Update pages/EDA.py

pages/EDA.py

@@ -163,11 +163,11 @@ def plot_nutrient_crops(data, title):
     crop_counts = data.value_counts()
     fig, ax = plt.subplots(figsize=(6, 3))  # 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)
-    ax.set_title(title, fontsize=8)
-    ax.tick_params(axis='x', labelsize=8)  # Adjust x-axis label size
-    ax.tick_params(axis='y', labelsize=8)  # Adjust y-axis label size
+    ax.set_xlabel('Crops', fontsize=7)
+    ax.set_ylabel('Count', fontsize=7)
+    ax.set_title(title, fontsize=7)
+    ax.tick_params(axis='x', labelsize=7)  # Adjust x-axis label size
+    ax.tick_params(axis='y', labelsize=7)  # Adjust y-axis label size
     st.pyplot(fig)
 
 # Plot: Crops in Nutrient-Rich Soil
@@ -273,13 +273,13 @@ st.markdown("""
 
 
 
-st.markdown("<h2 style='text-align: left; color: #D35400;font-size: 23px;'>Crops that require above-average sclimate factors</h2>", unsafe_allow_html=True)
+st.markdown("<h2 style='text-align: left; color: #D35400;font-size: 23px;'>Crops that require above-average climate factors</h2>", unsafe_allow_html=True)
 
 # Calculate average of climate factors
-avg_nitrogen = df['Temperature'].mean()
-avg_phosphorus = df['Humidity'].mean()
-avg_potassium = df['pH_Value'].mean()
-avg_rainfall = df['Rainfall'].mean()
+avg_Temperature = df['Temperature'].mean()
+avg_Humidity = df['Humidity'].mean()
+avg_pH_Value = df['pH_Value'].mean()
+avg_Rainfall = df['Rainfall'].mean()
 
 # Function to plot bar charts
 def plot_climate_crops(data, title):