Barand

This query uses WINDOW function to get the class averages for each subject. (I am using MariaDB 11.1 but MySql 8 also has them). If you don't have then then us a subquery to get the class averages and join to that.
SELECT studentid , subjectname , student_score , ROUND(AVG(student_score) OVER (PARTITION BY subjectname)) as mean FROM ( SELECT sc.semesterid, sc.classid, sc.studentid, s.subjectname, SUM(r.score) AS student_score FROM result r JOIN student_class sc ON r.studentclassid = sc.id JOIN course c ON r.courseid = c.id JOIN subject s ON c.subjectid = s.id JOIN semester sm ON sc.semesterid = sm.id WHERE sm.id = 10 AND sc.classid = 1 GROUP BY subjectname, studentid ) totals ORDER BY studentid, subjectname;  

Stick with your first code block. Instead of returning "true" on success return $email['fk_UserTypes_Id'].
Then you just need to check the login return value to decide the next page.

Screen.rows, screen.columns, screen.capacity look like derived values to me - you can get that info from the seats for each screen.
booking.ticket_date is no longer required - duplicates the screening.screen_on value.
However, you need to consider the payment process. What if a user books seats and their payment is subsequntly declined?
You would need to know who made the booking. Perhaps make the booking.ticket date an automatic timestamp and, on booking, set a status "payment pending". Set status to "paid" on successful payment. Periodically remove pending payments older than X minutes to release the seats for sale again.

What format is $_POST['date']?
When binding the query params, $date is a string value - you specified "d" (double) and not "s" (string).
Please use the code button "<>" when posting code in future.

The above code is invalid php syntax. That's why there is no output.
Try
<?php echo "<div style='color: green;'>my_message</div>"; echo "my error"; echo 'my error 2'; ?>  

Alternatively
usort($data, fn($a, $b) => isoDate($a) <=> isoDate($b)); echo $data[0]; //--> 03/11/2023 06 This is another text in the line function isoDate($text) { $d = substr($text, 0, 10); return DateTime::createFromFormat('d/m/Y', $d)->format('Y-m-d'); }  

INSERT queries do not have a WHERE clause. You need to to use an "INSERT ... ON DUPLICATE KEY UPDATE ... "
EG
 
INSERT INTO table (id, col_a, col_b) VALUES (?, ?, ?) ON DUPLCATE KEY UPDATE col_a = VALUES(col_a), col_b = VALUES(col_b) ;  

Such as by passing the id of the div to be shown/hidden as a function argument?
function hideDiv(divid) { document.getElementById(divid).style.display = "none"; } . . . <button onclick="hideDiv('welcomeDiv')" class="loginBut" style="font-family: 'Handjet', cursive; font-size: 2EM;">Close</button>  

I agree with Gizmola^.
Using a multidimensional array ...
$probs = [ 'QB' => [ 'RB' => [ 1 => 11.22, 2 => 3.91, 3 => 0.15 ], 'TE' => [ 1 => 5.17, 2 => 0.80, 3 => 0.00 ], 'QB' => [ 1 => 9.44, 2 => 0.00, 3 => 0.00 ], 'WR' => [ 1 => 10.46, 2 => 8.67, 3 => 4.53 ], 'K' => [ 1 => 3.81, 2 => 0.19, 3 => 0.00 ], 'D' => [ 1 => 2.85, 2 => 0.07, 3 => 0.00 ] ] // rinse and repeat with the other MVPs and FLEXs ]; $lineup = 'QB, WR, WR, RB, K'; $arr = array_map('trim', explode(',', $lineup)); $mvp = array_shift($arr); $counts = array_count_values($arr); $probability = 0; foreach ($counts as $p => $n) { $probability += $probs[$mvp][$p][$n]; } echo '<br>'.$probability; // 23.7  

ORDER BY level IS NULL, level

Whe you join a table with M records to a table with N matching records you get M*N records returned. Therefore you are now totalling Nx more records than before.
You need to ensure you join 1 row from 1 tablw with 1 matching record in the other. You can do this with subqueries to get the individal tables' totals.
SELECT t1.customer_id , t2.total_sales , t3.amt_paid FROM customers t1 LEFT JOIN ( SELECT customer_id , SUM(total_price) as total_sales FROM tbl_sales GROUP BY customer_id ) t2 USING (customer_id) LEFT JOIN ( SELECT customer_id , SUM(amt_paid) as amt_paid FROM tbl_sales_total WHERE status = 0 GROUP BY customer_id ) t3 USING (customer_id) WHERE t1.customer_id = 489639 Also, you have a LEFT JOIN to tbl_sales_total t3. You therefore cannot use WHERE t3.status = 0. That condition needs to go into the join condition otherwise the query behaves as though it were an ordinary (INNER) JOIN

Something like this, maybe....
BEFORE
TABLE: stockid; TABLE: product +----+ (empty) | id | +----+ | 1 | | 2 | | 3 | +----+ CSV DATA ------------------------ "A1","A2","A3","A4","A5" "B1","B2","B3","B4","B5" "C1","C2","C3","C4","C5" RUN CODE
$fp = fopen('products.csv', 'r'); // prepare product insert query $stmt = $pdo->prepare("INSERT INTO product (stock_id, prod_name) VALUES (?, ?)"); while ($row = fgetcsv($fp)) { $pdo->exec("INSERT INTO stockid (id) VALUES (NULL)"); $stock_id = $pdo->lastInsertId(); // get next stock id foreach ($row as $prod) { $stmt->execute([ $stock_id, $prod ]); } } fclose($fp); AFTER
TABLE: stockid; TABLE: product +----+ +----+----------+-----------+ | id | | id | stock_id | prod_name | +----+ +----+----------+-----------+ | 1 | | 1 | 4 | A1 | | 2 | | 2 | 4 | A2 | | 3 | | 3 | 4 | A3 | | 4 | | 4 | 4 | A4 | | 5 | | 5 | 4 | A5 | | 6 | | 6 | 5 | B1 | +----+ | 7 | 5 | B2 | | 8 | 5 | B3 | | 9 | 5 | B4 | | 10 | 5 | B5 | | 11 | 6 | C1 | | 12 | 6 | C2 | | 13 | 6 | C3 | | 14 | 6 | C4 | | 15 | 6 | C5 | +----+----------+-----------+  

I'd do it like this...
################################################################################ # CREATE TEMPORARY STAGING TABLE # ################################################################################ $pdo->exec("CREATE TEMPORARY TABLE tempdata ( id int not null auto_increment primary key, sales_doc_type varchar(10), billing_date date, material varchar(10), gross_amount int, sales_office varchar(10), plant varchar(10) ) "); ################################################################################ # READ CSV, # # EXTRACT REQUIRED DATA, # # STORE IN ARRAY FOR INSERTION TO TEMP STAGING TABLE # ################################################################################ $fp = fopen('test1.csv', 'r'); $req_cols = [ 0 => 'sales_doc_type', 2 => 'billing_date', 11 => 'material', 25 => 'gross_amount', 45 => 'sales_office', 47 => 'plant' ]; $import_data = []; while ($allrow = fgetcsv($fp)) { $row = array_intersect_key($allrow, $req_cols); $randdays = rand(5,30); $row[2] = date('Y-m-d', strtotime($row[2])); $row[25] = str_replace(',', '', $row[25]); $import_data[] = vsprintf("('%s','%s','%s','%s','%s','%s')", $row); } fclose($fp); ################################################################################ # ADD RECS FROM ARRAY TO TEMP TABLE - 2000 AT A TIME # ################################################################################ $chunks = array_chunk($import_data, 2000); foreach ($chunks as $ch) { $sql = "INSERT INTO tempdata (sales_doc_type, billing_date, material, gross_amount, sales_office, plant) VALUES " . join(',', $ch); $pdo->exec($sql); } ###################################################################################################################### # # # Now we have the data from the csv stored in a temporary staging table # # which makes it easy to manipulate the data with queries to update our # # database tables with efficient queries rather than running multiple # # queries inside loops. # # # # NOTE - as I never received a reply to my question about the origin of the # # data used toupdate the members table I have had to omit that part # # of the processing. The UPDATE query will be similar to the INSERT # # below except it will update where there is a matching record # # # ###################################################################################################################### ################################################################################ # INSERT TEMPDATA REC INTO billing WHERE NO MATCHING billing_date IN members # ################################################################################ $pdo->exec("INSERT INTO billing (sales_doc_type, billing_date, gross_amount, sales_office, plant, material) SELECT t.sales_doc_type , t.billing_date , t.gross_amount , t.sales_office , t.plant , t.material FROM tempdata t LEFT JOIN members m ON DATE(t.billing_date) = m.billing_date WHERE m.billing_date IS NULL ");  

perhaps
select i.name as itemName, qs.name as sectionName, i.id as itemId, i.GBP, i.USD, i.CAD, cb.charge_by, COUNT(cp.item_id) > 0 as icConsumable from items i inner join quote_sections qs on i.section_id=qs.id inner join charge_by cb on i.charge_by_id = cb.id left join consumable_price cp ON i.id = cp.item_id group by i.id union select ci.name as itemName, qs.name as sectionName, concat("CI", ci.id) as itemId, ci.price as GBP, ci.price as USD, ci.price as CAD, cb.charge_by, 0 as isConsumable from custom_item ci inner join quote_sections qs on ci.section_id=qs.id inner join charge_by cb on ci.charge_by = cb.id  

Something like this...
+---------------+ | invoice_item | +---------------+ | id | | prod_id |------+ | quantity | | +----------+ |---------------+ | | price | | +----------+ +-----<| prod_id | | minqty | | maxqty | | usd | | cad | | eur | +----------+ SELECT i.prod_id , p.product_name , pr.usd , pr.cadd , pr.eur FROM invoice_item i JOIN product p ON i.prod_id = p.id JOIN price pr ON i.prod_id = pr.prod_id AND i.quantity BETWEEN pr.minqty AND pr.maxqty  

Alternatively
$bookquery = array_filter($bookquery, fn($v)=>in_array($v['room_id'], $reservedrooms)); $totalprice = array_sum(array_column($bookquery, 'price'));  

Just using the single available table here...
SELECT dr.id , device_id , status_id , action_time FROM deployment_register dr JOIN ( SELECT device_id , MAX(action_time) as action_time FROM deployment_register WHERE status_id IN (2, 5) GROUP BY device_id ) latest USING (device_id, action_time); +----+-----------+-----------+---------------------+ | id | device_id | status_id | action_time | +----+-----------+-----------+---------------------+ | 7 | 3 | 5 | 2023-10-07 21:06:45 | +----+-----------+-----------+---------------------+ Subquery to find latest row for each device then join against that.

code
$data = file('data.txt', FILE_IGNORE_NEW_LINES|FILE_SKIP_EMPTY_LINES); usort($data, fn($a, $b)=>substr($a,11,2)<=>substr($b,11,2)); // sort by code number $codes = []; foreach ($data as $d) { $p = strpos($d, ')'); $k = substr($d, 11, $p-10); if (!isset($codes[$k])) { $codes[$k] = 1; } else { $codes[$k]++; } } echo (join("<br>", $data)); echo ("<h3>Total clicks</h3>"); foreach ($codes as $code => $total) { printf("%s Total clicks = %d<br>", $code, $total); } output
15/09/2023 03 Resist the Curse (Resiste la Maldición) 11-12-2022.mp3 Finland Helsinki Uusimaa 18/09/2023 03 Resist the Curse (Resiste la Maldición) 11-12-2022.mp3 Finland Helsinki Uusimaa 21/09/2023 03 Resist the Curse (Resiste la Maldición) 11-12-2022.mp3 Germany Gera Thuringia 14/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United States Edmore Michigan 14/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 Spain Alhaurin de la Torre Malaga 14/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 Spain Alhaurin de la Torre Malaga 14/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United States Cedar Springs Michigan 15/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United States Cedar Springs Michigan 15/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 Spain Madrid Madrid 15/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United States Cedar Springs Michigan 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United Kingdom Sheffield Sheffield 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United Kingdom Sheffield Sheffield 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United Kingdom Sheffield Sheffield 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United Kingdom Sheffield Sheffield 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United Kingdom Sheffield Sheffield 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United Kingdom Sheffield Sheffield 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 Spain Nerja Malaga 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 Spain Nerja Malaga 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 Spain Nerja Malaga 16/09/2023 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) 10-9-2023.mp3 United Kingdom Sheffield Sheffield 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 Spain Nerja Malaga 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 Spain Cartagena Murcia 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Chesaning Michigan 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Chesaning Michigan 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Chesaning Michigan 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Chesaning Michigan 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Edmore Michigan 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Edmore Michigan 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Edmore Michigan 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Edmore Michigan 21/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 Spain Nerja Malaga 22/09/2023 05 Day of Atonement 2023 (Día de la Expiación) 17-9-2023.mp3 United States Garden City New York 21/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 Norway Sira Agder 08/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United Kingdom Sheffield Sheffield 08/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United Kingdom Sheffield Sheffield 08/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United Kingdom Sheffield Sheffield 08/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 Spain Muro del Alcoy Alicante 08/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United States Cedar Springs Michigan 09/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United States Cedar Springs Michigan 09/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United States Cedar Springs Michigan 09/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United States Cedar Springs Michigan 09/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United States Edmore Michigan 10/09/2023 19 The Bread of Life (El Pan de la Vida) 27-8-2023.mp3 United States Cedar Springs Michigan 11/09/2023 20 The Legacy of Jesus (El Legado de Jesús)20-8-2023.mp3 United States Ashburn Virginia 15/09/2023 20 Be With Me Where I Am (Está Conmigo Donde Estoy)20-8-2017.mp3 Finland Helsinki Uusimaa 18/09/2023 20 Be With Me Where I Am (Está Conmigo Donde Estoy)20-8-2017.mp3 Finland Helsinki Uusimaa 21/09/2023 20 Be With Me Where I Am (Está Conmigo Donde Estoy)20-8-2017.mp3 Germany Gera Thuringia Total clicks 03 Resist the Curse (Resiste la Maldición) Total clicks = 3 04 Feast of Trumpets 2023 (Fiesta de las Trompetas) Total clicks = 19 05 Day of Atonement 2023 (Día de la Expiación) Total clicks = 12 19 The Bread of Life (El Pan de la Vida) Total clicks = 11 20 The Legacy of Jesus (El Legado de Jesús) Total clicks = 1 20 Be With Me Where I Am (Está Conmigo Donde Estoy) Total clicks = 3  

You need to a way for your js function to specify which popup to show.
One way would be to pass the room id in the function call
onclick = "myFunction(xx)"
and to append the room id to your ids to make them unique
id="mypopupxx"
 

Another way to it is to forget about row_number() OVER etc and, instead, use the simpler
SELECT ... , substring_index(GROUP_CONCAT(f.description separator ' &bull; '), ' &bull; ', 5) as rmfac to get the whole list of facilies then select the first 5

try
foreach ($res as $r) { if (!isset($data[$r['subjectname']])) { $data[$r['subjectname']]['students'] = []; } $position = ordinal($r['rank']); $data[$r['subjectname']]['students'][] = [ 'name' => $r['stname'], 'score' => $r['score'], 'rank' => $position ]; }  

Sorry, I forgot to explain your probems
There are no values in the class_id column that matche a column value in subj_levels column ("58100" != "58100, 47270") For find_in_set() to work, the values should be comma-separated, not comma-space-separated.

If you use prepared queries correctly, with placeholders for user-supplied data, you don't need that code - the values will not be embedded in the SQL code.

When you use an agregation function (like SUM() or GROUP_CONCAT() ) without a GROUP BY clause, you get a single aggregation for the whole table.