Retail Projects 1 - Laptop Sales Analysis Intro 1 - Section 114

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Geo-targeting Project [14-25]

We will now map the full list of England's postcodes back to the SALES_Q1_LOC_POS table:

proc sql;
create table sales_q1_loc_pos2 as
select a.*, b.os_x as cust_x1, b.os_y as cust_y1
from sales_q1_loc_pos a left join all_postcode b
on a.customer_postcode = b.postcode;
quit;

Did the code fail?

Copy and run the code below to create the input data sets.

proc import datafile = "/folders/myfolders/Geo-targeting/Data Files/Sales_Q1.csv"
 out = Sales_Q1
 dbms = CSV
 replace
 ;
run;

proc import datafile = "/folders/myfolders/Geo-targeting/Data Files/locations.csv"
 out = locations
 dbms = CSV
 replace
 ;
run;

proc import datafile = "/folders/myfolders/Geo-targeting/Data Files/postcode.csv"
 out = postcode
 dbms = CSV
 replace
 ;
run;

proc sql;
create table sales_q1_loc as
select a.*, b.os_x as store_x, b.os_y as store_y
from sales_q1 a, locations b
where a.store_postcode = b.postcode;
quit;

proc sql;
create table sales_q1_loc_pos as
select a.*, b.os_x as cust_x, b.os_y as cust_y
from sales_q1_loc a left join postcode b
on a.customer_postcode = b.postcode;
quit;

filename postcode '/folders/myfolders/Geo-targeting/Data Files/open_postcode_geo.csv';

data all_postcode (keep=postcode os_x os_y);
infile postcode dsd firstobs=2;
input postcode : $8.
      col1 : $10.
      col2 : $5.
      os_x os_y
      col3 
      area : $8.;
if area = "England" and os_x^=.;
run;

The Proc SQL step above adds two additional columns to the table:

CUST_X1 and
CUST_Y1