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 Problems ( problem_id INTEGER, product_id INTEGER, closure_authorised_by_staff_id INTEGER, reported_by_staff_id INTEGER, date_problem_reported DATETIME, date_problem_closed DATETIME, problem_description VARCHAR(255), other_problem_details VARCHAR(255) )
TABLE: CREATE TABLE Problem_Status_Codes ( problem_status_code VARCHAR(20), problem_status_description VARCHAR(80) )
TABLE: CREATE TABLE Problem_Log ( problem_log_id INTEGER, assigned_to_staff_id INTEGER, problem_id INTEGER, problem_category_code VARCHAR(20), problem_status_code VARCHAR(20), log_entry_date DATETIME, log_entry_description VARCHAR(255), log_entry_fix VARCHAR(255), other_log_details VARCHAR(255) )
TABLE: CREATE TABLE Problem_Category_Codes ( problem_category_code VARCHAR(20), problem_category_description VARCHAR(80) )
TABLE: CREATE TABLE Product ( product_id INTEGER, product_name VARCHAR(80), product_details VARCHAR(255) )
TABLE: CREATE TABLE Staff ( staff_id INTEGER, staff_first_name VARCHAR(80), staff_last_name VARCHAR(80), other_staff_details VARCHAR(255) )

### Question ###
Find all dates of the logs for the problem whose id is 10, show me a bar chart that bins the dates into the weekday interval, and counts the dates, could you display by the y axis in asc?

### Accurate SQL ###

SELECT log_entry_date, COUNT(log_entry_date) FROM Problem_Log WHERE problem_id = 10 ORDER BY COUNT(log_entry_date)