
+    unsafe_allow_html=True
+)
 
 # Slider for Soil Nutrient-Based Crop Insights
 st.subheader("🌿 Soil Nutrient-Based Crop Insights")
@@ -206,28 +207,29 @@ if viz_option == "Crops in Nutrient-Rich Soil":
         (df['Phosphorus'] >= avg_phosphorus) &  
         (df['Potassium'] >= avg_potassium)
     ]['Crop']
+    
     plot_nutrient_crops(more_avg_of_soil_nutrients, "Crops Growing in Nutrient-Rich Soil")
+    
     st.markdown(
-        "<p style='color:green; font-size:18px;'>1.  Banana is the most frequent crop, indicating it requires high soil nutrients.</p>", 
+        "<p style='color:green; font-size:18px;'>1. Banana is the most frequent crop, indicating it requires high soil nutrients.</p>", 
         unsafe_allow_html=True
     )
     st.markdown(
-        "<p style='color:green; font-size:18px;'>2.  Rice, Papaya, and Jute also need good nutrients but less than Banana.</p>", 
+        "<p style='color:green; font-size:18px;'>2. Rice, Papaya, and Jute also need good nutrients but less than Banana.</p>", 
         unsafe_allow_html=True
     )
-  st.markdown(
-    "<p style='color:blue; font-size:16px;'>✔ Crops that require below-average soil nutrients & climate factors: Orange, Mango, Coconut.</p>", 
-    unsafe_allow_html=True
-)
+
 elif viz_option == "Crops in Nutrient-Poor Soil":
     less_avg_of_soil_nutrients = df[
         (df['Nitrogen'] < avg_nitrogen) & 
         (df['Phosphorus'] < avg_phosphorus) &  
         (df['Potassium'] < avg_potassium)
     ]['Crop']
+    
     plot_nutrient_crops(less_avg_of_soil_nutrients, "Crops Growing in Nutrient-Poor Soil")
+
 # Additional Insights Section
-st.markdown("<h2 style='color: #2E86C1; font-size: 23px;'> Insights :</h2>", unsafe_allow_html=True)
+st.markdown("<h2 style='color: #2E86C1; font-size: 23px;'> Insights:</h2>", unsafe_allow_html=True)
 st.markdown("""
 <style>
     .insights-box {
@@ -240,7 +242,7 @@ st.markdown("""
     }
 </style>
 <div class='insights-box'>
-    1. Orange, Mango, and Coconut are the most frequent crops found in nutrient-poor soil.<br>
-    2. These crops are well-adapted to low-fertility conditions and can grow even when nutrient levels are below average.
+    1.  Orange, Mango, and Coconut are the most frequent crops found in nutrient-poor soil.<br>
+    2.  These crops are well-adapted to low-fertility conditions and can grow even when nutrient levels are below average.
 </div>
 """, unsafe_allow_html=True)