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Topic: read a csv
Replies: 7   Last Post: Dec 13, 2012 11:04 AM

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Eleftheria Paidousi

Posts: 7
Registered: 12/11/12
read a csv
Posted: Dec 13, 2012 10:55 AM
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> try:
> a=importdata(filename);
> b=a.textdata(cellnumber:cellnumber,1);


>> b=a.textdata(17:45212,1);
Attempt to reference field of non-structure array.

> or
> name=xlsread(filename,'A19:X8778')

doesn't read categorical data!

my data set is like

age job marital education default balance housing loan contact day month duration campaign pdays previous poutcome y
30 unemployed married primary no 1787 no no cellular 19 oct 79 1 -1 0 unknown no
33 services married secondary no 4789 yes yes cellular 11 may 220 1 339 4 failure no
35 management single tertiary no 1350 yes no cellular 16 apr 185 1 330 1 failure no
30 management married tertiary no 1476 yes yes unknown 3 jun 199 4 -1 0 unknown no
59 blue-collar married secondary no 0 yes no unknown 5 may 226 1 -1 0 unknown no
35 management single tertiary no 747 no no cellular 23 feb 141 2 176 3 failure no
36 self-employed married tertiary no 307 yes no cellular 14 may 341 1 330 2 other no
39 technician married secondary no 147 yes no cellular 6 may 151 2 -1 0 unknown no
41 entrepreneur married tertiary no 221 yes no unknown 14 may 57 2 -1 0 unknown no


or

"age";"job";"marital";"education";"default";"balance";"housing";"loan";"contact";"day";"month";"duration";"campaign";"pdays";"previous";"poutcome";"y"
30;"unemployed";"married";"primary";"no";1787;"no";"no";"cellular";19;"oct";79;1;-1;0;"unknown";"no"
33;"services";"married";"secondary";"no";4789;"yes";"yes";"cellular";11;"may";220;1;339;4;"failure";"no"
35;"management";"single";"tertiary";"no";1350;"yes";"no";"cellular";16;"apr";185;1;330;1;"failure";"no"
30;"management";"married";"tertiary";"no";1476;"yes";"yes";"unknown";3;"jun";199;4;-1;0;"unknown";"no"
59;"blue-collar";"married";"secondary";"no";0;"yes";"no";"unknown";5;"may";226;1;-1;0;"unknown";"no"
35;"management";"single";"tertiary";"no";747;"no";"no";"cellular";23;"feb";141;2;176;3;"failure";"no"
36;"self-employed";"married";"tertiary";"no";307;"yes";"no";"cellular";14;"may";341;1;330;2;"other";"no"
39;"technician";"married";"secondary";"no";147;"yes";"no";"cellular";6;"may";151;2;-1;0;"unknown";"no"
41;"entrepreneur";"married";"tertiary";"no";221;"yes";"no";"unknown";14;"may";57;2;-1;0;"unknown";"no"
43;"services";"married";"primary";"no";-88;"yes";"yes";"cellular";17;"apr";313;1;147;2;"failure";"no"
39;"services";"married";"secondary";"no";9374;"yes";"no";"unknown";20;"may";273;1;-1;0;"unknown";"no"
43;"admin.";"married";"secondary";"no";264;"yes";"no";"cellular";17;"apr";113;2;-1;0;"unknown";"no"
36;"technician";"married";"tertiary";"no";1109;"no";"no";"cellular";13;"aug";328;2;-1;0;"unknown";"no"
20;"student";"single";"secondary";"no";502;"no";"no";"cellular";30;"apr";261;1;-1;0;"unknown";"yes"
31;"blue-collar";"married";"secondary";"no";360;"yes";"yes";"cellular";29;"jan";89;1;241;1;"failure";"no"
40;"management";"married";"tertiary";"no";194;"no";"yes";"cellular";29;"aug";189;2;-1;0;"unknown";"no"
56;"technician";"married";"secondary";"no";4073;"no";"no";"cellular";27;"aug";239;5;-1;0;"unknown";"no"
37;"admin.";"single";"tertiary";"no";2317;"yes";"no";"cellular";20;"apr";114;1;152;2;"failure";"no"
25;"blue-collar";"single";"primary";"no";-221;"yes";"no";"unknown";23;"may";250;1;-1;0;"unknown";"no"
31;"services";"married";"secondary";"no";132;"no";"no";"cellular";7;"jul";148;1;152;1;"other";"no"
38;"management";"divorced";"unknown";"no";0;"yes";"no";"cellular";18;"nov";96;2;-1;0;"unknown";"no"
42;"management";"divorced";"tertiary";"no";16;"no";"no";"cellular";19;"nov";140;3;-1;0;"unknown";"no"
44;"services";"single";"secondary";"no";106;"no";"no";"unknown";12;"jun";109;2;-1;0;"unknown";"no"
44;"entrepreneur";"married";"secondary";"no";93;"no";"no";"cellular";7;"jul";125;2;-1;0;"unknown";"no"
26;"housemaid";"married";"tertiary";"no";543;"no";"no";"cellular";30;"jan";169;3;-1;0;"unknown";"no"
41;"management";"married";"tertiary";"no";5883;"no";"no";"cellular";20;"nov";182;2;-1;0;"unknown";"no"
55;"blue-collar";"married";"primary";"no";627;"yes";"no";"unknown";5;"may";247;1;-1;0;"unknown";"no"
67;"retired";"married";"unknown";"no";696;"no";"no";"telephone";17;"aug";119;1;105;2;"failure";"no"
56;"self-employed";"married";"secondary";"no";784;"no";"yes";"cellular";30;"jul";149;2;-1;0;"unknown";"no"
53;"admin.";"married";"secondary";"no";105;"no";"yes";"cellular";21;"aug";74;2;-1;0;"unknown";"no"
68;"retired";"divorced";"secondary";"no";4189;"no";"no";"telephone";14;"jul";897;2;-1;0;"unknown";"yes"
31;"technician";"married";"secondary";"no";171;"no";"no";"cellular";27;"aug";81;3;-1;0;"unknown";"no"
59;"management";"married";"secondary";"no";42;"no";"no";"cellular";21;"nov";40;1;-1;0;"unknown";"no"
32;"management";"single";"tertiary";"no";2536;"yes";"no";"cellular";26;"aug";958;6;-1;0;"unknown";"yes"
49;"technician";"married";"tertiary";"no";1235;"no";"no";"cellular";13;"aug";354;3;-1;0;"unknown";"yes"
42;"admin.";"divorced";"secondary";"no";1811;"yes";"no";"unknown";14;"may";150;1;-1;0;"unknown";"no"
78;"retired";"divorced";"primary";"no";229;"no";"no";"telephone";22;"oct";97;1;-1;0;"unknown";"yes"
32;"blue-collar";"married";"secondary";"no";2089;"yes";"no";"cellular";14;"nov";132;1;-1;0;"unknown";"yes"
33;"management";"married";"secondary";"no";3935;"yes";"no";"cellular";6;"may";765;1;342;2;"failure";"yes"
23;"services";"single";"tertiary";"no";363;"yes";"no";"unknown";30;"may";16;18;-1;0;"unknown";"no"
38;"management";"single";"tertiary";"no";11971;"yes";"no";"unknown";17;"nov";609;2;101;3;"failure";"no"
36;"management";"single";"tertiary";"no";553;"no";"no";"cellular";11;"aug";106;2;-1;0;"unknown";"no"
52;"blue-collar";"married";"secondary";"no";1117;"yes";"no";"cellular";13;"may";365;1;-1;0;"unknown";"no"
32;"technician";"married";"tertiary";"no";396;"yes";"no";"cellular";13;"may";205;3;-1;0;"unknown";"no"
32;"technician";"single";"tertiary";"no";2204;"yes";"no";"cellular";21;"nov";11;4;-1;0;"unknown";"no"
34;"management";"single";"tertiary";"no";872;"yes";"no";"unknown";7;"may";105;2;-1;0;"unknown";"no"
55;"blue-collar";"married";"primary";"no";145;"no";"no";"telephone";2;"feb";59;3;5;2;"other";"no"
26;"blue-collar";"married";"primary";"no";0;"yes";"no";"unknown";21;"may";425;1;-1;0;"unknown";"no"
32;"entrepreneur";"single";"primary";"yes";-849;"yes";"yes";"cellular";4;"feb";204;1;-1;0;"unknown";"no"



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