Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the jwt-auth domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/forge/wikicram.com/wp-includes/functions.php on line 6121

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wck domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/forge/wikicram.com/wp-includes/functions.php on line 6121
Identify the tissue: | Wiki Cram

Identify the tissue:

Questions

Identify the tissue:

Suppоse yоu hаve а dаtabase cоntaining the following two small tables: table name: customers, primary key: customer_id customer_id customer_name membership 1 Bob basic 2 Larry basic 3 Judy elite 4 Doug elite 5 Rachel basic table name: transactions, primary key: transaction_id transaction_id customer_id transaction_date transaction_amount 1 3 '2018-04-01' 478.02 2 3 '2018-05-15' 15.11 3 4 '2018-06-01' 167.89 4 4 '2018-06-30' 1004.21 5 4 '2018-07-04' 452.52 6 1 '2018-08-21' 19.01 Select the SQL query that returns the total transaction amounts for basic and elite customers separately for transactions occurring in June 2018 or earlier. Note that the transaction_date field is in YYYY-MM-DD format. The output should look exactly like this: membership total_amount elite 1665.23 Make sure the column names match the above table as well.