Update pages/EDA.py

pages/EDA.py

@@ -147,17 +147,17 @@ viz_option = st.selectbox("Select a feature visualization:", options=list(featur
 crop_counts = df['Crop'].value_counts()
 explode = [0.1 if i == 0 else 0 for i in range(len(crop_counts))]
 
-fig, ax = plt.subplots(figsize=(5, 3))  # Reduced plot size
+fig, ax = plt.subplots(figsize=(4, 2))  # Reduced plot size
 ax.pie(
     crop_counts, labels=crop_counts.index, autopct='%1.1f%%',
     startangle=140, explode=explode, colors=sns.color_palette("rainbow", len(crop_counts)),
-    textprops={'fontsize': 4}  # Decreased label size
+    textprops={'fontsize': 3}  # Decreased label size
 )
 ax.set_title("Proportion of Crops", fontsize=10)
 st.pyplot(fig)
 
 # Above-Average Nutrient Requirement Crops
-st.markdown("#### ✔ Crops that require above-average soil nutrients & climate factors")
+st.markdown("#### ✔ Crops that require above-average soil nutrients")
 
 # Calculate average nutrient levels
 avg_nitrogen = df['Nitrogen'].mean()
@@ -167,7 +167,7 @@ avg_potassium = df['Potassium'].mean()
 # Function to plot bar charts
 def plot_nutrient_crops(data, title):
     crop_counts = data.value_counts()
-    fig, ax = plt.subplots(figsize=(4, 2))  # Adjusted plot size for better display
+    fig, ax = plt.subplots(figsize=(3, 1))  # Adjusted plot size for better display
     crop_counts.plot(kind='bar', color='skyblue', ax=ax)
     ax.set_xlabel('Crops', fontsize=8)
     ax.set_ylabel('Count', fontsize=8)
@@ -199,14 +199,13 @@ st.markdown("""
     }
 </style>
 <div class='insights-box'>
-    1️⃣ Banana is the most frequent crop, indicating it requires high soil nutrients.<br>
-    2️⃣ Rice, Papaya, and Jute also need good nutrients but less than Banana.
+    1.  Banana is the most frequent crop, indicating it requires high soil nutrients.<br>
+    2.  Rice, Papaya, and Jute also need good nutrients but less than Banana.
 </div>
 """, unsafe_allow_html=True)
 
 # Below-Average Nutrient Requirement Crops
-st.markdown("#### ✔ Crops that require below-average soil nutrients & climate factors")
-st.markdown("<p style='color:blue; font-size:16px;'>Orange, Mango, Coconut.</p>", unsafe_allow_html=True)
+st.markdown("#### ✔ Crops that require below-average soil nutrients")
 
 # Plot: Crops in Nutrient-Poor Soil
 less_avg_of_soil_nutrients = df[
@@ -231,7 +230,7 @@ st.markdown("""
     }
 </style>
 <div class='insights-box'>
-    1️⃣ Orange, Mango, and Coconut are the most frequent crops found in nutrient-poor soil.<br>
-    2️⃣ 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)