How do I include multiple conditions for MySql query?












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I am trying to count the number of clinics in each zipcode for my table. Using the query below, this counts the number of clinics but also includes repetitions. E.g Clinic A is shown to appear in 5 rows because there is a column that shows the days for each clinic. To make this easy to understand, please look at a snapshot of my table: sql table So you see there are some addresses that appear only on one day and some appear more than once. How do I write my query to account for that? I tried addresses but it gave me a syntax error. Here is what I tried but I know its still adding repeated clinics:



SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(`ZIP Code`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


The result of the query is shown below:countimage










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    I am trying to count the number of clinics in each zipcode for my table. Using the query below, this counts the number of clinics but also includes repetitions. E.g Clinic A is shown to appear in 5 rows because there is a column that shows the days for each clinic. To make this easy to understand, please look at a snapshot of my table: sql table So you see there are some addresses that appear only on one day and some appear more than once. How do I write my query to account for that? I tried addresses but it gave me a syntax error. Here is what I tried but I know its still adding repeated clinics:



    SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(`ZIP Code`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


    The result of the query is shown below:countimage










    share|improve this question

























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      I am trying to count the number of clinics in each zipcode for my table. Using the query below, this counts the number of clinics but also includes repetitions. E.g Clinic A is shown to appear in 5 rows because there is a column that shows the days for each clinic. To make this easy to understand, please look at a snapshot of my table: sql table So you see there are some addresses that appear only on one day and some appear more than once. How do I write my query to account for that? I tried addresses but it gave me a syntax error. Here is what I tried but I know its still adding repeated clinics:



      SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(`ZIP Code`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


      The result of the query is shown below:countimage










      share|improve this question














      I am trying to count the number of clinics in each zipcode for my table. Using the query below, this counts the number of clinics but also includes repetitions. E.g Clinic A is shown to appear in 5 rows because there is a column that shows the days for each clinic. To make this easy to understand, please look at a snapshot of my table: sql table So you see there are some addresses that appear only on one day and some appear more than once. How do I write my query to account for that? I tried addresses but it gave me a syntax error. Here is what I tried but I know its still adding repeated clinics:



      SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(`ZIP Code`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


      The result of the query is shown below:countimage







      mysql






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      asked Nov 20 '18 at 2:51









      cheenacheena

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          The word 'distinct' just came to me. I simply edited my code to:



          SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(DISTINCT `Address`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


          UpdatedCount



          This shows the number of unique addresses and thus, the number of clinics based on the address.






          share|improve this answer























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            The word 'distinct' just came to me. I simply edited my code to:



            SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(DISTINCT `Address`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


            UpdatedCount



            This shows the number of unique addresses and thus, the number of clinics based on the address.






            share|improve this answer




























              1














              The word 'distinct' just came to me. I simply edited my code to:



              SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(DISTINCT `Address`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


              UpdatedCount



              This shows the number of unique addresses and thus, the number of clinics based on the address.






              share|improve this answer


























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                1







                The word 'distinct' just came to me. I simply edited my code to:



                SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(DISTINCT `Address`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


                UpdatedCount



                This shows the number of unique addresses and thus, the number of clinics based on the address.






                share|improve this answer













                The word 'distinct' just came to me. I simply edited my code to:



                SELECT SUBSTRING_INDEX(Date, "/", -1) As `Year`, `ZIP Code`, COUNT(DISTINCT `Address`) AS `Facilities` FROM `past_chicago_clinics` GROUP BY `ZIP Code`, `Year`


                UpdatedCount



                This shows the number of unique addresses and thus, the number of clinics based on the address.







                share|improve this answer












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                share|improve this answer










                answered Nov 20 '18 at 3:00









                cheenacheena

                2410




                2410






























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