Update app.py

app.py

@@ -3,23 +3,29 @@ import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
 
-
 st.title('My first app')
-st.write("Here's our first APP with Streamlit")
-
+st.write("Here's our first app with Streamlit")
 
 df_courses_year = pd.read_csv('udemy_courses_year.csv')
 
+# Extract unique years and sort them
+years = sorted(df_courses_year['year'].unique())
+
+# Sidebar for selecting year(s)
+selected_years = st.sidebar.multiselect('Select Year(s)', years, default=years)
+
+# Filter data based on selected year(s)
+filtered_data = df_courses_year[df_courses_year['year'].isin(selected_years)]
 
 # Set style for better visuals
 sns.set(style="whitegrid")
 
 # Create the plot
 plt.figure(figsize=(10, 6))
-ax = sns.countplot(x='year', data=df_courses_year, palette='viridis')
+ax = sns.countplot(x='year', data=filtered_data, palette='viridis')
 ax.set_title('Count of Observations per Year')
 ax.set_xlabel('Year')
 ax.set_ylabel('Count')
 plt.xticks(rotation=45)
 
-st.pyplot(plt)
+st.pyplot(plt)