Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.

### Tables ###
TABLE: CREATE TABLE Customer_Orders ( order_id INTEGER, customer_id INTEGER, order_status VARCHAR(15), order_date DATETIME, order_details VARCHAR(255) )
TABLE: CREATE TABLE Products ( product_id INTEGER, product_details VARCHAR(255) )
TABLE: CREATE TABLE Customer_Addresses ( customer_id INTEGER, address_id INTEGER, date_address_from DATETIME, address_type VARCHAR(15), date_address_to DATETIME )
TABLE: CREATE TABLE Customers ( customer_id INTEGER, payment_method VARCHAR(15), customer_name VARCHAR(80), date_became_customer DATETIME, other_customer_details VARCHAR(255) )
TABLE: CREATE TABLE Customer_Contact_Channels ( customer_id INTEGER, channel_code VARCHAR(15), active_from_date DATETIME, active_to_date DATETIME, contact_number VARCHAR(50) )
TABLE: CREATE TABLE Addresses ( address_id INTEGER, address_content VARCHAR(80), city VARCHAR(50), zip_postcode VARCHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), other_address_details VARCHAR(255) )
TABLE: CREATE TABLE Order_Items ( order_id INTEGER, product_id INTEGER, order_quantity VARCHAR(15) )

### Question ###
How many customers using email as the contact channel? Group by customer name and bin active date by weekday in a stacked bar chart, show from high to low by the y-axis.

### Accurate SQL ###

SELECT active_from_date, COUNT(active_from_date) FROM Customers AS t1 JOIN Customer_Contact_Channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email' GROUP BY customer_name ORDER BY COUNT(active_from_date) DESC