Update: column name

Author: openset

problems/human-traffic-of-stadium/README.md

@@ -11,15 +11,14 @@
 
 ## 601. Human Traffic of Stadium (Hard)
 
-<p>X city built a new stadium, each day many people visit it and the stats are saved as these columns: <b>id</b>, <b>date</b>, <b>people</b>
-</p><p>
-Please write a query to display the records which have 3 or more consecutive rows and the  amount of people more than 100(inclusive).
-</p>
- 
+<p>X city built a new stadium, each day many people visit it and the stats are saved as these columns: <b>id</b>, <strong>visit_</strong><b>date</b>, <b>people</b></p>
+
+<p>Please write a query to display the records which have 3 or more consecutive rows and the amount of people more than 100(inclusive).</p>
 For example, the table <code>stadium</code>:
+
 <pre>
 +------+------------+-----------+
-| id   | date       | people    |
+| id   | visit_date | people    |
 +------+------------+-----------+
 | 1    | 2017-01-01 | 10        |
 | 2    | 2017-01-02 | 109       |
@@ -31,20 +30,19 @@ For example, the table <code>stadium</code>:
 | 8    | 2017-01-08 | 188       |
 +------+------------+-----------+
 </pre>
-<p>
-For the sample data above, the output is:
-</p>
+
+<p>For the sample data above, the output is:</p>
+
 <pre>
 +------+------------+-----------+
-| id   | date       | people    |
+| id   | visit_date | people    |
 +------+------------+-----------+
 | 5    | 2017-01-05 | 145       |
 | 6    | 2017-01-06 | 1455      |
 | 7    | 2017-01-07 | 199       |
 | 8    | 2017-01-08 | 188       |
 +------+------------+-----------+
 </pre>
-<p>
-<b>Note:</b><br/>
-Each day only have one row record, and the dates are increasing with id increasing.
-</p>
+
+<p><b>Note:</b><br />
+Each day only have one row record, and the dates are increasing with id increasing.</p>

problems/human-traffic-of-stadium/mysql_schemas.sql

@@ -1,10 +1,10 @@
-Create table If Not Exists stadium (id int, date DATE NULL, people int);
+Create table If Not Exists stadium (id int, visit_date DATE NULL, people int);
 Truncate table stadium;
-insert into stadium (id, date, people) values ('1', '2017-01-01', '10');
-insert into stadium (id, date, people) values ('2', '2017-01-02', '109');
-insert into stadium (id, date, people) values ('3', '2017-01-03', '150');
-insert into stadium (id, date, people) values ('4', '2017-01-04', '99');
-insert into stadium (id, date, people) values ('5', '2017-01-05', '145');
-insert into stadium (id, date, people) values ('6', '2017-01-06', '1455');
-insert into stadium (id, date, people) values ('7', '2017-01-07', '199');
-insert into stadium (id, date, people) values ('8', '2017-01-08', '188');
+insert into stadium (id, visit_date, people) values ('1', '2017-01-01', '10');
+insert into stadium (id, visit_date, people) values ('2', '2017-01-02', '109');
+insert into stadium (id, visit_date, people) values ('3', '2017-01-03', '150');
+insert into stadium (id, visit_date, people) values ('4', '2017-01-04', '99');
+insert into stadium (id, visit_date, people) values ('5', '2017-01-05', '145');
+insert into stadium (id, visit_date, people) values ('6', '2017-01-06', '1455');
+insert into stadium (id, visit_date, people) values ('7', '2017-01-07', '199');
+insert into stadium (id, visit_date, people) values ('8', '2017-01-08', '188');

problems/sales-person/README.md

@@ -12,15 +12,15 @@
 ## 607. Sales Person (Easy)
 
 <p><b>Description</b></p>
-<p>
-Given three tables: <code>salesperson</code>, <code>company</code>, <code>orders</code>.</br>
-Output all the <b>names</b> in the table <code>salesperson</code>, who didn’t have sales to company 'RED'.
-<p>
-<b>Example</b><br />
-<b>Input</b>
-<p>
-Table: <code>salesperson</code>
-</p>
+
+<p>Given three tables: <code>salesperson</code>, <code>company</code>, <code>orders</code>.<br />
+Output all the <b>names</b> in the table <code>salesperson</code>, who didn&rsquo;t have sales to company &#39;RED&#39;.</p>
+
+<p><b>Example</b><br />
+<b>Input</b></p>
+
+<p>Table: <code>salesperson</code></p>
+
 <pre>
 +----------+------+--------+-----------------+-----------+
 | sales_id | name | salary | commission_rate | hire_date |
@@ -32,10 +32,10 @@ Table: <code>salesperson</code>
 |   5      | Alex | 50000  |     10          | 2/3/2007  |
 +----------+------+--------+-----------------+-----------+
 </pre>
-The table <code>salesperson</code> holds the salesperson information. Every salesperson has a <b>sales_id</b> and a <b>name</b>.</br>
-<p>
-Table: <code>company</code>
-</p>
+The table <code>salesperson</code> holds the salesperson information. Every salesperson has a <b>sales_id</b> and a <b>name</b>.
+
+<p>Table: <code>company</code></p>
+
 <pre>
 +---------+--------+------------+
 | com_id  |  name  |    city    |
@@ -46,25 +46,24 @@ Table: <code>company</code>
 |   4     | GREEN  |   Austin   |
 +---------+--------+------------+
 </pre>
-The table <code>company</code> holds the company information. Every company has a <b>com_id</b> and a <b>name</b>.</br>
-<p>
-Table: <code>orders</code>
-</p>
+The table <code>company</code> holds the company information. Every company has a <b>com_id</b> and a <b>name</b>.
+
+<p>Table: <code>orders</code></p>
+
 <pre>
-+----------+----------+---------+----------+--------+
-| order_id |  date    | com_id  | sales_id | amount |
-+----------+----------+---------+----------+--------+
-| 1        | 1/1/2014 |    3    |    4     | 100000 |
-| 2        | 2/1/2014 |    4    |    5     | 5000   |
-| 3        | 3/1/2014 |    1    |    1     | 50000  |
-| 4        | 4/1/2014 |    1    |    4     | 25000  |
++----------+------------+---------+----------+--------+
+| order_id | order_date | com_id  | sales_id | amount |
++----------+------------+---------+----------+--------+
+| 1        |   1/1/2014 |    3    |    4     | 100000 |
+| 2        |   2/1/2014 |    4    |    5     | 5000   |
+| 3        |   3/1/2014 |    1    |    1     | 50000  |
+| 4        |   4/1/2014 |    1    |    4     | 25000  |
 +----------+----------+---------+----------+--------+
 </pre>
-The table <code>orders</code> holds the sales record information, salesperson and customer  company are represented by <b>sales_id</b> and <b>com_id</b>.</br>
+The table <code>orders</code> holds the sales record information, salesperson and customer company are represented by <b>sales_id</b> and <b>com_id</b>.
+
+<p><b>output</b></p>
 
-<p>
-<b>output</b> 
-</p>
 <pre>
 +------+
 | name | 
@@ -74,11 +73,11 @@ The table <code>orders</code> holds the sales record information, salesperson an
 | Alex |
 +------+
 </pre>
-<p>
-<b>Explanation</b>
-<p>
-According to order '3' and '4' in table <code>orders</code>, it is easy to tell only salesperson 'John' and 'Alex' have sales to company 'RED',</br>so we need to output all the other <b>names</b> in table <code>salesperson</code>.
-</p>
+
+<p><b>Explanation</b></p>
+
+<p>According to order &#39;3&#39; and &#39;4&#39; in table <code>orders</code>, it is easy to tell only salesperson &#39;John&#39; and &#39;Alex&#39; have sales to company &#39;RED&#39;,<br />
+so we need to output all the other <b>names</b> in table <code>salesperson</code>.</p>
 
 ### Hints
 <details>

problems/sales-person/mysql_schemas.sql

@@ -1,6 +1,6 @@
 Create table If Not Exists salesperson (sales_id int, name varchar(255), salary int,commission_rate int, hire_date varchar(255));
 Create table If Not Exists company (com_id int, name varchar(255), city varchar(255));
-Create table If Not Exists orders (order_id int, date varchar(255), com_id int, sales_id int, amount int);
+Create table If Not Exists orders (order_id int, order_date varchar(255), com_id int, sales_id int, amount int);
 Truncate table salesperson;
 insert into salesperson (sales_id, name, salary, commission_rate, hire_date) values ('1', 'John', '100000', '6', '4/1/2006');
 insert into salesperson (sales_id, name, salary, commission_rate, hire_date) values ('2', 'Amy', '12000', '5', '5/1/2010');
@@ -13,7 +13,7 @@ insert into company (com_id, name, city) values ('2', 'ORANGE', 'New York');
 insert into company (com_id, name, city) values ('3', 'YELLOW', 'Boston');
 insert into company (com_id, name, city) values ('4', 'GREEN', 'Austin');
 Truncate table orders;
-insert into orders (order_id, date, com_id, sales_id, amount) values ('1', '1/1/2014', '3', '4', '10000');
-insert into orders (order_id, date, com_id, sales_id, amount) values ('2', '2/1/2014', '4', '5', '5000');
-insert into orders (order_id, date, com_id, sales_id, amount) values ('3', '3/1/2014', '1', '1', '50000');
-insert into orders (order_id, date, com_id, sales_id, amount) values ('4', '4/1/2014', '1', '4', '25000');
+insert into orders (order_id, order_date, com_id, sales_id, amount) values ('1', '1/1/2014', '3', '4', '10000');
+insert into orders (order_id, order_date, com_id, sales_id, amount) values ('2', '2/1/2014', '4', '5', '5000');
+insert into orders (order_id, order_date, com_id, sales_id, amount) values ('3', '3/1/2014', '1', '1', '50000');
+insert into orders (order_id, order_date, com_id, sales_id, amount) values ('4', '4/1/2014', '1', '4', '25000');