Query: I have 4 rows, need to add the results from 3 rows into one, and leave the last row untouched










1















I have a kind of tricky question for this query. First the code:



SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
FROM incident
INNER JOIN user ON incident.user_id=user.user_id
INNER JOIN user_type ON user.user_type=user_type.user_type
WHERE incident.code=2
GROUP BY user.user_type


What Am I doing?



For example, I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2).



this brings the following result:



+-----------------------+----------+
| user_type_description | Quantity |
+-----------------------+----------+
| Admin | 6 |
| Moderator | 8 |
| Fully_registered_user | 8 |
| anonymous_user | 9 |
+-----------------------+----------+


Basically Admin,Moderator and Fully_registered_user are appropriately registered users. I need to add them in a result where it shows like:



+--------------+------------+
| Proper_users | Anonymous |
+--------------+------------+
| 22 | 9 |
+--------------+------------+


I am not good with sql. Any help is appreciated. Thanks.










share|improve this question



















  • 1





    Show your sample data and expected result with formatted table.. You can use This And your group by is weird.. Your select use user_type.user_type_description but your group by user.user_type

    – dwir182
    Nov 13 '18 at 0:09












  • I used your link, but stackoverflow just omits spaces. Yes, I group by user type, which is a number. 0=admin 1=mod 2=fully_reg_user 3=anonymous. user_type_description contains the text description for those numbers.

    – Martincho
    Nov 13 '18 at 0:22






  • 1





    I can't follow you if you don't show sample data..

    – dwir182
    Nov 13 '18 at 0:29











  • Ok! Let me see. I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2) Hope that helps a bit.

    – Martincho
    Nov 13 '18 at 0:35






  • 1





    Put it on your question to provide more info..

    – dwir182
    Nov 13 '18 at 0:37















1















I have a kind of tricky question for this query. First the code:



SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
FROM incident
INNER JOIN user ON incident.user_id=user.user_id
INNER JOIN user_type ON user.user_type=user_type.user_type
WHERE incident.code=2
GROUP BY user.user_type


What Am I doing?



For example, I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2).



this brings the following result:



+-----------------------+----------+
| user_type_description | Quantity |
+-----------------------+----------+
| Admin | 6 |
| Moderator | 8 |
| Fully_registered_user | 8 |
| anonymous_user | 9 |
+-----------------------+----------+


Basically Admin,Moderator and Fully_registered_user are appropriately registered users. I need to add them in a result where it shows like:



+--------------+------------+
| Proper_users | Anonymous |
+--------------+------------+
| 22 | 9 |
+--------------+------------+


I am not good with sql. Any help is appreciated. Thanks.










share|improve this question



















  • 1





    Show your sample data and expected result with formatted table.. You can use This And your group by is weird.. Your select use user_type.user_type_description but your group by user.user_type

    – dwir182
    Nov 13 '18 at 0:09












  • I used your link, but stackoverflow just omits spaces. Yes, I group by user type, which is a number. 0=admin 1=mod 2=fully_reg_user 3=anonymous. user_type_description contains the text description for those numbers.

    – Martincho
    Nov 13 '18 at 0:22






  • 1





    I can't follow you if you don't show sample data..

    – dwir182
    Nov 13 '18 at 0:29











  • Ok! Let me see. I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2) Hope that helps a bit.

    – Martincho
    Nov 13 '18 at 0:35






  • 1





    Put it on your question to provide more info..

    – dwir182
    Nov 13 '18 at 0:37













1












1








1








I have a kind of tricky question for this query. First the code:



SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
FROM incident
INNER JOIN user ON incident.user_id=user.user_id
INNER JOIN user_type ON user.user_type=user_type.user_type
WHERE incident.code=2
GROUP BY user.user_type


What Am I doing?



For example, I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2).



this brings the following result:



+-----------------------+----------+
| user_type_description | Quantity |
+-----------------------+----------+
| Admin | 6 |
| Moderator | 8 |
| Fully_registered_user | 8 |
| anonymous_user | 9 |
+-----------------------+----------+


Basically Admin,Moderator and Fully_registered_user are appropriately registered users. I need to add them in a result where it shows like:



+--------------+------------+
| Proper_users | Anonymous |
+--------------+------------+
| 22 | 9 |
+--------------+------------+


I am not good with sql. Any help is appreciated. Thanks.










share|improve this question
















I have a kind of tricky question for this query. First the code:



SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
FROM incident
INNER JOIN user ON incident.user_id=user.user_id
INNER JOIN user_type ON user.user_type=user_type.user_type
WHERE incident.code=2
GROUP BY user.user_type


What Am I doing?



For example, I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2).



this brings the following result:



+-----------------------+----------+
| user_type_description | Quantity |
+-----------------------+----------+
| Admin | 6 |
| Moderator | 8 |
| Fully_registered_user | 8 |
| anonymous_user | 9 |
+-----------------------+----------+


Basically Admin,Moderator and Fully_registered_user are appropriately registered users. I need to add them in a result where it shows like:



+--------------+------------+
| Proper_users | Anonymous |
+--------------+------------+
| 22 | 9 |
+--------------+------------+


I am not good with sql. Any help is appreciated. Thanks.







mysql sql rows






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 13 '18 at 0:47







Martincho

















asked Nov 13 '18 at 0:02









MartinchoMartincho

188




188







  • 1





    Show your sample data and expected result with formatted table.. You can use This And your group by is weird.. Your select use user_type.user_type_description but your group by user.user_type

    – dwir182
    Nov 13 '18 at 0:09












  • I used your link, but stackoverflow just omits spaces. Yes, I group by user type, which is a number. 0=admin 1=mod 2=fully_reg_user 3=anonymous. user_type_description contains the text description for those numbers.

    – Martincho
    Nov 13 '18 at 0:22






  • 1





    I can't follow you if you don't show sample data..

    – dwir182
    Nov 13 '18 at 0:29











  • Ok! Let me see. I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2) Hope that helps a bit.

    – Martincho
    Nov 13 '18 at 0:35






  • 1





    Put it on your question to provide more info..

    – dwir182
    Nov 13 '18 at 0:37












  • 1





    Show your sample data and expected result with formatted table.. You can use This And your group by is weird.. Your select use user_type.user_type_description but your group by user.user_type

    – dwir182
    Nov 13 '18 at 0:09












  • I used your link, but stackoverflow just omits spaces. Yes, I group by user type, which is a number. 0=admin 1=mod 2=fully_reg_user 3=anonymous. user_type_description contains the text description for those numbers.

    – Martincho
    Nov 13 '18 at 0:22






  • 1





    I can't follow you if you don't show sample data..

    – dwir182
    Nov 13 '18 at 0:29











  • Ok! Let me see. I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2) Hope that helps a bit.

    – Martincho
    Nov 13 '18 at 0:35






  • 1





    Put it on your question to provide more info..

    – dwir182
    Nov 13 '18 at 0:37







1




1





Show your sample data and expected result with formatted table.. You can use This And your group by is weird.. Your select use user_type.user_type_description but your group by user.user_type

– dwir182
Nov 13 '18 at 0:09






Show your sample data and expected result with formatted table.. You can use This And your group by is weird.. Your select use user_type.user_type_description but your group by user.user_type

– dwir182
Nov 13 '18 at 0:09














I used your link, but stackoverflow just omits spaces. Yes, I group by user type, which is a number. 0=admin 1=mod 2=fully_reg_user 3=anonymous. user_type_description contains the text description for those numbers.

– Martincho
Nov 13 '18 at 0:22





I used your link, but stackoverflow just omits spaces. Yes, I group by user type, which is a number. 0=admin 1=mod 2=fully_reg_user 3=anonymous. user_type_description contains the text description for those numbers.

– Martincho
Nov 13 '18 at 0:22




1




1





I can't follow you if you don't show sample data..

– dwir182
Nov 13 '18 at 0:29





I can't follow you if you don't show sample data..

– dwir182
Nov 13 '18 at 0:29













Ok! Let me see. I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2) Hope that helps a bit.

– Martincho
Nov 13 '18 at 0:35





Ok! Let me see. I am counting police reports of robbery, made from different kind of users. In my example, "admin" users reported 6 incidents of code "2" (robbery) and so on, as is showed in 'where' clause (incident must be robbery, also code 2) Hope that helps a bit.

– Martincho
Nov 13 '18 at 0:35




1




1





Put it on your question to provide more info..

– dwir182
Nov 13 '18 at 0:37





Put it on your question to provide more info..

– dwir182
Nov 13 '18 at 0:37












3 Answers
3






active

oldest

votes


















2














You can try to use condition aggregate function base on your current result set.



SUM with CASE WHEN expression.



SELECT SUM(CASE WHEN user_type_description IN ('Admin','Moderator','Fully_registered_user') THEN Quantity END) Proper_users,
SUM(CASE WHEN user_type_description = 'anonymous_user' THEN Quantity END) Anonymous
FROM (
SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
FROM incident
INNER JOIN user ON incident.user_id=user.user_id
INNER JOIN user_type ON user.user_type=user_type.user_type
WHERE incident.code=2
GROUP BY user.user_type
) t1





share|improve this answer























  • This worked perfectly. Thank you so much.

    – Martincho
    Nov 13 '18 at 1:03


















2














You just need conditional aggregation:



SELECT SUM( ut.user_type_description IN ('Admin', 'Moderator', 'Fully_registered_user') ) as Proper_users,
SUM( ut.user_type_description IN ('anonymous_user') as anonymous
FROM incident i INNER JOIN
user u
ON i.user_id = u.user_id INNER JOIN
user_type ut
ON u.user_type = ut.user_type
WHERE i.code = 2;


Notes:



  • Table aliases make the query easier to write and to read.

  • This uses a MySQL shortcut for adding values -- just just adding the booelean expressions.





share|improve this answer






























    1














    I would solve it with a CTE, but it would be better to have this association in a table.



    WITH
    user_type_categories
    AS
    (
    SELECT 'Admin' AS [user_type_description] , 'Proper_users' AS [user_type_category]
    UNION SELECT 'Moderator' AS [user_type_description] , 'Proper_users' AS [user_type_category]
    UNION SELECT 'Fully_registered_user' AS [user_type_description] , 'Proper_users' AS [user_type_category]
    UNION SELECT 'anonymous_user' AS [user_type_description] , 'Anonymous' AS [user_type_category]
    )
    SELECT
    CASE WHEN utc.[user_type_category] = 'Proper_users' THEN
    SUM(incident.user_id)
    END AS [Proper_Users_Quantity]
    , CASE WHEN utc.[user_type_category] = 'Anonymous' THEN
    SUM(incident.user_id)
    END AS [Anonymous_Quantity]
    FROM
    [incident]
    INNER JOIN [user] ON [incident].[user_id] = [user].[user_id]
    INNER JOIN [user_type] ON [user].[user_type] = [user_type].[user_type]
    LEFT JOIN user_type_categories AS utc ON utc.[user_type_description] = [user_type].[user_type_description]
    WHERE
    [incident].[code] = 2





    share|improve this answer

























    • Holy guacamole. I am not allowed to put this code but I will take note of this solution.

      – Martincho
      Nov 13 '18 at 0:53










    Your Answer






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    3 Answers
    3






    active

    oldest

    votes








    3 Answers
    3






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    2














    You can try to use condition aggregate function base on your current result set.



    SUM with CASE WHEN expression.



    SELECT SUM(CASE WHEN user_type_description IN ('Admin','Moderator','Fully_registered_user') THEN Quantity END) Proper_users,
    SUM(CASE WHEN user_type_description = 'anonymous_user' THEN Quantity END) Anonymous
    FROM (
    SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
    FROM incident
    INNER JOIN user ON incident.user_id=user.user_id
    INNER JOIN user_type ON user.user_type=user_type.user_type
    WHERE incident.code=2
    GROUP BY user.user_type
    ) t1





    share|improve this answer























    • This worked perfectly. Thank you so much.

      – Martincho
      Nov 13 '18 at 1:03















    2














    You can try to use condition aggregate function base on your current result set.



    SUM with CASE WHEN expression.



    SELECT SUM(CASE WHEN user_type_description IN ('Admin','Moderator','Fully_registered_user') THEN Quantity END) Proper_users,
    SUM(CASE WHEN user_type_description = 'anonymous_user' THEN Quantity END) Anonymous
    FROM (
    SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
    FROM incident
    INNER JOIN user ON incident.user_id=user.user_id
    INNER JOIN user_type ON user.user_type=user_type.user_type
    WHERE incident.code=2
    GROUP BY user.user_type
    ) t1





    share|improve this answer























    • This worked perfectly. Thank you so much.

      – Martincho
      Nov 13 '18 at 1:03













    2












    2








    2







    You can try to use condition aggregate function base on your current result set.



    SUM with CASE WHEN expression.



    SELECT SUM(CASE WHEN user_type_description IN ('Admin','Moderator','Fully_registered_user') THEN Quantity END) Proper_users,
    SUM(CASE WHEN user_type_description = 'anonymous_user' THEN Quantity END) Anonymous
    FROM (
    SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
    FROM incident
    INNER JOIN user ON incident.user_id=user.user_id
    INNER JOIN user_type ON user.user_type=user_type.user_type
    WHERE incident.code=2
    GROUP BY user.user_type
    ) t1





    share|improve this answer













    You can try to use condition aggregate function base on your current result set.



    SUM with CASE WHEN expression.



    SELECT SUM(CASE WHEN user_type_description IN ('Admin','Moderator','Fully_registered_user') THEN Quantity END) Proper_users,
    SUM(CASE WHEN user_type_description = 'anonymous_user' THEN Quantity END) Anonymous
    FROM (
    SELECT user_type.user_type_description,COUNT(incident.user_id) as Quantity
    FROM incident
    INNER JOIN user ON incident.user_id=user.user_id
    INNER JOIN user_type ON user.user_type=user_type.user_type
    WHERE incident.code=2
    GROUP BY user.user_type
    ) t1






    share|improve this answer












    share|improve this answer



    share|improve this answer










    answered Nov 13 '18 at 0:50









    D-ShihD-Shih

    26.5k61532




    26.5k61532












    • This worked perfectly. Thank you so much.

      – Martincho
      Nov 13 '18 at 1:03

















    • This worked perfectly. Thank you so much.

      – Martincho
      Nov 13 '18 at 1:03
















    This worked perfectly. Thank you so much.

    – Martincho
    Nov 13 '18 at 1:03





    This worked perfectly. Thank you so much.

    – Martincho
    Nov 13 '18 at 1:03













    2














    You just need conditional aggregation:



    SELECT SUM( ut.user_type_description IN ('Admin', 'Moderator', 'Fully_registered_user') ) as Proper_users,
    SUM( ut.user_type_description IN ('anonymous_user') as anonymous
    FROM incident i INNER JOIN
    user u
    ON i.user_id = u.user_id INNER JOIN
    user_type ut
    ON u.user_type = ut.user_type
    WHERE i.code = 2;


    Notes:



    • Table aliases make the query easier to write and to read.

    • This uses a MySQL shortcut for adding values -- just just adding the booelean expressions.





    share|improve this answer



























      2














      You just need conditional aggregation:



      SELECT SUM( ut.user_type_description IN ('Admin', 'Moderator', 'Fully_registered_user') ) as Proper_users,
      SUM( ut.user_type_description IN ('anonymous_user') as anonymous
      FROM incident i INNER JOIN
      user u
      ON i.user_id = u.user_id INNER JOIN
      user_type ut
      ON u.user_type = ut.user_type
      WHERE i.code = 2;


      Notes:



      • Table aliases make the query easier to write and to read.

      • This uses a MySQL shortcut for adding values -- just just adding the booelean expressions.





      share|improve this answer

























        2












        2








        2







        You just need conditional aggregation:



        SELECT SUM( ut.user_type_description IN ('Admin', 'Moderator', 'Fully_registered_user') ) as Proper_users,
        SUM( ut.user_type_description IN ('anonymous_user') as anonymous
        FROM incident i INNER JOIN
        user u
        ON i.user_id = u.user_id INNER JOIN
        user_type ut
        ON u.user_type = ut.user_type
        WHERE i.code = 2;


        Notes:



        • Table aliases make the query easier to write and to read.

        • This uses a MySQL shortcut for adding values -- just just adding the booelean expressions.





        share|improve this answer













        You just need conditional aggregation:



        SELECT SUM( ut.user_type_description IN ('Admin', 'Moderator', 'Fully_registered_user') ) as Proper_users,
        SUM( ut.user_type_description IN ('anonymous_user') as anonymous
        FROM incident i INNER JOIN
        user u
        ON i.user_id = u.user_id INNER JOIN
        user_type ut
        ON u.user_type = ut.user_type
        WHERE i.code = 2;


        Notes:



        • Table aliases make the query easier to write and to read.

        • This uses a MySQL shortcut for adding values -- just just adding the booelean expressions.






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 13 '18 at 1:18









        Gordon LinoffGordon Linoff

        786k35310416




        786k35310416





















            1














            I would solve it with a CTE, but it would be better to have this association in a table.



            WITH
            user_type_categories
            AS
            (
            SELECT 'Admin' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Moderator' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Fully_registered_user' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'anonymous_user' AS [user_type_description] , 'Anonymous' AS [user_type_category]
            )
            SELECT
            CASE WHEN utc.[user_type_category] = 'Proper_users' THEN
            SUM(incident.user_id)
            END AS [Proper_Users_Quantity]
            , CASE WHEN utc.[user_type_category] = 'Anonymous' THEN
            SUM(incident.user_id)
            END AS [Anonymous_Quantity]
            FROM
            [incident]
            INNER JOIN [user] ON [incident].[user_id] = [user].[user_id]
            INNER JOIN [user_type] ON [user].[user_type] = [user_type].[user_type]
            LEFT JOIN user_type_categories AS utc ON utc.[user_type_description] = [user_type].[user_type_description]
            WHERE
            [incident].[code] = 2





            share|improve this answer

























            • Holy guacamole. I am not allowed to put this code but I will take note of this solution.

              – Martincho
              Nov 13 '18 at 0:53















            1














            I would solve it with a CTE, but it would be better to have this association in a table.



            WITH
            user_type_categories
            AS
            (
            SELECT 'Admin' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Moderator' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Fully_registered_user' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'anonymous_user' AS [user_type_description] , 'Anonymous' AS [user_type_category]
            )
            SELECT
            CASE WHEN utc.[user_type_category] = 'Proper_users' THEN
            SUM(incident.user_id)
            END AS [Proper_Users_Quantity]
            , CASE WHEN utc.[user_type_category] = 'Anonymous' THEN
            SUM(incident.user_id)
            END AS [Anonymous_Quantity]
            FROM
            [incident]
            INNER JOIN [user] ON [incident].[user_id] = [user].[user_id]
            INNER JOIN [user_type] ON [user].[user_type] = [user_type].[user_type]
            LEFT JOIN user_type_categories AS utc ON utc.[user_type_description] = [user_type].[user_type_description]
            WHERE
            [incident].[code] = 2





            share|improve this answer

























            • Holy guacamole. I am not allowed to put this code but I will take note of this solution.

              – Martincho
              Nov 13 '18 at 0:53













            1












            1








            1







            I would solve it with a CTE, but it would be better to have this association in a table.



            WITH
            user_type_categories
            AS
            (
            SELECT 'Admin' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Moderator' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Fully_registered_user' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'anonymous_user' AS [user_type_description] , 'Anonymous' AS [user_type_category]
            )
            SELECT
            CASE WHEN utc.[user_type_category] = 'Proper_users' THEN
            SUM(incident.user_id)
            END AS [Proper_Users_Quantity]
            , CASE WHEN utc.[user_type_category] = 'Anonymous' THEN
            SUM(incident.user_id)
            END AS [Anonymous_Quantity]
            FROM
            [incident]
            INNER JOIN [user] ON [incident].[user_id] = [user].[user_id]
            INNER JOIN [user_type] ON [user].[user_type] = [user_type].[user_type]
            LEFT JOIN user_type_categories AS utc ON utc.[user_type_description] = [user_type].[user_type_description]
            WHERE
            [incident].[code] = 2





            share|improve this answer















            I would solve it with a CTE, but it would be better to have this association in a table.



            WITH
            user_type_categories
            AS
            (
            SELECT 'Admin' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Moderator' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'Fully_registered_user' AS [user_type_description] , 'Proper_users' AS [user_type_category]
            UNION SELECT 'anonymous_user' AS [user_type_description] , 'Anonymous' AS [user_type_category]
            )
            SELECT
            CASE WHEN utc.[user_type_category] = 'Proper_users' THEN
            SUM(incident.user_id)
            END AS [Proper_Users_Quantity]
            , CASE WHEN utc.[user_type_category] = 'Anonymous' THEN
            SUM(incident.user_id)
            END AS [Anonymous_Quantity]
            FROM
            [incident]
            INNER JOIN [user] ON [incident].[user_id] = [user].[user_id]
            INNER JOIN [user_type] ON [user].[user_type] = [user_type].[user_type]
            LEFT JOIN user_type_categories AS utc ON utc.[user_type_description] = [user_type].[user_type_description]
            WHERE
            [incident].[code] = 2






            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Nov 13 '18 at 1:24

























            answered Nov 13 '18 at 0:45









            aduguidaduguid

            2,23661132




            2,23661132












            • Holy guacamole. I am not allowed to put this code but I will take note of this solution.

              – Martincho
              Nov 13 '18 at 0:53

















            • Holy guacamole. I am not allowed to put this code but I will take note of this solution.

              – Martincho
              Nov 13 '18 at 0:53
















            Holy guacamole. I am not allowed to put this code but I will take note of this solution.

            – Martincho
            Nov 13 '18 at 0:53





            Holy guacamole. I am not allowed to put this code but I will take note of this solution.

            – Martincho
            Nov 13 '18 at 0:53

















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