load data to matlab

To deal with the data, we have to load it to matlab and express it with variables.

%load data to matlab
rawdata = load('E:\Pattern Recognition\Data Mining Repository\adult\resource\converted_data.data');

%get data of all fields
age = rawdata(:,1)';
workclass = rawdata(:,2)';
fnlwgt = rawdata(:,3)';
education = rawdata(:,4)';
education_num = rawdata(:,5)';
marital_status = rawdata(:,6)';
occupation = rawdata(:,7)';
relationship = rawdata(:,8)';
race = rawdata(:,9)';
sex = rawdata(:,10)';
capital_gain = rawdata(:,11)';
capital_loss = rawdata(:,12)';
hours_per_week = rawdata(:,13)';
native_country = rawdata(:,14)';
isover5 = rawdata(:,15)';

[i,j] = size(rawdata);

image(1)
range = (1:1:100);
[n,m] = hist(age,range);
plot(range, n);
hold on
plot(range, n);

In this way, we get the distribution of all ages in the survey: