def task_2(orders, reviews):

    df = orders.merge(reviews, on = 'order_id')
    df['order_delivered_carrier_date'] = pd.to_datetime(df['order_delivered_carrier_date']).dt.date

    df['order_delivered_carrier_date'].dropna(inplace = True)
    df.drop_duplicates()
    grouped_df = df.groupby(['order_delivered_carrier_date', 'order_status']).agg({'order_id':'count'}).reset_index()
    grouped_df.rename(columns = {'order_id': 'order_count', 'order_delivered_carrier_date': 'date'}, inplace = True)
    fig = px.histogram(grouped_df, x= "date", y = "order_count", color="order_status", histfunc="avg")
    fig.update_layout(
        xaxis_rangeslider_visible=True
    )
    fig.show()
    my_reviews = copy.deepcopy(reviews)
    my_reviews['review_answer_timestamp'] = pd.to_datetime(my_reviews['review_answer_timestamp']).dt.date
    grouped_reviews = my_reviews.groupby(['review_answer_timestamp']).agg({'review_score':'mean'}).reset_index()
    grouped_reviews.rename(columns = {'review_answer_timestamp' : 'review_date'}, inplace = True)

    fig2 = px.histogram(grouped_reviews, x= "review_date", y = 'review_score', histfunc = 'avg')
    fig2.update_layout(
        xaxis_rangeslider_visible=True
    )
    fig2.show()