Retail Projects 1 - Laptop Sales Analysis Intro 1 - Section 123

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Geo-targeting Project [23-25]

We will look at the volumes sold and the sales generated for each configuration to decide which configuration to promote:

proc sql;
create table config as
select configuration, count(*) as num_sold, sum(price) as total_sales
from sales_q1_loc_pos4
group by configuration
order by total_sales desc;
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;

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;

data sales_q1_loc_pos3;
set sales_q1_loc_pos2;

if cust_x = . then cust_x = cust_x1;
if cust_y = . then cust_y = cust_y1;

drop cust_x1 cust_y1;
run;

data sales_q1_loc_pos4;
set sales_q1_loc_pos3;

distance = round(((store_x-cust_x)**2 + (store_y-cust_y)**2) **0.5, 1);

run;

proc sql;
create table target as
select distinct store_postcode
from sales_q1_loc_pos4
where store_postcode in ('E7 8NW' 'N17 6QA' 'CR7 8LE');
quit;

proc sql;
create table target_postcode as
select a.*,
       round(((b.os_x - a.os_x)**2 + (b.os_y - a.os_y)**2) **0.5, 1) as dist
from all_postcode a, locations b
where b.postcode in
  (select store_postcode
   from target) and 
calculated dist <= 4500;
quit;

The configurations are sorted by total revenue generated in descending order: